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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 |
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