matplotlib中subplot和axes的区别 matplotlib中subplot和axes的区别

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matplotlib-logo.png 文：张利东
公众号：DongTalks
1. 缘起记得上次研究matplotlib的时候就被subplot和axes搞的晕头转向的。这次又遇到这个问题，决定无论如何也要消灭。
2. 行动上官网查了下，感觉subplot和axes没有太大本质的区别，都是Axes基类的子类。用add_subplot()方法返回的是matplotlib.axes._subplots.AxesSubplot object，用add_axes()方法返回的是matplotlib.axes._axes.Axes object。
【matplotlib中subplot和axes的区别】Github的官方教程里面写到

The Figure is the top-level container in this hierarchy. It is the overall window/page that everything is drawn on. You can have multiple independent figures and Figures can contain multiple Axes.
Most plotting ocurs on an Axes. The axes is effectively the area that we plot data on and any ticks/labels/etc associated with it. Usually we'll set up an Axes with a call to subplot (which places Axes on a regular grid), so in most cases, Axes and Subplot are synonymous.

也就是说，主要操作都是在axes上，axes可以通过调用subplot（方法？）生成，所以两者大多数人情况下是同义词。
大多数情况下相同，那区别呢？继续查找，在StackOverflow上找到一个解释挺好

Both, add_axes and add_subplot add an axes to a figure. They both return a matplotlib.axes.Axes object.
However, the mechanism which is used to add the axes differs substantially.

大致意思是