无法使用行索引从python数据框中获取行

Question

i read data from csv to python dataframe, and set index_col to create multilevel index, here is the result:

import pandas as pd
import numpy as np

path1= "C:\\Users\\IBM_ADMIN\\Desktop\\ml-1m\\ZTXDMEMPEE.csv"
frame1 = pd.read_csv(path1,encoding='utf8',index_col=['MGR_CNUM','CNUM'])
frame1

when i use method 'ix' to get rows using row index, i get incorrect result,

frame1.ix['002263796']

Answer 1

First off. Absolutely do not use .ix for anything other than mixed label and integer location selection. Choose iloc or loc . Your result appears to be correct as indexing selection works by choosing all the rows that have that index. In this case, the outer level index.