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Replacing missing values with constants in Pandas DataFrame

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Handling Missing Values
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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To replace missing values with a constant in Pandas, use the fillna(~) method.

For instance, consider the following DataFrame with a missing value:

df = pd.DataFrame({"A":[2,pd.np.nan,pd.np.nan]})
df
A
0 2.0
1 NaN
2 NaN

To replace all NaN in the DataFrame with the constant 3:

df.fillna(3)
A
0 2.0
1 3.0

Here, a new DataFrame is returned and the original df is kept intact. To directly modify df without creating a new one, set inplace=True.

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Published by Isshin Inada
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