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

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