访问numpy.ndarray的列和行 [英] Access columns and rows of numpy.ndarray

问题描述

我目前正在努力从存储为numpy.ndarray的矩阵中提取某些列和行.

I currently struggling with extracting certain columns and rows from a matrix stored as a numpy.ndarray.

我有一个列表，其中附加了这些numpy.ndarrays.

I have a list in which I've appended these numpy.ndarrays.

此列表存储在名为data

print data[0].shape

输出此

(400, 288)

根据文档，我已经理解该矩阵具有400行和288列.

Which I've according to the documentation have understood being the matrix has 400 rows, and 288 columns.

如何分别提取所有288?

How do I extract all the 288 seperately?

示例:

>> import numpy as np
>> data = np.random.rand(3,3)
>> print data

[[ 0.97522481  0.57583658  0.68582806]
 [ 0.88509883  0.22261933  0.84307038]
 [ 0.59397925  0.51592125  0.54346909]]

我如何单独打印此3x3矩阵的列，首先是

How do I print the columns separately of this 3x3 matrix, first being

[0.97522481 , 0.88509883, 0.59397925 ]

不输出其他内容?

推荐答案

是您要找的东西吗?

import numpy as np
arr = np.array([[1, 2], 
                [3, 4], 
                [5, 6]])
print(arr.shape)
# (3, 2)
print(list(data.T))
# [array([1, 3, 5]), array([2, 4, 6])]

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