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Mapping NaN values to False and non-NaN values to True in Pandas DataFrame

schedule Aug 12, 2023
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Solution

To map NaN values to False and non-NaN values to True in Pandas DataFrame, use the notnull() method:

df.notnull()

Example

Consider the following DataFrame:

df = pd.DataFrame({"A":[3,None],"B":[5,6]})
df
A B
0 3.0 5
1 NaN 6

To map NaN values to False and non-NaN values to True:

df.notnull()
A B
0 True True
1 False True
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Published by Isshin Inada
Edited by 0 others
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