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().reshape((,)),index=['a','a','b','b'],[,,,],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']])
frame=DataFrame(np.arange().reshape((,)),index=['a','a','b','b'],[,,,],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']])
import numpy as np
frame=DataFrame(np.arange().reshape((,)),index=['a','a','b','b'],[,,,],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']])
from pandas import *
import pandas as pd;
frame=DataFrame(np.arange().reshape((,)),index=['a','a','b','b'],[,,,],columns=[['Ohio','Ohio','Colorado'],['Green','Red','Green']])
frame=DataFrame(np.arange().reshape((,)),index=[['a','a','b','b'],[,,,]],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()
frame.swaplevel(,).sortlevel()
frame.swaplevel(,).sortlevel()
frame
frame.sum(level='key2')
frame
frame.sum(level='color',axis=)
frame =DataFrame({'a':range(),'b':range(,,-),'c':['one','one','one','one','two','two','two','two'],'d':[,,,,,,]})
frame =DataFrame({'a':range(),'b':range(,,-),'c':['one','one','one','two','two','two','two'],'d':[,,,,,,]})
frame
frame2=frame.set_index(['c','d'])
frame2
frame2=frame.set_index(['c','d'],drop = False)
frame2
frame2.reset_index()
ser=Series(np.arange())
ser[-]
ser
ser2=Series(np.arange(),index=['a','b','c'])
ser2
ser[-]
ser2[-]
ser2
ser
ser.ix[:]
ser3=Series(range(),index=[-,,])
ser3
ser3.iget_value()
frame=DataFrame(np.arange().reshape(,),index=[,,])
frame
frame.irow()
get_ipython().magic(u'save d:/log 1:1000')