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Difference between DataFrame.isna() and DataFrame.isnull()
schedule Aug 12, 2023
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Tags Pandas●Python
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There is absolutely no difference - the source code reveals that their implementations are exactly the same. Both are used to check for missing values (NaN).
Examples
Consider the following DataFrame with some NaN:
import numpy as npdf = pd.DataFrame({"A": [np.NaN,2], "B": [3,np.NaN]})df
A B0 NaN 3.01 2.0 NaN
Here's the isna() method:
df.isna()
A B0 True False1 False True
And here's the isnull() method:
df.isnull()
A B0 True False1 False True
Absolutely no difference.
Published by Isshin Inada
Edited by 0 others
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