find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')
find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')
pandas replace string with another string
df['prod_type'] = df['prod_type'].replace({'respon':'responsive', 'r':'responsive'})
pandas replace substring in column names
df.columns = df.columns.astype(str).str.replace("[()]", "_")
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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