Python学习笔记--形状
参靠视频:《Python数据可视化分析 matplotlib教程》链接:https://www.bilibili.com/video/av6989413/?p=6
所用的库及环境:
IDE:Pycharm
Python环境:python3.7
Matplotlib: Matplotlib 1.11
Numpy: Numpy1.15.
形状
1 import numpy as np 2 import matplotlib.pyplot as plt 3 import matplotlib.patches as mpathes 4 5 fig,ax = plt.subplots() 6 xy1 = np.array([0.2,0.2]) 7 xy2 = np.array([0.2,0.8]) 8 xy3 = np.array([0.8,0.2]) 9 xy4 = np.array([0.8,0.8]) 10 #圆形 11 circle = mpathes.Circle(xy1,0.05) 12 ax.add_patch(circle) 13 #长方形 14 rect = mpathes.Rectangle(xy2,0.2,0.1,color=‘r‘) 15 ax.add_patch(rect) 16 #多边形 17 polygon = mpathes.RegularPolygon(xy3,5,0.1,color=‘g‘) 18 ax.add_patch(polygon) 19 #椭圆形 20 ellipse = mpathes.Ellipse(xy4,0.4,0.2,color=‘y‘) 21 ax.add_patch(ellipse) 22 23 plt.axis(‘equal‘) 24 plt.grid() 25 plt.show()
感谢matplotlib提供的文档,感谢麦子学院提供的视频教学
文章如哪里有误请联系作者QQ406802063,及时更正,感谢
原文:https://www.cnblogs.com/linblogs/p/9672769.html