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Checking if a certain value in a DataFrame is missing (NaN) in Pandas

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Handling Missing Values
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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To check if a certain value in a DataFrame is NaN, use the methods isna() and at.

Example

Consider the following DataFrame:

df = pd.DataFrame({"A":[2,3],"B":[4,None]}, index=["a","b"])
df
A B
a 2 4.0
b 3 NaN

To check if the entry at [bB] is missing:

pd.isna(df.at["b","B"])
True
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Published by Isshin Inada
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