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Difference between DataFrame.isna() and DataFrame.isnull()

Programming
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Python
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Pandas
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Common questions
schedule Mar 10, 2022
Last updated
local_offer PandasPython
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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 np
df = pd.DataFrame({"A": [np.NaN,2], "B": [3,np.NaN]})
df
A B
0 NaN 3.0
1 2.0 NaN

Here's the isna() method:

df.isna()
A B
0 True False
1 False True

And here's the isnull() method:

df.isnull()
A B
0 True False
1 False True

Absolutely no difference.

robocat
Published by Isshin Inada
Edited by 0 others
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