Resolved: convert pandas data frame column values into comma separated strings

    Column1                      Column2

'['jjhjh', 'adads','adsd']',    'dwdwdqw'
'['adads','adsd']',             'dwdwdqw'
'['jjhjh', 'adads','adsd']',    'dwdwdqw'
'['adads','adsd']',             'dwdwdqw'
'['adads','adsd']',             'dwdwdqw'

   Column1                   Column2

'jjhjh', 'adads','adsd',    'dwdwdqw'
'adads','adsd',             'dwdwdqw'
'jjhjh', 'adads','adsd',    'dwdwdqw'
'adads','adsd',             'dwdwdqw'
'adads','adsd',             'dwdwdqw'

def string_convert(column_name):
  lista=[]
  for i in column_name:
    i=i.strip("[]")
    i=eval(i)
    lista.append(i)
  for m in lista:
    if m == tuple:
      column_name = m[0] + ',' + m[1]
    else:
      column_name = m
  return df['other']

import pandas as pd

df = pd.DataFrame(columns=['Column1','Column2'])
df['Column1'] = ['\'[\'jjhjh\', \'adads\',\'adsd\']\'','\'[\'jjhjh\', \'adads\',\'adsd\']\'','\'[\'jjhjh\', \'adads\',\'adsd\']\'']
df['Column2'] = ['dwdwdqw','dwdwdqw','dwdwdqw']

print('After Changes:\n\n',df)

for i, col_1 in df['Column1'].items():
    a = eval(col_1[1:-1])
    separate_comma = ",". join(a)
    df['Column1'][i] = separate_comma

print('\n\nBefore Changes:\n\n',df)

After Changes:

                        Column1  Column2
0  '['jjhjh', 'adads','adsd']'  dwdwdqw
1  '['jjhjh', 'adads','adsd']'  dwdwdqw
2  '['jjhjh', 'adads','adsd']'  dwdwdqw


Before Changes:

             Column1  Column2
0  jjhjh,adads,adsd  dwdwdqw
1  jjhjh,adads,adsd  dwdwdqw
2  jjhjh,adads,adsd  dwdwdqw