find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')
find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')
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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