numpy数组到数据帧转换值e

Question

我有一个名为'data'的numpy数组-

array([['ksr-usconeng101', 'C', '632.3', '1'],
       ['ksr-usconeng101', 'D', '242.9', '2'],
       ['ksr-usconeng158', 'C', '1044.5', '3'],
       ['ksr-usconeng158', 'D', '2771.2', '4'],
       ['ksr-usconeng158', 'G', '7.3', '5'],
       ['ksr-usconeng163', 'C', '1597.0', '6'],
       ['ksr-usconeng163', 'D', '1676.3', '7'],
       ['server', 'drive', 'size', '']],
      dtype='<U15')

我想把它转换成数据帧-

pd.DataFrame(data=data[0:-1,0:3],
                   index = data[0:-1,-1],
                   columns = data[-1:, 0:-1])

数据-

data[0:-1,0:3]
Out[145]: 
array([['ksr-usconeng101', 'C', '632.3'],
       ['ksr-usconeng101', 'D', '242.9'],
       ['ksr-usconeng158', 'C', '1044.5'],
       ['ksr-usconeng158', 'D', '2771.2'],
       ['ksr-usconeng158', 'G', '7.3'],
       ['ksr-usconeng163', 'C', '1597.0'],
       ['ksr-usconeng163', 'D', '1676.3']],
      dtype='<U15')

索引-

data[0:-1,-1]
Out[146]: 
array(['1', '2', '3', '4', '5', '6', '7'],
      dtype='<U15')

列-

data[-1:, 0:-1]
Out[147]: 
array([['server', 'drive', 'size']],
      dtype='<U15')

然而，python并不同意，并以-

ValueError: Shape of passed values is (3, 7), indices imply (1, 7)

请说明我遗漏了什么。。你知道吗

Answer 1

import  numpy as np, pandas as pd

df = pd.DataFrame(data[0:7, 0:3].flatten().reshape(7,3),
       columns = ["a", "b", "c"])

            a           b     c
0   ksr-usconeng101     C   632.3
1   ksr-usconeng101     D   242.9
2   ksr-usconeng158     C   1044.5
3   ksr-usconeng158     D   2771.2
4   ksr-usconeng158     G   7.3
5   ksr-usconeng163     C   1597.0
6   ksr-usconeng163     D   1676.3