diff --git a/101_BBHS.txt b/101_BBHS.txt
new file mode 100644
index 0000000..b55e583
--- /dev/null
+++ b/101_BBHS.txt
@@ -0,0 +1,102 @@
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diff --git a/101_step2.txt b/101_step2.txt
new file mode 100644
index 0000000..bdb1b27
--- /dev/null
+++ b/101_step2.txt
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diff --git a/Binary_BHs_M1M2.csv b/Binary_BHs_M1M2.csv
new file mode 100644
index 0000000..759c490
--- /dev/null
+++ b/Binary_BHs_M1M2.csv
@@ -0,0 +1,138 @@
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Spotting stellar-mass black holes in star clusters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pkg_g19 import folder_recognition, iterations_counter\n",
+    "import pkg_g19.cluster as cl\n",
+    "import pkg_g19.mass as ms\n",
+    "import pkg_g19.evolution as ev\n",
+    "import matplotlib.animation as animation\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from IPython.display import HTML, display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*Laboratory of Computational Physics (mod. A) project (A.Y. 2020/2021)*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " Group 19: **Benassi Federica** (2019102), **Ghidoni Rebecca** (2026709),\n",
+    " **Negri Luca** (2027589), **Rinaldi Luca** (2026363)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "<img src=\"New_Hubble_image_of_star_cluster_Messier_15.jpg\"  alt=\"Drawing\" style=\"width: 400px;\"/>\n",
+    "\n",
+    "***\n",
+    "\n",
+    "<img src=\"MergingBlackHoles_V2.jpg\"  alt=\"Drawing\" style=\"width: 400px;\"/>\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "## Introduction\n",
+    "***"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Gravitational waves have been detected by the interferometers LIGO and VIRGO in 2015 thanks to the observation of merging black holes in binary systems. The study of these objects and their dynamics is therefore fundamental in order to understand how gravitational waves form and to improve the forthcoming detections. In this project we studied the dynamics of star clusters in 83 simulations in a time interval of 100 Mys, with particular focus on black holes and their behavior in binary systems."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Simulation code: NBODY6++GPU"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The clusters and their evolution have been generated by NBODY6++GPU, a simulation code for the N-body dynamics based on the direct integration of the Newtonian equations of motion and the Hermite polynomial interpolation. The code has been realized by Emil Khalisi, Long Wang and Rainer Spurzem, and its development began in the 1960s. It takes in input a minimum of 90 parameters which guide one simulation run for its technical properties (such as the duration of the simulation or the intervals of output) and physical features (size of the cluster or initial conditions).\n",
+    "  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Data structure\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The output is divided in many data files, providing snapshots with a certain iteration frequency in order to study the evolution of the properties of the cluster and the formation and dynamics of its components.\n",
+    "Each data file is structured as **name**.**unit**_**step**:\n",
+    "- *name* identifies the data contained inside the file;\n",
+    "- *unit* identifies the subroutine of the code from which the data have been produced\n",
+    "- *step* identifies the iteration step at which data have been produced.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The tasks assigned required us the usage of three main data files, each belonging to the same subroutine:\n",
+    "+ single.40_*step*, showing the data of the isolated stars; \n",
+    "+ binary.40_*step*, showing the data of binary systems;\n",
+    "+ merger.40_*step*, showing the data of N > 2 bound systems.\n",
+    "\n",
+    "These output files show a great number of features (varying from 14 to 50). For our purposes we only considered the **mass** ($M$, reported in solar masses), the **type** ( $K*$ ) and the **position array** ($X$, $Y$, $Z$, reported in Parsecs, with (0,0,0) being the center of mass of the cluster) as features, importing them as Pandas dataframes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Since these systems contain a different number of objects, the data organization of their corresponding files is different, and so the column indices to be selected while reading the files.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ single.40_ contains data about single stars in each row, so the dataset obtained has the form\n",
+    "\n",
+    "NAME| M($M_{\\odot}$) | K* | $X$ | $Y$ | $Z$\n",
+    "---|---|--- | --- | --- | --- |\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ binary.40_ contains data about binary stars: in each row the dataset will have the information about both the stars (1 and 2) in the binary system\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "NAME1 | NAME2 | M1($M_{\\odot}$) |  M2($M_{\\odot}$) | K*(1) | K*(2) | $X_{CM}$ | $Y_{CM}$ | $Z_{CM}$\n",
+    "---|---|--- | --- | --- | --- | --- | --- | --- |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ merger.40_ contains data about more complex systems involving binary stars and another object. Therefore, the structure of the dataset is:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "NAME1 | NAME2 | NAME3 | M1( $M_{\\odot}$) |  M2($M_{\\odot}$) | M3($M_{\\odot}$) | K*(1) | K*(2) | K*(3) | $X_{CM}$ | $Y_{CM}$ | $Z_{CM}$\n",
+    "---|---|--- |---|---| --- | --- | --- | --- |---| --- | --- |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Code structure\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "All the code written used in this notebook can be found in the `pkg_g19` python module. The module is divided into 4 main parts:\n",
+    "\n",
+    "\n",
+    "- `pkg_g19.__init__` contains the functions used to import the data in Pandas dataframes and analyze the contents of the directories\n",
+    "- `pkg_g19.cluster`  contains the function relating to the study of whole clusters\n",
+    "- `pkg_g19.mass `    contains the functions relating to the analysis of mass distribution of Black holes\n",
+    "- `pkg_19.evolution` contains the functions used to examine the evolution of the mass function during the time of the simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "## NBODY: clusters and simulation parameters\n",
+    "***"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Star clusters are a really diverse class of objects in nature,  having anywhere from 100s to 100s of thousands of stars. All stars in a cluster are born around the same time, from the same gas cloud, and after  ~2 Million years all star formation is stopped.\n",
+    "\n",
+    "These simulations aim to show the behaviour of young star clusters, with sizes ranging from ~8000 stars to ~15000 stars, with a somewhat uniform distribution. All stars have the same age and no new ones are born during the simulation. For all simulations the metallicity parameter is set to $Z_0=0.0002$. \n",
+    "\n",
+    "Compared to the sun's neighbourhood, the star density in the clusters is really high. This results in chaotic gravitational interactions that sometimes end up in the ejection of some stars from the cluster. In these simulations everytime a star gets more than 50 Parsec away from the center of the cluster, it is considered ejected, and its parameters are not printed in the output files anymore. So, the total number of stars and the mass function of the cluster changes during the time in which it is simulated. We will show this effect more in detail in the next chapters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***\n",
+    "These plots show the starting positions of some of the simulations. Only the $X$ and $Y$ coordinates of the stars are shown.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
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+       "    this.format_dropdown = undefined;\n",
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+       "\n",
+       "    this.root = $('<div/>');\n",
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+       "\n",
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+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
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+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"1500\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "folders=folder_recognition('/data_2020')\n",
+    "paths=['/data_2020/'+Mx+'_D1.6_Z0.0002' for Mx in folders]\n",
+    "\n",
+    "\n",
+    "fig,(ax1,ax2,ax3)=plt.subplots(1,3,figsize=[15,5])\n",
+    "\n",
+    "size=[4,4]\n",
+    "lims=[-10,10,-10,10]\n",
+    "\n",
+    "data=cl.cluster_importer(paths[2],start=0,step=1)\n",
+    "cl.cluster_plotter(0,data,size=size,lims=lims,ax=ax1)\n",
+    "\n",
+    "data=cl.cluster_importer(paths[30],start=0,step=1)\n",
+    "cl.cluster_plotter(0,data,size=size,lims=lims,ax=ax2)\n",
+    "\n",
+    "data=cl.cluster_importer(paths[-1],start=0,step=1)\n",
+    "cl.cluster_plotter(0,data,size=size,lims=lims,ax=ax3)\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here are the same clustrers and how they appear at the end of the simulation. The stars are now much more spread out"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"1500\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig,(ax1,ax2,ax3)=plt.subplots(1,3,figsize=[15,5])\n",
+    "\n",
+    "size=[4,4]\n",
+    "lims=[-10,10,-10,10]\n",
+    "\n",
+    "name1 = 'single.40_'\n",
+    "\n",
+    "\n",
+    "start=iterations_counter(paths[2], name1)-1\n",
+    "data=cl.cluster_importer(paths[2],start=start,step=1)\n",
+    "cl.cluster_plotter(0,data,size=size,lims=lims,ax=ax1,BH_plotter=False)\n",
+    "\n",
+    "start=iterations_counter(paths[30], name1)-1\n",
+    "data=cl.cluster_importer(paths[30],start=start,step=1)\n",
+    "cl.cluster_plotter(0,data,size=size,lims=lims,ax=ax2,BH_plotter=False)\n",
+    "\n",
+    "start=iterations_counter(paths[-1], name1)-1\n",
+    "data=cl.cluster_importer(paths[-1],start=start,step=1)\n",
+    "cl.cluster_plotter(0,data,size=size,lims=lims,ax=ax3,BH_plotter=False)\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Also, we produced an animation to see the dynamics of the cluster. The left end side image represents one of the clusters in a 25-parsecs range, while the right end side one represents the same cluster in a 10-parsecs range. As it can be seen, the motion of the stars is very chaotic and many of them are expelled."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table><tr><td><img src='cluster25.gif'></td><td><img src='cluster10.gif'></td></tr></table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#from IPython.display import HTML, display\n",
+    "display(HTML(\"<table><tr><td><img src='cluster25.gif'></td><td><img src='cluster10.gif'></td></tr></table>\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Task 1: number of black holes and final mass distribution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The number of the black holes in each cluster is around 10, therefore considering a single cluster at a time does not give us much information about the mass distribution we are looking for. Considering all the black holes from all the simulations at a certain time gives us an appropriate amount of data for our studies. This is done thanks to the function *stars_survey*. At first the code has been written for the study of all the stars of the cluster: in a following time an option for only selecting the black holes (which have $K*$ = 14) has been implemented."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The evolution of the mass function of the black holes in time is given by two main terms: \n",
+    "- the formation of new black holes via stellar evolution\n",
+    "- the expulsion of black holes from the cluster via gravitational interactions\n",
+    "\n",
+    "In the plot below we show the total number of black holes present at a given timestep in all of the simulations.\n",
+    "\n",
+    "It's highlighted where the black hole expulsion trend overtakes the black hole creation trend\n",
+    "\n",
+    "\n",
+    "<img src=\"Black_hole_N_evolution.png\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we focus on the **final** mass distribution of the black holes (at a time $T$ = 100 Mys), and in the following paragraphs we will consider also the evolution."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_single = ms.stars_survey('/data_2020', 'single', final_masses = True, black_holes = True)\n",
+    "data_binary = ms.stars_survey('/data_2020', 'binary', final_masses = True, black_holes = True)\n",
+    "data_merger = ms.stars_survey('/data_2020', 'merger', final_masses = True, black_holes = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Name1</th>\n",
+       "      <th>Name2</th>\n",
+       "      <th>Name3</th>\n",
+       "      <th>NameCM</th>\n",
+       "      <th>Mass1</th>\n",
+       "      <th>Mass2</th>\n",
+       "      <th>Mass3</th>\n",
+       "      <th>Type1</th>\n",
+       "      <th>Type2</th>\n",
+       "      <th>Type3</th>\n",
+       "      <th>TypeCM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3370</td>\n",
+       "      <td>3369</td>\n",
+       "      <td>3377</td>\n",
+       "      <td>-3370</td>\n",
+       "      <td>53.907799</td>\n",
+       "      <td>47.701431</td>\n",
+       "      <td>42.344032</td>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4037</td>\n",
+       "      <td>4038</td>\n",
+       "      <td>4031</td>\n",
+       "      <td>-4037</td>\n",
+       "      <td>33.732113</td>\n",
+       "      <td>23.040028</td>\n",
+       "      <td>46.510712</td>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>5277</td>\n",
+       "      <td>5249</td>\n",
+       "      <td>5253</td>\n",
+       "      <td>-5277</td>\n",
+       "      <td>42.545353</td>\n",
+       "      <td>52.926327</td>\n",
+       "      <td>32.013306</td>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Name1  Name2  Name3  NameCM      Mass1      Mass2      Mass3  Type1  Type2  \\\n",
+       "0   3370   3369   3377   -3370  53.907799  47.701431  42.344032     14     14   \n",
+       "1   4037   4038   4031   -4037  33.732113  23.040028  46.510712     14     14   \n",
+       "2   5277   5249   5253   -5277  42.545353  52.926327  32.013306     14     14   \n",
+       "\n",
+       "   Type3  TypeCM  \n",
+       "0     14       0  \n",
+       "1     14       0  \n",
+       "2     14       0  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(data_merger)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As seen in the desctiption of the datasets, *data_binary* and *data_merger* have different structures and multiple masses for each row. It is therefore necessary to do some other data manipulation in order to plot the mass distribution. This is done by the function *mass_wrapper*."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_masses, binary_masses, merger_masses = ms.mass_wrapper(data_single, data_binary, data_merger)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"700\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ms.histplotter([single_masses, binary_masses, merger_masses], ['Single black holes', 'Binary black holes', 'Merger black holes'], 'all')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Task 2: study of binary systems"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now focus on the features of the black holes binary systems. In particular, we are interested in the binary system formed by two black holes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "binary_2 = data_binary[[all([a,b]) for a,b in zip(data_binary['Type1']==14, data_binary['Type2']==14)]]\n",
+    "doublebh_masses = pd.concat([binary_2['Mass1'], binary_2['Mass2']], ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"700\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ms.histplotter([binary_masses, doublebh_masses], ['All the black holes in binary systems', 'Binary systems of two black holes'], 'binary')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Our aim is now to plot the characteristics of every single binary black hole system we found in the simulations, which were, counting the ones ejected from the cluster before the end of the simulation, 137 in total.\n",
+    "\n",
+    "We chose to plot the primary black hole mass ($M_1$) Vs the secondary black hole mass ($M_2$) and confront the data with the observations made by the Ligo-Virgo collaboration (these observations have quite large error bars, here not plotted). The data agree pretty well, taking into account the fact that we haven't considered the merger time of these systems.\n",
+    "\n",
+    "The green circle indicates a weird Ligo-Virgo detection. Star evolution forbids the formation of black holes of such high masses, but, if we take into account the chaotic interactions that occur in the centers of star clusters (as it was done in these simulations) such systems can actually arise. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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width=\"1000\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "binary_bhs_tot=pd.read_csv('Binary_BHs_M1M2.csv')\n",
+    "ms.Mass1_vs_Mass2(binary_bhs_tot,specialBhs=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Task 3: Black holes evolution in binary systems"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now want to show how the mass distribution of the black holes in binary system varies during the 100 Mys of the simulation.\n",
+    "\n",
+    "The idea is to collect every black hole's mass among every simulation at each time step; but the number of iterations is not constant through the different simulations.\n",
+    "In order to do that we sample at certain iterations different from a simulation to another, but corresponding to around the same time in Mys."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#data = ev.evolution('../data_2020/', 'binary', 101, '101_step2.txt')\n",
+    "data = pd.read_csv('101_step2.txt', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The procedure is pretty time consuming so the function also provides the possibility to save the result in a csv file.\n",
+    "The result consists in a Pandas dataframe in which the mass values of every black hole are stored in every row and each row is indexed with the relative time step in Mys."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The data can now be processed to obtain, for every time step, the black holes mass distribution fixing the number of bins."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masses, t_step, dist = ev.mass_distribution(data, 10,density=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"1500\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=[15,7])\n",
+    "fig.suptitle(\"Binary systems black holes' mass distribution over time\", size=16)\n",
+    "ax1 = fig.add_subplot(1, 2, 1, projection='3d')\n",
+    "ax2 = fig.add_subplot(1, 2, 2)\n",
+    "ev.evo_plotter3D(t_step, masses, dist, ax1)\n",
+    "im = ev.evo_plotter(t_step, masses, dist, ax2)\n",
+    "ax1.dist= 9\n",
+    "fig.tight_layout()\n",
+    "cbar = plt.colorbar(im)\n",
+    "cbar.set_label('Counts',rotation=270)\n",
+    "fig.subplots_adjust(top=0.88)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here is an animation showing the evolution of the mass function of the black holes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table><tr><td><img src='evo101.gif'></td></tr></table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#ani = ev.mass_animation(t_step, masses,dist,log_scale=False)\n",
+    "#ani.save('./evo101.gif',writer='imagemagick',fps=10)\n",
+    "display(HTML(\"<table><tr><td><img src='evo101.gif'></td></tr></table>\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Focusing just on binary systems consisting of two black holes:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#data = ev.evolution('../data_2020/', 'binary', 101, '101_BBHS.txt',BBHS=True)\n",
+    "data = pd.read_csv('101_BBHS.txt', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masses, t_step, dist = ev.mass_distribution(data, 10,density=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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width=\"1500\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=[15,7])\n",
+    "fig.suptitle(\"Binary black holes systems' mass distribution over time\", size=16)\n",
+    "ax1 = fig.add_subplot(1, 2, 1, projection='3d')\n",
+    "ax2 = fig.add_subplot(1, 2, 2)\n",
+    "ev.evo_plotter3D(t_step, masses, dist, ax1)\n",
+    "im = ev.evo_plotter(t_step, masses, dist, ax2)\n",
+    "ax1.dist= 9\n",
+    "fig.tight_layout()\n",
+    "cbar = plt.colorbar(im)\n",
+    "cbar.set_label('Counts',rotation=270)\n",
+    "fig.subplots_adjust(top=0.88)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table><tr><td><img src='evo101BBHS.gif'></td></tr></table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#ani = ev.mass_animation(t_step, masses,  dist,log_scale=False)\n",
+    "#ani.save('./evo101BBHS.gif',writer='imagemagick',fps=10)\n",
+    "display(HTML(\"<table><tr><td><img src='evo101BBHS.gif'></td></tr></table>\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Conclusions\n",
+    "We observe that the number of black holes changes in the evolution because of the time required for their formation and their occasional expulsion due to the dynamics of the gravitational interactions inside the clusters or their merging with other black holes.\n",
+    "The strong gravitational attraction of the black holes drives to the formation of binary systems black hole-star or black hole-black hole. \n",
+    "As it can be seen, the masses of the black holes are in a range of few solar masses to a maximum of 140 M$_{\\odot}$, and the most of them can be found in a range between 20 and 45 M$_{\\odot}$. This also reflects on the mass distributions of the black holes in binary systems and in the systems of binary black holes: stellar black holes in binary systems tend to lose their circumstellar envelope in non-conservative processes, so their final mass is approximatively the mass of their respective cores.\n",
+    "\n",
+    "\n",
+    "Our analysis is in line with the observations made by the Ligo-Virgo collaboration, even in the most extreme cases, where  the binary black holes systems would have not been possible if explained by stellar evolution only. Nbody simulations, on the contrary, can give birth to systems of very high masses.           \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Bibliography"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ Ugo N. Di Carlo, Michela Mapelli, Nicola Giacobbo, Mario Spera, Yann Bouffanais, Sara Rastello, Filippo Santoliquido, Mario Pasquato, Alessandro Ballone, Alessandro A. Trani, Stefano Torniamenti, Francesco Haardt. Binary black holes in young star clusters: the impact of metallicity, 2019, https://arxiv.org/abs/2004.09525\n",
+    "\n",
+    "+ Ugo N. Di Carlo, Nicola Giacobbo, Michela Mapelli, Mario Pasquato, Mario Spera, Long Wang, Francesco Haardt. Merging black holes in young star clusters, 2019, https://arxiv.org/abs/1901.00863\n",
+    " \n",
+    " \n",
+    " ##### image credits\n",
+    " \n",
+    " - [1] https://upload.wikimedia.org/wikipedia/commons/8/8b/New_Hubble_image_of_star_cluster_Messier_15.jpg \n",
+    " - [2] https://upload.wikimedia.org/wikipedia/commons/c/c4/MergingBlackHoles_V2.jpg\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Raw Cell Format",
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/pkg_g19/__init__.py b/pkg_g19/__init__.py
new file mode 100644
index 0000000..840d2b6
--- /dev/null
+++ b/pkg_g19/__init__.py
@@ -0,0 +1,104 @@
+#   ######   ########   #######  ##     ## ########        ##    #######  
+#  ##    ##  ##     ## ##     ## ##     ## ##     ##     ####   ##     ## 
+#  ##        ##     ## ##     ## ##     ## ##     ##       ##   ##     ## 
+#  ##   #### ########  ##     ## ##     ## ########        ##    ######## 
+#  ##    ##  ##   ##   ##     ## ##     ## ##              ##          ## 
+#  ##    ##  ##    ##  ##     ## ##     ## ##              ##   ##     ## 
+#   ######   ##     ##  #######   #######  ##            ######  #######  
+
+# ===========================================================================================================
+#      Dependancies
+# ===========================================================================================================
+
+import numpy as np
+import pandas as pd
+import os
+
+# ===========================================================================================================
+#      General function
+# ===========================================================================================================
+
+def data_importer(path_docs, name, number=None, mode='base'):
+    # ATTENZIONE è modificato, ho aggiunto la riga successiva
+    number = int(number)
+    if mode == 'base':
+        name_vec = [ ['Name', 'Mass', 'Type'],
+                     ['Name1', 'Name2', 'NameCM', 'Mass1', 'Mass2', 'Type1', 'Type2', 'TypeCM'],
+                     ['Name1', 'Name2', 'Name3', 'NameCM', 'Mass1', 'Mass2', 'Mass3', 'Type1', 'Type2', 'Type3', 'TypeCM']]
+        col_vec  = [ [0, 1, 14],
+                     [0, 1, 2, 3, 4, 32, 33, 34],
+                     [0, 1, 2, 3, 4, 5, 6, 47, 48, 49, 50]]
+    elif mode =='full':
+        name_vec = [ ['Name','M','X','Y','Z','Type'],
+                     ['Name1', 'Name2', 'NameCM','M1','M2','X','Y','Z','Semi','e','P', 'Type1', 'Type2', 'TypeCM'],
+                     ['Name1', 'Name2', 'Name3', 'NameCM', 'M1','M2','M3','X','Y','Z','Type1', 'Type2', 'Type3', 'TypeCM']]
+        col_vec  = [ [0,1,2,3,4,14],
+                     [0, 1, 2,3,4,5,6,7,18,19,20, 32, 33, 34],
+                     [0, 1, 2, 3,4,5,6,7,8,9, 47, 48, 49, 50]]
+    
+    if name == 'single':
+        file_path = path_docs + '/' + name + '.40_' + str(number)
+        data = pd.read_csv(file_path, sep='\s+', skiprows= 1, usecols=col_vec[0], header=None, names=name_vec[0])
+        return data        
+    if name == 'binary':
+        file_path = path_docs + '/' + name + '.40_' + str(number)
+        data = pd.read_csv(file_path, sep='\s+', skiprows=1, usecols=col_vec[1], header=None, names=name_vec[1])
+        return data        
+    if name == 'merger':
+        file_path = path_docs + '/' + name + '.40_' + str(number)
+        data = pd.read_csv(file_path, sep='\s+', skiprows=1, usecols=col_vec[2], header=None, names=name_vec[2])
+        return data        
+    if name == 'sev':
+        file_path = path_docs + '/' + name + '.83_' + str(number)
+        data = pd.read_csv(file_path, sep='\s+', skiprows= 1, usecols=[2,3,5], header=None, names=['Name', 'Type', 'Mass'])
+        return data    
+    if name == 'event':
+        file_path = path_docs + '/' + name + '.35'
+        data = pd.read_csv(path_docs + name, sep='\s+', skiprows= 1, usecols=[33], header=None, names=['New BH'])
+        return data 
+    if name == 'bdat':
+        file_path = path_docs + '/' + name + '.9_' + str(number)
+        data = pd.read_csv(file_path, sep='\s+', skiprows= 4, usecols=[0,1,2,3,10,11], header=None, names=['Name1', 'Name2', 'Mass1', 'Mass2', 'Type1', 'Type2'])
+        return data
+    if name == 'bwdat':
+        file_path = path_docs + '/' + name + '.19_' + str(number)
+        data = pd.read_csv(file_path, sep='\s+', skiprows= 4, usecols=[0,1,2,3,10,11], header=None, names=['Name1', 'Name2', 'Mass1', 'Mass2', 'Type1', 'Type2'])
+        return data
+
+def iterations_counter(path_docs, name):
+    
+    '''Counts the number of iterations in each simulation. '''
+    
+    os.system('ls '+path_docs+' | grep '+name+' > dummy.txt')
+    dum = open('dummy.txt')
+    content = dum.readlines()
+    dum.close()
+    os.system('rm dummy.txt')
+    
+    return len(content)    
+
+def bh_recognition(data, filetype,BBHS=False):
+    
+    '''Depending on the file, reports the black holes in the data.'''
+    if BBHS:
+        if filetype == 'binary' or 'bwdat' or 'bdat':
+            return  data[[all([a, b]) for a, b in zip(data['Type1']==14, data['Type2']==14)]] 
+    else:
+
+        if filetype == 'single' or filetype == 'sev':
+            return data[data['Type']==14]
+        if filetype == 'binary' or 'bwdat' or 'bdat':
+            return  data[[any([a, b]) for a, b in zip(data['Type1']==14, data['Type2']==14)]] 
+        if filetype == 'merger':
+            return data[[any([a, b, c]) for a, b, c in zip(data['Type1']==14, data['Type2']==14, data['Type3']==14)]]
+
+def folder_recognition(path_docs):
+    
+    '''Returns a list with the names of the folders.'''
+    command = 'ls ' + path_docs + ' | grep ' + '6' + ' | cut -d ' + '"_"' + ' -f 1 > dummy.txt'
+    os.system(command)
+    dum = open('dummy.txt')
+    content = dum.readlines()
+    dum.close()
+    os.system('rm dummy.txt')
+    return list(map(lambda s: s.strip(), content))
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diff --git a/pkg_g19/cluster.py b/pkg_g19/cluster.py
new file mode 100644
index 0000000..fe6a82e
--- /dev/null
+++ b/pkg_g19/cluster.py
@@ -0,0 +1,257 @@
+# ===========================================================================================================
+#      Dependancies
+# ===========================================================================================================
+
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+
+#from pkg import data_importer, iteration_counter, bh_recognition, folder_recognition
+from pkg_g19 import *
+
+
+# ===========================================================================================================
+#      Functions
+# ===========================================================================================================
+
+def cluster_importer(path_docs,start=1,step=1,mode='step'):
+    
+    '''Function to import an entire star cluster information at every timestep.
+    
+    RETURNS:: 3 python lists containing the single, binary and merger information at every step.
+    
+    start and step arguments: self explanatory
+    
+    
+    
+        '''
+    
+
+    #path_docs = '/data_2019/stellar_blackholes/M6001_D1.6_Z0.0002'
+    #name1 = '/single.40_'
+    name2 = 'binary'
+    name3 = 'merger'
+
+    #path_docs = '/data_2019/stellar_blackholes/M6001_D1.6_Z0.0002'
+    name1 = 'single.40_'
+
+    frames=iterations_counter(path_docs, name1)-1
+    
+    #iterations=np.arange(start,frames,step=step)
+    
+    iterations=[int(round(j)) for j in np.linspace(start,frames,step)]
+    
+    n=len(iterations)
+    #print(iterations)
+    ds=[[]]*n
+    db=[[]]*n
+    dm=[[]]*n
+    T=[it*(100/frames) for it in iterations]
+    #print(iterations)
+    
+
+    name1 = 'single'
+
+    j=0
+    for i in iterations:
+        ds[j] = data_importer(path_docs, name1, i, 'full')
+        db[j] = data_importer(path_docs, name2, i, 'full')
+        try:
+            dm[j] = data_importer(path_docs, name3, i)
+        except:
+            dm[j]=pd.DataFrame(columns=['Name1', 'Name2', 'Name3', 'NameCM', 'M1','M2','M3','X','Y','Z','Type1', 'Type2', 'Type3', 'TypeCM'])
+        j+=1
+        
+    return ds,db,dm,T
+
+def bh_finder(i,data,mode='3df'):
+    
+    '''RETURNS:: 3 or 1 dataframe/s containing just the BH information on the i-th iteration of the cluster
+    
+        MODES::
+        
+            '3df'   :: returns 3 dataframes, one for singles, binaries and mergers each
+            '1df'   :: returns 1 dataframe with info from single, binary and merger
+            'binary':: returns 1 dataframe containing just binary BH systems
+                        
+                        
+                        '''
+    ds=data[0]
+    db=data[1]
+    dm=data[2]
+    T =data[3]
+    
+    bhs=ds[i]['Type']==14
+    bhd1=db[i]['Type1']==14
+    bhd2=db[i]['Type2']==14
+    bhm1=dm[i]['Type1']==14
+    bhm2=dm[i]['Type2']==14
+    bhm3=dm[i]['Type3']==14
+    
+    if mode=='binary' :
+        js=[]
+    
+        for j in range(len(bhd1)):
+            #print(s1)
+            if (bhd1[j] and bhd2[j]) :
+                js.append(j)
+                
+        return db[i].iloc[js]
+                
+                
+                
+    elif mode=='1df':
+        bh1=ds[i][['Name','M','X','Y','Z']].loc[bhs]
+        bh1=bh1.append(db[i][['Name1','M1','X','Y','Z']].loc[bhd1].rename({'Name1':'Name','M1':'M'},axis=1))
+        bh1=bh1.append(db[i][['Name2','M2','X','Y','Z']].loc[bhd2].rename({'Name2':'Name','M2':'M'},axis=1))
+        bh1=bh1.append(dm[i][['Name1','M1','X','Y','Z']].loc[bhm1].rename({'Name1':'Name','M1':'M'},axis=1))
+        bh1=bh1.append(dm[i][['Name2','M2','X','Y','Z']].loc[bhm2].rename({'Name2':'Name','M2':'M'},axis=1))
+        bh1=bh1.append(dm[i][['Name3','M3','X','Y','Z']].loc[bhm3].rename({'Name3':'Name','M3':'M'},axis=1))
+        return bh1
+       
+                
+
+    else:
+        bh1=ds[i].loc[bhs]
+        bh2=db[i].loc[bhd1]
+        bh2=bh2.append(db[i].loc[bhd2])
+        bh3=dm[i].loc[bhm1]
+        bh3=bh3.append(dm[i].loc[bhm2])
+        bh3=bh3.append(dm[i].loc[bhm3])
+    
+        return bh1,bh2,bh3
+    
+    
+    
+
+def cluster_plotter(i,data,ax1='X',ax2='Y',lims=[-50,50,-50,50],size=[5,5],ax=None,BH_plotter=True):
+    ''' Simple function to plot the state of the star cluster at any given time.
+    Blue stars are singles, Red stars are binaries and mergers objects.
+    
+    Black '+' are singles black holes, while black  'x' are black hole in binaries and mergers.
+    
+    Red 'x' means a binary black hole  
+    
+    arguments:
+    
+    -- i:
+    time iterate that we want to plot
+    
+    -- ax1='X', ax2='Y'
+    axes that we care about
+    
+    --lims=[-50,50,-50,50]
+    limits of the plot 
+    
+    --size=[5,5]
+    equal to figsize arg in matplotlib 
+    
+    ax=None
+    axis object from matplotlib
+    
+    
+    
+    
+    
+    '''
+    
+    ds=data[0]
+    db=data[1]
+    dm=data[2]
+    T =data[3]
+    
+    if ax==None:
+        fig,ax=plt.subplots(figsize=size)
+    #lims=50
+    
+    size1=1
+    size2=150
+
+
+
+    ax.scatter(ds[i][ax1],ds[i][ax2],color='lightyellow',s=size1*ds[i]['M'],alpha=0.8,marker='.')
+    ax.scatter(db[i][ax1],db[i][ax2],color='lightyellow', s=size1*db[i]['M1'],alpha=0.8,marker='.')
+    if BH_plotter:
+        
+        bh=bh_finder(i,mode='1df',data=data)
+        bh_binary=bh_finder(i,mode='binary',data=data)
+        ax.scatter(bh[ax1],bh[ax2],color='gold',s=size2,marker='X')
+        ax.scatter(bh_binary[ax1],bh_binary[ax2],color='red',s=size2*1.5,marker='X')
+
+
+    
+    ax.set_xlabel(ax1 +' [PC]')
+    ax.set_ylabel(ax2+ ' [PC]')
+    ax.set_xlim(lims[0],lims[1])
+    ax.set_ylim(lims[2],lims[3])
+    ax.set_title('T= '+("%.2f" % T[i]) +' Mys')
+    #fig.patch.facecolor('white')
+    ax.set_facecolor([0.11,0.11,0.11])
+    return ax
+    #plt.scatter(db[i][ax1],db[i][ax2],color='red',s=0.1)
+    
+    
+def collapse_time(bbh):
+    G=6.674*10**(-11)
+    c=3*10**8
+    k=5/256
+    
+    return k*c**5*(bbh['Semi']*149*10**9)**4*(1-bbh['e']**2)**(7/2)/((1.98*10**30)**3*G**3*bbh['M1']*bbh['M2']*(bbh['M1']+bbh['M2']))
+
+def cluster_animator(ax1, ax2, ds, db, dm, T):
+    '''Animates the evolution of the star cluster:
+    - ax1, ax2 = axes to plot
+    - ds, dm, db, T = data of single, binary, merger and time to import'''
+
+    ax1='X'
+    ax2='Y'
+    lims=[-50,50,-50,50]
+    size=[5,5]
+
+    fig, ax = plt.subplots(figsize=size)
+    ax.set_xlabel(ax1 +' [PC]')
+    ax.set_ylabel(ax2 + ' [PC]')
+    ax.set_xlim(lims[0],lims[1])
+    ax.set_ylim(lims[2],lims[3])
+    ax.set_facecolor([0.11,0.11,0.11])
+
+
+#Lines (matplotlib objects) to modify in the update function
+
+    datasingle, = plt.plot([], [], 's', markersize=1, color='lightyellow', alpha=0.1)
+    databinary, = plt.plot([], [], 's', markersize=1, color='white', alpha=0.1)
+    datamerger, = plt.plot([], [], 'x', markersize=5, color='red')
+
+#First frame
+    def init():  
+        ax.set_title('T = %4.2f Mys' % T[0])
+        x = np.array(ds[0][ax1])
+        y = np.array(ds[0][ax2])
+        datasingle.set_data(x, y)
+        x = np.array(db[0][ax1])
+        y = np.array(db[0][ax2])
+        databinary.set_data(x,y)
+        x = np.array(dm[0][ax1])
+        y = np.array(dm[0][ax2])
+        datamerger.set_data(x,y)
+        return (datasingle,) + (databinary,) + (datamerger,)
+
+#Update function
+    def update(i):
+        ax.set_title('T = %4.2f Mys' %T[i])
+        x = np.array(ds[i][ax1])
+        y = np.array(ds[i][ax2])
+        datasingle.set_data(x, y)
+        x = np.array(db[i][ax1])
+        y = np.array(db[i][ax2])
+        databinary.set_data(x, y)
+        x = np.array(dm[i][ax1])
+        y = np.array(dm[i][ax2])
+        datamerger.set_data(x,y)
+
+        return (datasingle,) + (databinary,) + (datamerger,)
+
+
+    ani = animation.FuncAnimation(fig, update, init_func=init, frames=range(0,300, 10), blit=True)
+    return ani
\ No newline at end of file
diff --git a/pkg_g19/evolution.py b/pkg_g19/evolution.py
new file mode 100644
index 0000000..759d7c1
--- /dev/null
+++ b/pkg_g19/evolution.py
@@ -0,0 +1,166 @@
+# ===========================================================================================================
+#      Dependancies
+# ===========================================================================================================
+
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from mpl_toolkits import mplot3d
+import matplotlib.animation as animation
+
+#from pkg import data_importer, iteration_counter, bh_recognition, folder_recognition
+from pkg_g19 import *
+
+# ===========================================================================================================
+#      Functions
+# ===========================================================================================================
+
+
+
+def evolution(dir_path, file, step, out='',BBHS=False):
+    folders_list = folder_recognition(dir_path)
+    n_fol = len(folders_list)
+    max_iter = np.zeros(n_fol)
+    for fol in range(n_fol):
+            path = dir_path + folders_list[fol] + '_D1.6_Z0.0002'
+            max_iter[fol] = iterations_counter(path, file)
+
+    stars_data = pd.DataFrame()
+
+    grid = pd.DataFrame()
+    years = np.linspace(0,100,step) 
+    for i in range(step):
+        
+        #Abbiamo aggiunto questa linea di codice------------------
+        stars_data = pd.DataFrame()
+        #----------------------------------------------------------
+        
+        for fol,ix in zip(folders_list,max_iter):
+            # -------qua sotto
+            curr_iter=round(np.linspace(0,ix-1,step)[i])
+            #-------------------------
+            path = dir_path + fol + '_D1.6_Z0.0002'
+                
+            data = data_importer(path, file, curr_iter)
+            data = bh_recognition(data, file,BBHS=BBHS)
+          
+            stars_data = stars_data.append(data, ignore_index=True)
+
+            data_binary = stars_data
+        
+        mask = data_binary['Type1'] == 14
+        df1 = data_binary[mask]['Mass1']
+        mask = data_binary['Type2'] == 14
+        df2 = data_binary[mask]['Mass2']
+        binary_masses = pd.concat([df1, df2], ignore_index=True)
+        if len(binary_masses) > 0:
+            binary_masses.name = years[i]
+            grid = grid.append(binary_masses.T, ignore_index=False)
+        else:
+            a = pd.Series()
+            a.name = years[i]
+            grid = grid.append(a, ignore_index=False) # to add a Nan line if there's no bh
+    if out != '':
+        grid.to_csv(out)
+    return grid
+
+#def evo_plotter(data,bins,h,b):
+def evo_plotter(time, mass, grid, ax):
+    #bin_edge   = np.linspace(0, data.max().max()+data.min().min(),bins+1)
+    #bin_center = (bin_edge[:-1]+bin_edge[1:])/2
+    #n_iter = (np.shape(data.values)[0])
+    #grid = np.zeros((n_iter,bins))
+    #for i in range(n_iter):
+    #    sample = data.iloc[i].values
+    #    sample = sample[np.isfinite(sample)]
+    #    if len(sample) != 0:
+    #        grid[i], _ = np.histogram(sample, bins=bin_edge, density=True)
+    
+    #fig = plt.figure(figsize=(b,h))
+    #ax = plt.contourf(data.index.values,bin_center,grid.T,levels=200, cmap='inferno')
+    prova = ax.contourf(time,mass,grid.T,levels=200, cmap='inferno')
+    ax.set_xlabel('Time [Mys]')
+    ax.set_ylabel('Mass $[M_\odot]$')
+    plt.show()
+    return prova
+    
+#def evo_plotter3D(data,bins,h,b):
+def evo_plotter3D(time, mass, grid, ax):
+    #bin_edge   = np.linspace(0, data.max().max()+data.min().min(),bins+1)
+    #bin_center = (bin_edge[:-1]+bin_edge[1:])/2
+    #n_iter = (np.shape(data.values)[0])
+    #grid = np.zeros((n_iter,bins))
+    #for i in range(n_iter):
+    #    sample = data.iloc[i].values
+    #    sample = sample[np.isfinite(sample)]
+    #    if len(sample) != 0:
+    #        grid[i], _ = np.histogram(sample, bins=bin_edge, density=True)
+            
+    #fig = plt.figure(figsize=(b,h))    
+    #ax = plt.axes(projection='3d')
+    #ax.axes(projection='3d')
+    #X, Y = np.meshgrid(bin_center,data.index.values)
+    X, Y = np.meshgrid(mass,time)
+    ax.contour3D(X,Y,grid, 100, cmap='inferno', alpha=0.8) 
+    ax.view_init(20,60)
+    ax.set_xlabel('Mass $[M_\odot]$')
+    ax.set_ylabel('Time [Mys]')
+    ax.set_zlabel('Counts',rotation=270)
+    plt.show()
+    
+
+def mass_distribution(data, bins,density=False):
+    '''Function to calculate black holes distribution at every time step:
+        - data = black holes masses at every time step
+        - bins = number on bars in the histogram'''
+    bin_edge   = np.linspace(0, data.max().max()+data.min().min(),bins+1)
+    bin_center = (bin_edge[:-1]+bin_edge[1:])/2
+    n_iter = (np.shape(data.values)[0])
+    grid = np.zeros((n_iter,bins))
+    for i in range(n_iter):
+        sample = data.iloc[i].values
+        sample = sample[np.isfinite(sample)]
+        if len(sample) != 0:
+            grid[i], _ = np.histogram(sample, bins=bin_edge, density=density)
+    times= data.index.values
+    return bin_center, times, grid
+
+def mass_animation(times, bin_center,  grid,log_scale=True):
+    '''Animates the black holes distribution over time:
+        - times = time steps
+        - bin_center = central values of the bars in the histogram
+        - grid = black holes distribution over time'''
+    
+    fig, ax = plt.subplots()
+    
+    width=bin_center[1]-bin_center[0]
+    y_max = np.amax(grid)*1.1
+    
+    
+    def init_hist():
+    #The first frame conditions
+        init_plot=plt.bar(bin_center, height=grid[0,:],width=width, color ='navy')
+        plt.title('t = %4.f' % 0)
+        plt.xlabel('(Binary) BH mass[M*]')
+        plt.ylabel('Number of Black holes')
+        if log_scale:
+            ax.set_yscale('log')
+        x1,x2,y1,y2 = plt.axis()
+        plt.axis((x1,x2,0.00001,y_max))
+        return init_plot
+
+    def update_hist(frame):
+        plt.cla()
+        plot=plt.bar(bin_center, height=grid[frame,:], width=width, color ='navy')
+        plt.title('t = %4.f [Myr]'% times[frame])
+        plt.xlabel('(Binary) BH mass[$M_{\odot}$]')
+        plt.ylabel('Number of Black holes')
+        if log_scale:
+            ax.set_yscale('log')
+        x1,x2,y1,y2 = plt.axis()
+        plt.axis((x1,x2,0.00001,y_max))
+        return plot
+
+    anim = animation.FuncAnimation(fig, update_hist, frames=range(0,times.size-1), init_func=init_hist, blit=True)
+
+    return anim
diff --git a/pkg_g19/mass.py b/pkg_g19/mass.py
new file mode 100644
index 0000000..0cb793a
--- /dev/null
+++ b/pkg_g19/mass.py
@@ -0,0 +1,140 @@
+# ===========================================================================================================
+#      Dependancies
+# ===========================================================================================================
+
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+
+#from pkg import data_importer, iteration_counter, bh_recognition, folder_recognition
+from pkg_g19 import *
+
+
+# ===========================================================================================================
+#      Functions
+# ===========================================================================================================
+
+def stars_survey(path_docs, file, N = 2, final_masses = False, black_holes=False):
+    
+    """path_docs = folder with all the data
+    file = file selected
+    N = iteration
+    final_iteration = takes the last iteration
+    black_holes = only black holes survey"""
+    
+    folders_list = folder_recognition(path_docs)
+    stars_data = pd.DataFrame()
+    
+    for fol in folders_list:
+        path = path_docs + '/' + fol + '_D1.6_Z0.0002'
+        
+        if final_masses == True:
+            N = iterations_counter(path, file)
+        
+        data = data_importer(path, file, N-1)
+        
+        if black_holes == True:
+            data = bh_recognition(data, file)
+        
+        stars_data = stars_data.append(data, ignore_index=True)
+
+    return stars_data
+
+def mass_wrapper(data_single, data_binary, data_merger):
+    '''Some further manipulation of the data, with the aim of determining the mass distribution.
+    Returns:
+    - an one-column dataframe with the masses of the single black holes;
+    - an one-column dataframe with the masses of the black holes in binary systems;
+    - an one-column dataframe with the masses of the black holes in merger systems;
+    - an one-column dataframe with all the masses of the black holes.'''
+    # Filtering the black holes inside the binary dataframe
+    mask = data_binary['Type1'] == 14
+    df1 = data_binary[mask]['Mass1']
+    mask = data_binary['Type2'] == 14
+    df2 = data_binary[mask]['Mass2']
+    
+    binary_masses = pd.concat([df1, df2], ignore_index=True)
+
+    
+    #Same but with mergers
+
+    mask = data_merger['Type1'] == 14
+    df1 = data_merger[mask]['Mass1']
+    mask = data_merger['Type2'] == 14
+    df2 = data_merger[mask]['Mass2']
+    mask = data_merger['Type3'] == 14
+    df3 = data_merger[mask]['Mass3']
+
+    merger_masses = pd.concat([df1, df2, df3], ignore_index=True)
+
+    # All masses dataframe
+    #all_masses = pd.concat([data_single['Mass'], binary_masses, merger_masses], ignore_index = True)
+    return data_single['Mass'], binary_masses, merger_masses
+    
+def histplotter(histlist, histlabel, mode):
+    plt.figure(figsize=(7,7))
+
+    if mode == 'all':
+        plt.hist(histlist, bins = 10, label = histlabel, stacked=True)
+        plt.title('Mass distribution of the black holes at T = 100 Mys')
+    if mode == 'binary':
+        plt.hist(histlist, bins = 10, label = histlabel)
+        plt.title('Focus on binary systems mass distribution at T = 100 Mys')
+        
+    plt.xlabel('Mass $[M_\odot]$')
+    plt.ylabel('Counts')
+    plt.legend()
+
+def Mass1_vs_Mass2(binary_bhs_tot,specialBhs):
+    
+    
+    LigoVirgo = {'M1':  [35, 50.2,14.2,31.9, 12,30.5,23.3,35.2,35.5,39.6,85,24.5,29.7,33.4,45.4,40.6,39.5 ],
+             'M2':  [30, 34  ,7.5 ,19.4, 7 ,25.3,13.6,23.2,26.8,29.4,66,18.3,8.4 ,23.4,30.9,31.4,31.0],
+        }
+
+    df = pd.DataFrame (LigoVirgo, columns = ['m1','m2'])
+
+    expelled     = binary_bhs_tot[binary_bhs_tot['Ejected']==True]
+    not_expelled = binary_bhs_tot[binary_bhs_tot['Ejected']==False]
+
+    ne=len(expelled)
+    M1s_expelled=np.zeros(ne)
+    M2s_expelled=np.zeros(ne)
+
+    nn=len(not_expelled)
+    M1s_not=np.zeros(nn)
+    M2s_not=np.zeros(nn)
+
+    for i in range(ne):
+        m1=expelled['M1'].iloc[i]
+        m2=expelled['M2'].iloc[i]
+        if m1>m2: M1s_expelled[i],M2s_expelled[i]=m1,m2
+        else :    M1s_expelled[i],M2s_expelled[i]=m2,m1
+
+
+    for i in range(nn):
+        m1=not_expelled['M1'].iloc[i]
+        m2=not_expelled['M2'].iloc[i]
+        if m1>m2: M1s_not[i],M2s_not[i]=m1,m2
+        else :    M1s_not[i],M2s_not[i]=m2,m1
+
+    fig, ax= plt.subplots(figsize=[10,10])
+
+    ax.grid()
+
+    ax.plot([0,140],[0,140],color='red',linestyle='-.',linewidth=0.3)
+
+    ax.scatter(M1s_not,M2s_not,c='black',s=10,label='Simulated BBHs still in SCs')
+    ax.scatter(M1s_expelled,M2s_expelled,c='blue',s=10,label='Simulated BBHs expelled from SCs')
+    ax.scatter(LigoVirgo['M1'],LigoVirgo['M2'],s=100,c='red',marker='+',label='Ligo and Virgo detections')
+    ax.plot(LigoVirgo['M1'][10],LigoVirgo['M2'][10], marker='o',c='green', fillstyle='none',markersize=40)
+    plt.title('Primary mass VS secondary mass  at T= 100 Mys ')
+    plt.xlim(0,140)
+    plt.ylim(0,140)
+    plt.xlabel('M1 [M $\odot$]')
+    plt.ylabel('M2 [M $\odot$]')
+    plt.legend()
+    ax.set_facecolor('lightyellow')
+
+    plt.show()