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Pandas DataFrame | notna method

Pandas
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Documentation
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DataFrame
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Data Indexing and Masks
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas DataFrame.notna(~) method returns a boolean mask where True is set for non-missing values and False for NaNs.

Parameters

The method does not take any parameters.

Return value

A boolean mask where:

  • True represents non-NaN values

  • False represents NaNs.

Examples

Consider the following DataFrame:

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 non-NaN values:

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

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

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