BUG: dataframe index not being reset if sort_values called with ignore_index=True · Issue #52553 · pandas-dev/pandas (original) (raw)

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Reproducible Example

import pandas as pd

df = pd.DataFrame({'A': [10, 20, 30, 40], 'B': [1, 5, 1, 5]}) df = df[df['B'] == 5] df = df.sort_values(by='A', ignore_index=True)

df_test = pd.DataFrame({'A': [20, 40], 'B': [5, 5]}) pd.testing.assert_frame_equal(df_test, df)

DataFrame.index values are different (100.0 %)

[left]: RangeIndex(start=0, stop=2, step=1)

[right]: Index([1, 3], dtype='int64')

At positional index 0, first diff: 0 != 1

Issue Description

ignore_index used to reset the index of sorted dataframe, but since pandas>=2.0.0 index remains unchanged

Expected Behavior

reset dataframe index if sort_values is called with ignore_index=True

Installed Versions

INSTALLED VERSIONS

commit : 478d340
python : 3.11.3.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 2.0.0
numpy : 1.24.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.6.1
pip : 23.0.1
tzdata : 2023.3