Search and replace dots and commas in pandas dataframe

Question

This is my DataFrame:

d = {\'col1\': [\'sku 1.1\', \'sku 1.2\', \'sku 1.3\'], \'col2\': [\'9.876.543,21\', 654, \'321,01\']}
df = pd.DataFrame(data=d)
df

           


        

Answer 1

The best is use if possible parameters in read_csv:

df = pd.read_csv(file, thousands='.', decimal=',')

If not possible, then replace should help:

df['col2'] = (df['col2'].replace('\.','', regex=True)
                        .replace(',','.', regex=True)
                        .astype(float))