如何替换 2D numpy 数组的某个区域？ [复制]答案

【问题标题】：How can I replace a certain area of an 2D numpy array? [duplicate]如何替换 2D numpy 数组的某个区域？ [复制]
【发布时间】：2021-02-01 17:58:33
【问题描述】：

X2d = np.array([[255,255,255,255],
                [255,255,255,255],
                [255,255,255,255],
                [255,255,255,255]])


# I want to give it information about right, up, width, height where I want to manipulate it
# for example (1, 1, 2, 2)
# and I would like to get these two:

X2dresult = np.array([[255,255,255,255],
                      [255,  0,  0,255],
                      [255,  0,  0,255],
                      [255,255,255,255]])

我想在更高的维度上做类似的事情。

【问题讨论】：

Duplicate of How to create a 2D “rect” array (square block of 1's, else 0's) in numpy?。

标签： python arrays image numpy image-processing

【解决方案1】：

你可以在 numpy.例如：

X2d = np.array([[255,255,255,255],
                [255,255,255,255],
                [255,255,255,255],
                [255,255,255,255]])

X2d[1:3, 1:3] = 0

给你：

array([[255, 255, 255, 255],
       [255,   0,   0, 255],
       [255,   0,   0, 255],
       [255, 255, 255, 255]])

这也适用于更高的维度。

【讨论】：