Matplotlib散点图

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import numpy as np
import matplotlib.pyplot as plt

N = 50

x = np.linspace(0., 10., N)
y = np.sin(x)**2 + np.cos(x)

plt.figure()
plt.scatter(x, y)

plt.axis('equal')
plt.xlabel(r'$x$ (rad)')
plt.ylabel(r'$sin^2(x)$')
plt.scatter(x, y, s = 15, label = r'$y = sin^2(x) + cos(x)$', marker='^', color='b')
plt.legend()

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import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator

N = 30

plt.figure(figsize=(7, 6))

randx = np.random.random(N) * 100
randy = np.random.random(N) * 100
size = np.random.randint(50, 200, size=N)

plt.axis('equal')

ax = plt.gca()
ax.xaxis.set_minor_locator(MultipleLocator(10))
ax.yaxis.set_minor_locator(MultipleLocator(10))

plt.xlabel('randx')
plt.ylabel('randy')

plt.scatter(randx, randy, s = size, color = 'darkorange')

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