how to ignore index comparison for pandas assert frame equal
Index is part of data frame , if the index are different , we should say the dataframes are different , even the value of dfs are same , so , if you want to check the value , using array_equal from numpy
d1 = pd.DataFrame([[1,2], [10, 20]], index=[0,2])
d2 = pd.DataFrame([[1, 2], [10, 20]], index=[0, 1])
np.array_equal(d1.values,d2.values)
Out[759]: True
For more info about assert_frame_equal in git
If you really don't care about the index being equal, you can drop the index as follows:
assert_frame_equal(d1.reset_index(drop=True), d2.reset_index(drop=True))