Convert dataframe from str back to datafarme

[Creepy]

Hi,

Am looking for help where I converted a dataframe in order for replace function to work?
Now am looking for way to convert it back to datafame ( post the replace) for further processing.

df = str(df)
    df = df.replace('old_value','new_value')

Without converting it to str .replace doesn't work on my dataframe.

[snippsat]

Am looking for help where I converted a dataframe in order for replace function to work?

No,should not need to do that Pandas has of course a replace method.
Post a sample of the DataFrame and what you want to replace.
Example.

import pandas as pd
from io import StringIO

data = StringIO('''\
CarTypes Specialty
BMV H
Volvo-kkk I
Honda J
Kia-789 K
Fiat-55 L''')

df = pd.read_csv(data, sep=' ')

Test.

>>> df
    CarTypes Specialty
0        BMV         H
1  Volvo-kkk         I
2      Honda         J
3    Kia-789         K
4    Fiat-55         L

>>> df['CarTypes'] = df['CarTypes'].replace(['Volvo-kkk'], 'Volvo')
>>> df
  CarTypes Specialty
0      BMV         H
1    Volvo         I
2    Honda         J
3  Kia-789         K
4  Fiat-55         L

>>> # Using regex
>>> df = df.replace(to_replace ='-\d.*', value='', regex=True)
>>> df
  CarTypes Specialty
0      BMV         H
1    Volvo         I
2    Honda         J
3      Kia         K
4     Fiat         L