如何将形状为(band，row，column)的数组重新整形为(row，column，band)? [英] How do I re-shape an array with shape(band,row,column) to (row,column,band)?

问题描述

我有一个形状为(370,275,210)的NumPy数组，我想将其重塑为(275,210,370).我将如何在Python中实现这一目标? 370是带的数量，275是行的数量，而210是图像中包含的列的数量.

I have a NumPy array with shape(370,275,210) and I want to re-shape it to (275,210,370). How would I achieve this in Python? 370 is the number of bands,275 is the number of rows, and 210 is the number of columns contained in the image.

推荐答案

您可以使用 np.moveaxis()

>>> a = np.zeros((370, 275, 210))
>>> a.shape
(370, 275, 210)
>>> a = np.moveaxis(a, 0, 2)
>>> a.shape
(275, 210, 370)

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