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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
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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服务器之家。
原文链接:https://blog.csdn.net/SecondLieutenant/article/details/79216356