API: add ignore_index keyword to dropna() and other similar functions · Issue #31725 · pandas-dev/pandas (original) (raw)

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Description

Code Sample

Before

df = pd.DataFrame({'A': [0, pd.NA, 1]}) df.dropna().reset_index(drop=True)

After

df = pd.DataFrame({'A': [0, pd.NA, 1]}) df.dropna(ignore_index=True)

Problem description

I have noticed a lot of dataframe reshaping functions acquiring the ignore_index keyword. (e.g. #30114). I think df.dropna() is a good candidate for this keyword, as are any other functions which change the index from being a consecutive sequence of integers

Expected Output

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({'A': [0, pd.NA, 1]})

In [3]: df Out[3]: A 0 0 1 2 1

In [4]: df.dropna().reset_index(drop=True) Out[4]: A 0 0 1 1

In [5]: df.dropna(ignore_index=True) Out[5]: A 0 0 1 1