replace column values pandas
df['column'] = df['column'].str.replace(',','-')
df
replace column values pandas
df['column'] = df['column'].str.replace(',','-')
df
replacing values in pandas dataframe
df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')
replace values of pandas column
df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'
pandas dataframe replace inf
df.replace([np.inf, -np.inf], np.nan)
str replace pandas
>>> pd.Series(['foo', 'fuz', np.nan]).str.replace('f.', 'ba', regex=True)
0 bao
1 baz
2 NaN
dtype: object
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