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

2 votes136 views1 answer
How to chang your facebook name
Python
0 vote125 views1 answer
Python print every row of dataframe
Python
0 vote141 views1 answer
Does np.random.randint have a seed
Python
33 votes150 views5 answers
Append to list at index python
Python
0 vote154 views1 answer
Colorbar min max matplotlib
Python
2 votes138 views1 answer
Python divide every element in a list by a number
Python
1 vote156 views1 answer
Save video cv2
Python
23 votes139 views5 answers
Pandas select rows by multiple conditions
Python
4 votes154 views2 answers
Make binary tree in python
Python
0 vote144 views1 answer
Numpy combine two arrays selecting min
Python