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# Matplotlib.pyplot.axes() in Python

• Last Updated : 17 May, 2020

Pyplot is another module of matplotlib that enables users to integrate MATLAB within Python environment, and thus providing MATLAB like interface and making Python visually interactive.

## Matplotlib.pyplot.axes()

`pyplot.axes` is a function of the matplotlib library that adds axes to the current graph and makes it as current axes. Its output depends on the arguments used.

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Syntax: matplotlib.pyplot.axes(*args, **kwargs)

Parameters:
*args: It may include either None(nothing) or 4 tuples of float type

• none: It gives a new full window axes
• 4 tuples: It takes 4 tuples as list i.e [left bottom width height] and gives a window of these dimensions as axes.

**kwargs: There are several keyword arguments(kwargs) used as parameters to pyplot.axes(), most common include facecolor, gid, in_layout, label, position, xlim, ylim, etc.

Example 1:

 `# importing matplot library along ``# with necessary modules``import` `matplotlib.pyplot as plt`` ` ` ` `# providing values to x and y ``x ``=` `[``8``, ``5``, ``11``, ``13``, ``16``, ``23``]``y ``=` `[``14``, ``8``, ``21``, ``7``, ``12``, ``15``]`` ` `# to plot x and y``plt.plot(x, y)`` ` `# to generate the full window axes``plt.axes()`

Output: Example 2:

 `# importing matplot library along ``# with necessary modules``import` `matplotlib.pyplot as plt`` ` ` ` `# providing values to x and y ``x ``=` `[``8``, ``5``, ``11``, ``13``, ``16``, ``23``]``y ``=` `[``14``, ``8``, ``21``, ``7``, ``12``, ``15``]`` ` `# to plot x and y``#plt.plot(x, y)``# to generate window of custom ``# dimensions [left, bottom, width,``# height] along with the facecolor ``plt.axes([``0``, ``2.0``, ``2.0``, ``2.0``], facecolor ``=` `'black'``) `

Output: My Personal Notes arrow_drop_up