将数据框转换为列表 [英] converting dataframe into a list

问题描述

  2u 2s 4r 4n 4m 7h 7v 
 0 1 1 0 0 0 1 
 0 1 0 1 0 0 1 
 1 0 0 1 0 1 0 
 1 0 0 0 1 1 0 
 1 0 1 0 0 1 0 
 0 1 1 0 0 0 1 
  

我想做的是将这个pandas.DAtaFrame列入如下

  X = [
 [0,0,1,1,1,0] 
 [1,1,0,0,0,1]，
 [1,0,0,0,1,1]，
 [0,1,1,0,0 ，0]，
 [0,0,0,1,0,0]，
 [0,0,1,1,1,0]，
 [1,1,0 ，0,0,1] 
] 
  

（2u 2s 4r 4n 4m 7h 7v列标题。它将在不同的情况下改变，所以不要打扰它。）

解决方案

它看起来像一个转置的矩阵：

  df.values.T.tolist（）
  

I have a Python dataFrame with multiple columns.

2u    2s    4r     4n     4m   7h   7v
0     1     1      0      0     0    1
0     1     0      1      0     0    1
1     0     0      1      0     1    0
1     0     0      0      1     1    0
1     0     1      0      0     1    0
0     1     1      0      0     0    1

What I want to do is to convert this pandas.DAtaFrame into a list like following

X= [
 [0,0,1,1,1,0],
 [1,1,0,0,0,1],
 [1,0,0,0,1,1],
 [0,1,1,0,0,0],
 [0,0,0,1,0,0],
 [0,0,1,1,1,0],
 [1,1,0,0,0,1]
 ]

(2u 2s 4r 4n 4m 7h 7v are column headings.It will change in different situations, so don't bother about it.)

解决方案

It looks like a transposed matrix:

df.values.T.tolist()

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