适合练手的matplotlib小项目有哪些

比如绘制基本的多边形图：

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.tri as tri
data = np.random.rand(100, 2)
triangles = tri.Triangulation(data[:,0], data[:,1])
plt.triplot(triangles)
plt.show()

绘制散点图：

import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
N = 256
angle = np.linspace(0, 8 * 2 * np.pi, N)
radius = np.linspace(.5, 1., N)
X = radius * np.cos(angle)
Y = radius * np.sin(angle)
plt.scatter(X, Y, c = angle, cmap = cm.hsv)
plt.show()

这里作者介绍了，绘制多颜色图时的解决方案，使用 colormaps.

绘制多边形：

import numpy as np
import matplotlib.pyplot as plt
theta = np.linspace(0, 2 * np.pi, 8)
points = np.vstack((np.cos(theta), np.sin(theta))).transpose()
plt.figure(figsize=(4., 4.))
plt.gca().add_patch(plt.Polygon(points, color = '.75'))
plt.grid(True)
plt.axis('scaled')
plt.savefig('polygon.png', dpi = 128)