擅长:python、mysql、java
<p>使用<code>np.arange</code>屏蔽行,<code>cmap='gray'</code>绘制黑白:</p>
<pre><code>import matplotlib.pyplot as plt
import numpy as np
im=np.zeros((100,100)) + 0
r1, r2 = 31,41
rows = np.arange(im.shape[0])
m1 = np.logical_and(rows > r1, rows < r2)
im[rows[m1], :] = 255
plt.imshow(im, cmap='gray')
</code></pre>
<p><a href="https://i.stack.imgur.com/zIYWE.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zIYWE.png" alt="enter image description here"/></a></p>
<p>要在像素级别上工作,请从<code>np.indices</code>获取行和列索引:</p>
^{pr2}$
<p><a href="https://i.stack.imgur.com/6lLRw.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/6lLRw.png" alt="enter image description here"/></a></p>