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Replacing infinities with another value in Pandas DataFrame
schedule May 20, 2023
Last updated local_offer
Tags Python●Pandas
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To replace infinities (np.inf) with another value in a Pandas DataFrame, use the replace(~) method.
As an example, consider the following DataFrame with two infinities:
import numpy as npdf = pd.DataFrame({"A":[np.inf,4],"B":[5,np.inf]})df
A B0 inf 5.01 4.0 inf
To replace all infinities with a missing value:
df.replace(np.inf, np.nan)
A B0 NaN 5.01 4.0 NaN
Published by Isshin Inada
Edited by 0 others
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