如何在matplotlib clormap中为单个方块指定自定义颜色？

wpx232ag 于 2023-03-03 发布在其他

关注(0)|答案(1)|浏览(169)

如何将单个方块的颜色设置为特定的颜色？这是我所拥有的：

fig, ax = plt.subplots()
    ax.matshow(quality_matrix, cmap=plt.cm.Blues)
    for i in range(len(quality_matrix)):
        for j in range(len(quality_matrix)):
            ax.text(i, j, str(quality_matrix[j][i]), va='center', ha='center')

这是一个色彩Map表。我希望能够这样做：

ax.setcolor(0, 2, 'black')
ax.setcolor(1, 1, 'black')
ax.setcolor(2, 0, 'black')
ax.setcolor(4, 3, 'red')

matplotlib

来源：https://stackoverflow.com/questions/75591780/how-to-assign-custom-colors-to-individual-squares-in-matplotlib-clormap

1条答案

按热度按时间

plupiseo1#

以下方法将在指定位置绘制彩色方块：

import matplotlib.pyplot as plt
import numpy as np
def set_matshow_cell_color(ax, i, j, color):
    ax.add_patch(plt.Rectangle((i - 0.5, j - 0.5), 1, 1, color=color))
quality_matrix = np.random.rand(5, 8).round(2)
fig, ax = plt.subplots()
mat = ax.matshow(quality_matrix, cmap=plt.cm.Blues)
for i in range(quality_matrix.shape[1]):
    for j in range(quality_matrix.shape[0]):
        ax.text(i, j, str(quality_matrix[j][i]), va='center', ha='center',
                color='white' if quality_matrix[j][i] > 0.3 else 'black')
set_matshow_cell_color(ax, 0, 2, 'black')
set_matshow_cell_color(ax, 1, 1, 'black')
set_matshow_cell_color(ax, 2, 0, 'black')
set_matshow_cell_color(ax, 4, 3, 'red')
plt.show()

展开查看全部

赞(0）回复(0）举报 2023-03-03

我来回答

如何在matplotlib clormap中为单个方块指定自定义颜色？

1条答案

相关问题

热门标签

最新问答