如何在numpy中创建3维矩阵，如matlab a(:，:，:) [英] How to create 3 dimensions matrix in numpy , like matlab a(:,:,:)

问题描述

如何在numpy中创建3维矩阵，例如matlab a(:，:，:).我尝试通过使用numpy.array将可创建3d矩阵的matlab代码转换为python，但我不知道如何在numpy中创建3d矩阵/数组

How to create 3 dimensions matrix in numpy , like matlab a(:,:,:) . I try to convert matlab code that create 3d matrix to python by use numpy.array and i don't know how to create 3d matrix/array in numpy

推荐答案

a=np.empty((2,3,5))

创建一个2x3x5数组. (如果要初始化值，则还有np.zeros.)

creates a 2x3x5 array. (There is also np.zeros if you want the values initialized.)

您还可以调整现有数组的形状:

You can also reshape existing arrays:

a=np.arange(30).reshape(2,3,5)

np.arange(30)创建一个1-d数组，其值从0..29开始. reshape()方法返回一个数组，其中包含具有相同形状的相同数据.

np.arange(30) creates a 1-d array with values from 0..29. The reshape() method returns an array containing the same data with a new shape.

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