问题描述

我一直在这里和网上搜索.我以某种方式找到了我想要的问题/答案，但仍然无法达到我正在寻找的东西.

我有一个数组，例如 100 个值.值在 0 到 100 的范围内.我想将此数组绘制为网格，根据数组中的值填充正方形.

目前我找到的解决方案如下:

有关更多信息，您可以查看此 matplotlib 示例.

I have been searching here and on the net. I found somehow close questions/answers to what I want, but still couldn't reach to what I'm looking for.

I have an array of for example, 100 values. The values are in the range from 0 to 100. I want to plot this array as a grid, filling the squares according to the values in the array.

The solutions I found so far are like the followings:

Drawing grid pattern in matplotlib

and

custom matplotlib plot : chess board like table with colored cells

In the examples I mentioned, the ranges of the colors vary and are not fixed.

However, what I am wondering about, is whether I can set the ranges for specific values and colors. For example, if the values are between 10 and 20, let the color of the grid square be red. else if the values are between 20 and 30, let the color be blue. etc.

How this could be achieved in python?

You can create a ListedColormap for your custom colors and color BoundaryNorms to threshold the values.

import matplotlib.pyplot as plt
from matplotlib import colors
import numpy as np

data = np.random.rand(10, 10) * 20

# create discrete colormap
cmap = colors.ListedColormap(['red', 'blue'])
bounds = [0,10,20]
norm = colors.BoundaryNorm(bounds, cmap.N)

fig, ax = plt.subplots()
ax.imshow(data, cmap=cmap, norm=norm)

# draw gridlines
ax.grid(which='major', axis='both', linestyle='-', color='k', linewidth=2)
ax.set_xticks(np.arange(-.5, 10, 1));
ax.set_yticks(np.arange(-.5, 10, 1));

plt.show()

Resulting in;

For more, you can check this matplotlib example.

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