Matplotlib可视化（二十二）-- 形状

生成形状，patches
import matplotlib.patches as mpatches
add_patch

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Caramel
@file: 2.5.py
@time: 2020/03/04
@desc:形状
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches

fig, ax = plt.subplots()
xy1 = np.array([0.2, 0.2])#设置圆心
xy2 = np.array([0.2, 0.8])  # 设置左下角位置
xy3 = np.array([0.8, 0.2])
xy4 = np.array([0.8, 0.8])


circle = mpatches.Circle(xy1, 0.1)#设置圆心和半径
rect = mpatches.Rectangle(xy2, 0.2, 0.1, color='r')#0.2是宽，0.1是高
ploygon = mpatches.RegularPolygon(xy3, 5, 0.1, color='g')#5是边数，中心到顶点长度
ellipse = mpatches.Ellipse(xy4, 0.4, 0.2, color='y')#0.4长直径，0.2短直径

ax.add_patch(circle)#加到图里
ax.add_patch(rect)
ax.add_patch(ploygon)
ax.add_patch(ellipse)

plt.axis('equal')#调整为正圆形
plt.grid(True)


plt.show()