python画CIE1931色度图并标点

可以使用Python的matplotlib库来绘制CIE 1931色度图并标点。以下是一个基本的示例代码：

import matplotlib.pyplot as plt

# CIE 1931色度图的x、y坐标
x = [0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.1741, 0.2425, 0.3457, 0.4610, 0.5796, 0.6583, 0.7347, 0.8130, 0.8752, 0.9238, 0.9614, 0.9824, 0.9918, 0.9991, 0.9997, 0.9999]
y = [0.0050, 0.0250, 0.0700, 0.1450, 0.2900, 0.4250, 0.5600, 0.6600, 0.7350, 0.7900, 0.8250, 0.8400, 0.8450, 0.8400, 0.8250, 0.7803, 0.7347, 0.6832, 0.6082, 0.5278, 0.4495, 0.3669, 0.2919, 0.2282, 0.1791, 0.1400, 0.1070, 0.0816, 0.0610, 0.0446]

# 绘制色度图
plt.plot(x, y, 'o-')
plt.xlim(0, 1)  # 设置x轴范围
plt.ylim(0, 1)  # 设置y轴范围
plt.xlabel('x')  # 设置x轴标签
plt.ylabel('y')  # 设置y轴标签
plt.title('CIE 1931 Chromaticity Diagram')  # 设置图标题

# 绘制标点
points = [(0.3, 0.4), (0.5, 0.6), (0.7, 0.8)]  # 标点坐标
labels = ['A', 'B', 'C']  # 标点标签

for point, label in zip(points, labels):
    plt.plot(point[0], point[1], 'ro')  # 绘制红色标点
    plt.text(point[0] + 0.01, point[1] + 0.01, label)  # 添加标签

plt.show()

运行上述代码，将绘制出CIE 1931色度图，并在指定的坐标处添加了标点和标签。你可以根据需要修改`points`和`labels`数组来调整标点的位置和标签。