Renaming selected columns in pandas [duplicate]

问题

This question already has answers here:

Changing multiple column names but not all of them - Pandas Python (4 answers)

Closed 1 year ago.

I am trying to rename selected columns (say the two las columns) in my data frame using the iloc and df.columns functions but it does not seem to work for me and I can't figure out why. Here is a toy example of what I want to achieve:

import pandas as pd

d = {'one': list(range(5)),
     'two': list(range(5)),
     'three': list(range(5)),
     'four': list(range(5)),
     'five': ['a', 'b', 'c', 'd', 'e'],
     'six': ['a', 'b', 'c', 'd', 'e']
    }
df = pd.DataFrame(d)

df.iloc[:,-2:].columns = ['letter_1','letter_2']

df.columns

but I keep getting the original columns' names:

Index(['one', 'two', 'three', 'four', 'five', 'six'], dtype='object')

What am I missing?

回答1:

just use df.rename:

import pandas as pd

d = {'one': list(range(5)),
     'two': list(range(5)),
     'three': list(range(5)),
     'four': list(range(5)),
     'five': ['a', 'b', 'c', 'd', 'e'],
     'six': ['a', 'b', 'c', 'd', 'e']
     }

new_names = ['letter_1', 'letter_2']
df = pd.DataFrame(d).rename(index=str, columns=dict(zip(list(d.keys())[-len(new_names):], new_names)))

print(df.columns)

Output:

Index(['letter_1', 'four', 'one', 'letter_2', 'three', 'two'], dtype='object')

来源：https://stackoverflow.com/questions/56790037/renaming-selected-columns-in-pandas