matplotlib中axes和axis的區別

原文鏈接 https://www.zhihu.com/question/51745620

# figure  畫板

# axes  軸域，包括軸的集合和一些其他特征，畫紙

# subplot()  vs.  add_axes()

import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
ax3 = fig.add_axes([0.1,0.1,0.8,0.8])
ax4 = fig.add_axes([0.71,0.71,0.4,0.4])
plt.show()

 

 

 # axes方法和pyplot函數

 

 

 

 兩種方法都可以實現一樣的結果，這也代表是貫穿python變成的兩種思路：函數式編程和對象式編程，我們這里可以比較一下兩套工具的優缺點：

axis顧名思義就是軸。

axes簡單說來就是靈活的子圖。和Subplot的關系見官網上axes的說明:

Most of you are probably familiar with the Subplot, which is just a special case of an Axes that lives on a regular rows by columns grid of Subplot instances. If you want to create an Axes at an arbitrary location, simply use the add_axes() method which takes a list of [left, bottom, width, height] values in 0-1 relative figure coordinates: