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API: add ignore_index keyword to dropna() and other similar functions #31725

Closed
Tracked by #6
ghost opened this issue Feb 5, 2020 · 0 comments · Fixed by #51009
Closed
Tracked by #6

API: add ignore_index keyword to dropna() and other similar functions #31725

ghost opened this issue Feb 5, 2020 · 0 comments · Fixed by #51009
Labels
Enhancement Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

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@ghost
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ghost commented Feb 5, 2020

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  <NA>
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
@Dr-Irv Dr-Irv added API Design Enhancement NA - MaskedArrays Related to pd.NA and nullable extension arrays labels Sep 9, 2020
@phofl phofl added Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate and removed NA - MaskedArrays Related to pd.NA and nullable extension arrays labels Jan 18, 2023
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Labels
Enhancement Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
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3 participants