updating only decimal with trailing zero

How can we update only the decimal values of the column with trailing zeros if there are only one digit after decimal.

Example dataframe:

df = pd.DataFrame(data=[[0.3, 0.3], [0.5, 1], [0.400, 0.4], [0.2, 5],[1.2, 1.55]],
    columns=['credit', 'min_credit'])

Executing the below code changes the int as well

df[min_required_credit] = df[min_credit].map('{:.2f}'.format)

Expected result:

>Solution :

You can post-process with a simple regex and str.replace:

df['min_credit'].map('{:.2f}'.format).str.replace(r'\.0+$', '', regex=True)

output:

0    0.30
1       1
2    0.40
3       5
4    1.55
Name: min_credit, dtype: object

With assignment:

df['min_required_credit'] = (df['min_credit']
                             .map('{:.2f}'.format)
                             .str.replace(r'\.0+$', '', regex=True)
                            )

output:

   credit  min_credit min_required_credit
0     0.3        0.30                0.30
1     0.5        1.00                   1
2     0.4        0.40                0.40
3     0.2        5.00                   5
4     1.2        1.55                1.55

regex:

\.    # a literal dot
0+    # one or more 0
$     # the end of line