matplotlib.pyplot常用方法

最新推荐文章于 2025-04-03 08:55:45 发布

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最新推荐文章于 2025-04-03 08:55:45 发布

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文章标签： matplotlib plt文档 Python

本文链接：https://blog.youkuaiyun.com/weixin_40941966/article/details/80895695

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本文详细介绍了使用matplotlib.pyplot进行轴属性设置的方法，包括如何获取和设置轴限制、关闭轴线和标签、使坐标轴等比例显示等内容。

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matplotlib.pyplot提供了类似MATLAB的绘图框架。

（1）matplotlib.pyplot.axis(*v, **kwargs)--便捷的获取或设置轴属性的方法

 
  >>> axis()

returns the current axes limits [xmin, xmax, ymin, ymax].:

 
  >>> axis(v)

sets the min and max of the x and y axes, with v = [xmin, xmax, ymin, ymax].:

 
  >>> axis('off')

turns off the axis lines and labels.:

 
  >>> axis('equal')

changes limits of x or y axis so that equal increments of x and y have the same length; a circle is circular.:

 
  >>> axis('scaled')

achieves the same result by changing the dimensions of the plot box instead of the axis data limits.:

 
  >>> axis('tight')

changes x and y axis limits such that all data is shown. If all data is already shown, it will move it to the center of the figure without modifying (xmax - xmin) or (ymax - ymin). Note this is slightly different than in MATLAB.:

 
  >>> axis('image')

is ‘scaled’ with the axis limits equal to the data limits.:

 
  >>> axis('auto')

and:

 
  >>> axis('normal')

are deprecated. They restore default behavior; axis limits are automatically scaled to make the data fit comfortably within the plot box.

if len(*v)==0, you can pass in xmin, xmax, ymin, ymax as kwargs selectively to alter just those limits without changing the others.

 
  >>> axis('square') 
 

changes the limit ranges (xmax-xmin) and (ymax-ymin) of the x and y axes to be the same, and have the same scaling, resulting in a square plot.

The xmin, xmax, ymin, ymax tuple is returned

算了，文档内容太多了就不列举了，大家有想学习的可以去自行浏览

链接：https://matplotlib.org/api/pyplot_api.html