BUG: pd.testing.assert_frame_equal(..., check_exact=True) raises assertion error if any columns are not numeric · Issue #35446 · pandas-dev/pandas (original) (raw)

I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
(optional) I have confirmed this bug exists on the master branch of pandas.

Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.

Code Sample, a copy-pastable example

import pandas as pd a = pd.DataFrame({"a": list("bc"), "b": [1, 2]}) pd.testing.assert_frame_equal(a, a.copy(), check_exact=True)

...: a = pd.DataFrame({"a": list("bc"), "b": [1, 2]}) ...: pd.testing.assert_frame_equal(a, a.copy(), check_exact=True)

AssertionError Traceback (most recent call last) in 1 import pandas as pd 2 a = pd.DataFrame({"a": list("bc"), "b": [1, 2]}) ----> 3 pd.testing.assert_frame_equal(a, a.copy(), check_exact=True)

[... skipping hidden 2 frame]

AssertionError: check_exact may only be used with numeric Series

Problem description

Previously, the example above would not have thrown an error. It makes it a less useful function if I have to start subdividing dataframes by types just to check that they are equal. Presumably check_exact should either have no effect if called on a non-numeric Series or assert_frame_equal should not pass check_exact=True if the series to be compared isn't numeric.

It looks like this was introduced recently, in 08c6597

Expected Output

I expected it to work like it did previously, and not throw an error. Here's an example of test failures this is causing.

Output of `pd.show_versions()`