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TODO

In no particular order:

  • Implement parallel evaluation when modules="mpmath" or modules="sympy". Motivational example.

  • plot3d_implicit with matplotlib: possible by adding some dependency: PyMCubes or scikit-image.

  • plot_implicit: decouple And expressions and plot them with contours following a strategy similar to sage.

  • 3D vector fields: discretize the volume with two polar parameters, or two cylindrical parameters.

  • Control system plotting for Plotly.

  • implement parametric-widgets support for xlim, ylim, zlim and xlabel, ylabel, zlabel.

  • Create a way to apply rotation/translation/scaling transformation to 3D entities (obviously, with interactive plotting in mind).

  • Custom legend position with keyword argument.

  • Apply pi tick format to axis labels.

  • Wireframe lines for iso-modulus, iso-phase on analytic_landscape.

  • Asymptotes on 3D plots: probably requires to break mesh connectivity.