将矩阵转换为图像

发布于 2024-10-15 02:58:55 字数 852 浏览 1 评论 0原文

我将如何在 Python 中将整数列表转换为矩阵图？

示例数据集是：

[[3, 5, 3, 5, 2, 3, 2, 4, 3, 0, 5, 0, 3, 2],
 [5, 2, 2, 0, 0, 3, 2, 1, 0, 5, 3, 5, 0, 0],
 [2, 5, 3, 1, 1, 3, 3, 0, 0, 5, 4, 4, 3, 3],
 [4, 1, 4, 2, 1, 4, 5, 1, 2, 2, 0, 1, 2, 3],
 [5, 1, 1, 1, 5, 2, 5, 0, 4, 0, 2, 4, 4, 5],
 [5, 1, 0, 4, 5, 5, 4, 1, 3, 3, 1, 1, 0, 1],
 [3, 2, 2, 4, 3, 1, 5, 5, 0, 4, 3, 2, 4, 1],
 [4, 0, 1, 3, 2, 1, 2, 1, 0, 1, 5, 4, 2, 0],
 [2, 0, 4, 0, 4, 5, 1, 2, 1, 0, 3, 4, 3, 1],
 [2, 3, 4, 5, 4, 5, 0, 3, 3, 0, 2, 4, 4, 5],
 [5, 2, 4, 3, 3, 0, 5, 4, 0, 3, 4, 3, 2, 1],
 [3, 0, 4, 4, 4, 1, 4, 1, 3, 5, 1, 2, 1, 1],
 [3, 4, 2, 5, 2, 5, 1, 3, 5, 1, 4, 3, 4, 1],
 [0, 1, 1, 2, 3, 1, 2, 0, 1, 2, 4, 4, 2, 1]]

为了让您了解我正在寻找的内容，Mathematica 中的 MatrixPlot 函数为我提供了该数据集的图像：

在此处输入图像描述

谢谢！

原文

How would I go about going converting a list of lists of ints into a matrix plot in Python?

The example data set is:

[[3, 5, 3, 5, 2, 3, 2, 4, 3, 0, 5, 0, 3, 2],
 [5, 2, 2, 0, 0, 3, 2, 1, 0, 5, 3, 5, 0, 0],
 [2, 5, 3, 1, 1, 3, 3, 0, 0, 5, 4, 4, 3, 3],
 [4, 1, 4, 2, 1, 4, 5, 1, 2, 2, 0, 1, 2, 3],
 [5, 1, 1, 1, 5, 2, 5, 0, 4, 0, 2, 4, 4, 5],
 [5, 1, 0, 4, 5, 5, 4, 1, 3, 3, 1, 1, 0, 1],
 [3, 2, 2, 4, 3, 1, 5, 5, 0, 4, 3, 2, 4, 1],
 [4, 0, 1, 3, 2, 1, 2, 1, 0, 1, 5, 4, 2, 0],
 [2, 0, 4, 0, 4, 5, 1, 2, 1, 0, 3, 4, 3, 1],
 [2, 3, 4, 5, 4, 5, 0, 3, 3, 0, 2, 4, 4, 5],
 [5, 2, 4, 3, 3, 0, 5, 4, 0, 3, 4, 3, 2, 1],
 [3, 0, 4, 4, 4, 1, 4, 1, 3, 5, 1, 2, 1, 1],
 [3, 4, 2, 5, 2, 5, 1, 3, 5, 1, 4, 3, 4, 1],
 [0, 1, 1, 2, 3, 1, 2, 0, 1, 2, 4, 4, 2, 1]]

To give you an idea of what I'm looking for, the function MatrixPlot in Mathematica gives me this image for this data set:

enter image description here

Thanks!

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巷子口的你 2024-10-22 02:58:55

您可以尝试

from pylab import *
A = rand(5,5)
figure(1)
imshow(A, interpolation='nearest')
grid(True)

在此处输入图像描述

来源

You may try

from pylab import *
A = rand(5,5)
figure(1)
imshow(A, interpolation='nearest')
grid(True)

enter image description here

source

回复收藏 0 原文

云淡风轻 2024-10-22 02:58:55

也许 matplotlib 中的 matshow() 就是您所需要的。

回复收藏 0 原文

奢望 2024-10-22 02:58:55

您还可以使用 matplotlib 中的 pyplot，遵循以下代码：

from matplotlib import pyplot as plt


plt.imshow(
[[3, 5, 3, 5, 2, 3, 2, 4, 3, 0, 5, 0, 3, 2],
 [5, 2, 2, 0, 0, 3, 2, 1, 0, 5, 3, 5, 0, 0],
 [2, 5, 3, 1, 1, 3, 3, 0, 0, 5, 4, 4, 3, 3],
 [4, 1, 4, 2, 1, 4, 5, 1, 2, 2, 0, 1, 2, 3],
 [5, 1, 1, 1, 5, 2, 5, 0, 4, 0, 2, 4, 4, 5],
 [5, 1, 0, 4, 5, 5, 4, 1, 3, 3, 1, 1, 0, 1],
 [3, 2, 2, 4, 3, 1, 5, 5, 0, 4, 3, 2, 4, 1],
 [4, 0, 1, 3, 2, 1, 2, 1, 0, 1, 5, 4, 2, 0],
 [2, 0, 4, 0, 4, 5, 1, 2, 1, 0, 3, 4, 3, 1],
 [2, 3, 4, 5, 4, 5, 0, 3, 3, 0, 2, 4, 4, 5],
 [5, 2, 4, 3, 3, 0, 5, 4, 0, 3, 4, 3, 2, 1],
 [3, 0, 4, 4, 4, 1, 4, 1, 3, 5, 1, 2, 1, 1],
 [3, 4, 2, 5, 2, 5, 1, 3, 5, 1, 4, 3, 4, 1],
 [0, 1, 1, 2, 3, 1, 2, 0, 1, 2, 4, 4, 2, 1]], interpolation='nearest')

plt.show()

输出为：

You can also use pyplot from matplotlib, follows the code:

from matplotlib import pyplot as plt


plt.imshow(
[[3, 5, 3, 5, 2, 3, 2, 4, 3, 0, 5, 0, 3, 2],
 [5, 2, 2, 0, 0, 3, 2, 1, 0, 5, 3, 5, 0, 0],
 [2, 5, 3, 1, 1, 3, 3, 0, 0, 5, 4, 4, 3, 3],
 [4, 1, 4, 2, 1, 4, 5, 1, 2, 2, 0, 1, 2, 3],
 [5, 1, 1, 1, 5, 2, 5, 0, 4, 0, 2, 4, 4, 5],
 [5, 1, 0, 4, 5, 5, 4, 1, 3, 3, 1, 1, 0, 1],
 [3, 2, 2, 4, 3, 1, 5, 5, 0, 4, 3, 2, 4, 1],
 [4, 0, 1, 3, 2, 1, 2, 1, 0, 1, 5, 4, 2, 0],
 [2, 0, 4, 0, 4, 5, 1, 2, 1, 0, 3, 4, 3, 1],
 [2, 3, 4, 5, 4, 5, 0, 3, 3, 0, 2, 4, 4, 5],
 [5, 2, 4, 3, 3, 0, 5, 4, 0, 3, 4, 3, 2, 1],
 [3, 0, 4, 4, 4, 1, 4, 1, 3, 5, 1, 2, 1, 1],
 [3, 4, 2, 5, 2, 5, 1, 3, 5, 1, 4, 3, 4, 1],
 [0, 1, 1, 2, 3, 1, 2, 0, 1, 2, 4, 4, 2, 1]], interpolation='nearest')

plt.show()

The output would be: