Answers for "replace , for . pandas"

3

pandas dataframe replace inf

df.replace([np.inf, -np.inf], np.nan)
Posted by: Guest on June-02-2020
1

str replace pandas

>>> pd.Series(['foo', 'fuz', np.nan]).str.replace('f.', 'ba', regex=True)
0    bao
1    baz
2    NaN
dtype: object
Posted by: Guest on September-07-2020

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