如下所示：
import numpy as np
from pandas import Series, DataFrame
###重命名轴索引
data = DataFrame(np.arange(12).reshape((3, 4)),
index=['Ohio', 'Colorado', 'New York'],
columns=['one', 'two', 'three', 'four'])
print( data.index.map(str.upper) ) #['OHIO' 'COLORADO' 'NEW YORK']
data.index = data.index.map(str.upper)
print( data )
'''
one two three four
OHIO 0 1 2 3
COLORADO 4 5 6 7
NEW YORK 8 9 10 11
'''
data_2 = data.rename(index=str.title, columns=str.upper)
print( data_2 )
'''
ONE TWO THREE FOUR
Ohio 0 1 2 3
Colorado 4 5 6 7
New York 8 9 10 11
'''
data_3 = data.rename(index={'OHIO': 'INDIANA'},
columns={'three': 'peekaboo'})
print( data_3 )
'''
one two peekaboo four
INDIANA 0 1 2 3
COLORADO 4 5 6 7
NEW YORK 8 9 10 11
'''
# 总是返回DataFrame的引用
_ = data.rename(index={'OHIO': 'INDIANA'}, inplace=True)
print( _ ) # None
以上这篇python 重命名轴索引的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。