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I am new to python and pyplot. I am trying to understand the documentation for the Matplotlib API related to the Figure Figure API.
In the beginning it says there is a class matplotlib.figure.AxesStack, and then
The AxesStack is a callable, where ax_stack() returns the current axes
When I try to use this in a program
import numpy as np import matplotlib.pyplot as plt n=4 v=np.arange(n) X,Y = np.meshgrid(v,v) Z=np.random.rand(n-1,n-1) fig, ax = plt.subplots() plt.pcolormesh(X, Y, Z) plt.axis('tight') plt.colorbar() ast=fig.ax_stack() plt.show() I get error
AttributeError: 'Figure' object has no attribute 'ax_stack' 
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axis() method allows you to set the x and y limits with a single call, by passing a list which specifies [xmin, xmax, ymin, ymax] : In [11]: plt. plot(x, np.
add_axes([left, bottom, width, height]) to add an axes onto a fig . This function enables arbitrary layouts of axes on fig by taking the dimensions ( [left, bottom, width, height] ) of the new axes (you can find an example here). All four numbers should be in fractions of figure width and height.
add_axes plot inside plot matplotlib To create a figure object, use the figure() method. To define data points x and y. To plot a graph, use the plot() method of pyplot module. To add a plot inside an already generated plot, use the add_axes() method.
The property axes returns a list of the Axes objects in the Figure object:
ax_list = fig.axes (doc)
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