[BUG] `test_fill_missing_timestamps` test case only failed `windows-latest, 3.9, ci/envs/latest.yaml`

[Zeroto521]

Brief Description

test_fill_missing_timestamps this test case only failed on windows-latest, 3.9, ci/envs/latest.yaml.
All other test cases were pass, even windows-latest, 3.10, ci/envs/latest.yaml and windows-latest, 3.8, ci/envs/latest.yaml were passed.

    def test_fill_missing_timestamps(timeseries_dataframe):
        """Test that filling missing timestamps works as expected."""
        # Remove random row from the data frame
        random_number = randint(1, len(timeseries_dataframe))
        df1 = timeseries_dataframe.drop(timeseries_dataframe.index[random_number])
    
        # Fill missing timestamps
        result = fill_missing_timestamps(df1, frequency="1H")
    
        # Testing if the missing timestamp has been filled
>       assert len(result) == len(timeseries_dataframe)

System Information

• OS: windows-latest
• python: 3.9
• dependences: ci/envs/latest.yaml

Error Messages

see https://github.com/pyjanitor-devs/pyjanitor/actions/runs/3353734947/jobs/5556766230#step:5:1821

________________________ test_fill_missing_timestamps _________________________
[gw1] win32 -- Python 3.10.6 C:\Miniconda3\envs\test\python.exe

timeseries_dataframe =                        v1
2019-01-01 00:00:00   329
2019-01-01 01:00:00    51
2019-01-01 02:00:00  1950
2019-01-01 03:...1 12:00:00   130
2019-02-11 13:00:00   468
2019-02-11 14:00:00   220
2019-02-11 15:00:00    72

[1000 rows x 1 columns]

    @pytest.mark.timeseries
    def test_fill_missing_timestamps(timeseries_dataframe):
        """Test that filling missing timestamps works as expected."""
        # Remove random row from the data frame
        random_number = randint(1, len(timeseries_dataframe))
        df1 = timeseries_dataframe.drop(timeseries_dataframe.index[random_number])
    
        # Fill missing timestamps
        result = fill_missing_timestamps(df1, frequency="1H")
    
        # Testing if the missing timestamp has been filled
>       assert len(result) == len(timeseries_dataframe)
E       assert 999 == 1000
E        +  where 999 = len(                       v1\n2019-01-01 00:00:00   329\n2019-01-01 01:00:00    51\n2019-01-01 02:00:00  1950\n2019-01-01 03:00:00  1588\n2019-01-01 04:00:00   249\n...                   ...\n2019-02-11 10:00:00   427\n2019-02-11 11:00:00   769\n2019-02-11 12:00:00   130\n2019-02-11 13:00:00   468\n2019-02-11 14:00:00   220\n\n[999 rows x 1 columns])
E        +  and   1000 = len(                       v1\n2019-01-01 00:00:00   329\n2019-01-01 01:00:00    51\n2019-01-01 02:00:00  1950\n2019-01-01 03:00:00  1588\n2019-01-01 04:00:00   249\n...                   ...\n2019-02-11 11:00:00   769\n2019-02-11 12:00:00   130\n2019-02-11 13:00:00   468\n2019-02-11 14:00:00   220\n2019-02-11 15:00:00    72\n\n[1000 rows x 1 columns])

tests\timeseries\test_fill_missing_timestamps.py:32: AssertionError