Unify file (csv) read-in

[biblicabeebli]

We have several locations where we call pd.read_csv

locations throughout codebase at this time:

src/forest/jasmine/traj2stats.py:1859:          df = pd.read_csv(file_path_array[i])
src/forest/oak/base.py:645:                     data = pd.concat([data, pd.read_csv(file_path)], axis=0)  # read data
src/forest/poplar/legacy/common_funcs.py:175:   identifiers = pd.read_csv(pathjoin(base_path, "identifiers", id_files[0]), sep=",")
src/forest/poplar/legacy/common_funcs.py:222:   [pd.read_csv(pathjoin(datastream_path, the_csv)) for the_csv in files_in_range],
src/forest/sycamore/common.py:42:               return pd.read_csv(filepath)

tests/conftest.py:67:    data = pd.read_csv(pathjoin(TEST_DATA_DIR, "test_data_bout.csv"))

tutorials/forest_usage.ipynb:557:    "            temp_df = pd.read_csv(file_dir)\n",
tutorials/forest_usage.ipynb:629:    "            temp_df = pd.read_csv(file_dir)\n",
tutorials/forest_usage.ipynb:690:    "response_data = pd.read_csv(path_resp)\n"
tutorials/helper_functions.py:87:    temp_df = pd.read_csv(file_dir)

If we can unify all read-in code it can then be well factored, and we can provide guarantees, and over in Mano we well know exactly what normal use of forest expects and offer features