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Pandas DataFrame | isna method

Pandas
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DataFrame
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Data Indexing and Masks
schedule Jul 1, 2022
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Pandas DataFrame.isna(~) method returns a boolean mask where True is set for missing values (NaN) and False for non-missing values.

NOTE

This method is equivalent to DataFrame.isnull().

Parameters

The method does not take any parameters.

Return value

A boolean mask where True is set for missing values (NaN) with False for non-missing values.

Examples

Consider the following DataFrame:

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

To check for missing values:

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

Note that this is useful, for instance, if you want to know how many missing values there are in your DataFrame:

df.isna().values.sum()
2
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Published by Isshin Inada
Edited by 0 others
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