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Filtering column values using boolean masks in Pandas DataFrame

schedule Mar 5, 2023
Last updated
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Python●Pandas
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To filter column values using boolean masks, use the Series' loc property:

s = pd.Series([3,4,5])
mask = [True, False, True]
s.loc[mask]
0 3
2 5
dtype: int64

Note that the filtered Series is a new Series, meaning modifying it would not affect the original and vice versa.

Related

Pandas DataFrame | loc property
Pandas DataFrame.loc is used to access and update values of the DataFrame using row and column labels.
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Published by Isshin Inada
Edited by 0 others
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