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pandas之重排分級資料到整數索引

# coding: utf-8

import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['F:\\c++\\callGBDT', 'F:/c++/callGBDT'])
get_ipython().magic(u'save d:/log.txt')
get_ipython().magic(u'save d:/log.txt%')
get_ipython().magic(u'save d:\\\\log.txt%')
get_ipython().magic(u'save -r d:\\\\log.txt%'
) import (/) get_ipython().magic(u'save :d:/log.txt') get_ipython().magic(u'save d:/log.txt') get_ipython().magic(u'save -r d:/log.txt') get_ipython().magic(u'save') get_ipython().magic(u'save log.txt') hh from pandas import * get_ipython().magic(u'save log.txt') get_ipython().magic(u'cls ') get_ipython().magic(u'save d:/log.txt'
) get_ipython().magic(u'save d:/log.txt 1:') get_ipython().magic(u'save d:/log.txt 1:1000') get_ipython().magic(u'cls') get_ipython().magic(u'cls ') frame=DataFrame(np.arange(12).reshape((4,3)),index=['a','a','b','b'],[1,2,1,2],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']]) frame=DataFrame(np.arange(12
).reshape((4,3)),index=['a','a','b','b'],[1,2,1,2],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']]) import numpy as np frame=DataFrame(np.arange(12).reshape((4,3)),index=['a','a','b','b'],[1,2,1,2],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']]) from pandas import * import pandas as pd; frame=DataFrame(np.arange(12).reshape((4,3)),index=['a','a','b','b'],[1,2,1,2],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']]) frame=DataFrame(np.arange(12).reshape((4,3)),index=[['a','a','b','b'],[1,2,1,2]],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']]) frame frame.index.names=['key1','key2'] frame.columns.names=['state','color'] frame frame.swaplevel('key1','key2') frame.index.names frame frame.sortlevel(1) frame.swaplevel(0,1).sortlevel(1) frame.swaplevel(0,1).sortlevel(0) frame frame.sum(level='key2') frame frame.sum(level='color',axis=1) frame =DataFrame({'a':range(7),'b':range(7,0,-1),'c':['one','one','one','one','two','two','two','two'],'d':[0,1,2,0,1,2,3]}) frame =DataFrame({'a':range(7),'b':range(7,0,-1),'c':['one','one','one','two','two','two','two'],'d':[0,1,2,0,1,2,3]}) frame frame2=frame.set_index(['c','d']) frame2 frame2=frame.set_index(['c','d'],drop = False) frame2 frame2.reset_index() ser=Series(np.arange(3.)) ser[-1] ser ser2=Series(np.arange(3.),index=['a','b','c']) ser2 ser[-1] ser2[-1] ser2 ser ser.ix[:1] ser3=Series(range(3),index=[-5,1,3]) ser3 ser3.iget_value(2) frame=DataFrame(np.arange(6).reshape(3,2),index=[2,0,1]) frame frame.irow(0) get_ipython().magic(u'save d:/log 1:1000')