绘制2D高斯分布散点图

import matplotlib.pyplot as plt
import numpy as np
import random


plt.xlim((0, 100))
plt.ylim((0, 100))

total_x = None
total_y = None
total_c = None
for _ in range(12):
    mu_x = random.randint(0, 100)
    mu_y = random.randint(0, 100)
    sig_x = random.random() * 5
    sig_y = random.random() * 5
    num = 50
    c = random.random()
    colors = np.ones(num) * c
    print(c)
    x = np.random.normal(loc=mu_x, scale=sig_x, size=num)
    y = np.random.normal(loc=mu_y, scale=sig_y, size=num)
    # plt.scatter(x, y, c=colors, s=1, cmap='viridis')

    if total_x is None:
        total_x = x.copy()
    else:
        total_x = np.concatenate([total_x, x])
    if total_y is None:
        total_y = y.copy()
    else:
        total_y = np.concatenate([total_y, y])
    if total_c is None:
        total_c = colors.copy()
    else:
        total_c = np.concatenate([total_c, colors])

plt.scatter(total_x, total_y, c=total_c, s=1, cmap='viridis')
plt.colorbar()
plt.show()