Pandas rename multiple columns

for j in range(len(df.columns)):
    old = df.columns[j]
    new = new_columns[j]
    df = df.rename(columns = {old:new})

# df is a pandas DataFrame

for col_name in df.columns:
  # you can specify conditions if you need 
  # to change the name of some column only
  df = df.rename(columns = {col_name:new_col_name}

[df.rename(columns={df.columns[j]: COLUMNS[j]}, inplace=True) for j in range(df.shape[1])]

df['column name'] = df['column name'].replace(['1st old value','2nd old value',...],'new value')

Source: datatofish.com

Similar codes

0 vote158 views1 answer
Python extract mails from string
Python
1 vote219 views1 answer
Flask cors policy no 'access-control-allow-origin'
Python
16 votes212 views3 answers
Python empty text file
Python
0 vote214 views2 answers
Convert c to phyton
Python
6 votes253 views2 answers
Run python version from terminal
Python
2 votes212 views1 answer
Ski learn decision tree
Python
0 vote243 views1 answer
Django change settings at runtime
Python Django
0 vote168 views1 answer
If key down break loop python
Python
0 vote244 views1 answer
Django check user admin
Python Django
0 vote212 views1 answer
Replace string using regex
Python