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• Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

The Axis.set_pickradius() function in axis module of matplotlib library is used to set the depth of the axis used by the picker

Parameters: This method accepts the following parameters.

• pickradius: This parameter is the float value.

Return value: This method does not return any value.

Below examples illustrate the matplotlib.axis.Axis.set_pickradius() function in matplotlib.axis:

Example 1:

## Python3

 `# Implementation of matplotlib function``from` `matplotlib.axis ``import` `Axis``import` `numpy as np ``import` `matplotlib.pyplot as plt ``    ` `X ``=` `np.random.rand(``10``, ``200``) ``xs ``=` `np.mean(X, axis ``=` `1``) ``ys ``=` `np.std(X, axis ``=` `1``) ``    ` `fig ``=` `plt.figure() ``ax ``=` `fig.add_subplot(``111``) ``line, ``=` `ax.plot(xs, ys, ``'go-'``)`` ` `ax.grid()`` ` `ax.yaxis.set_pickradius(``-``3``)``ax.xaxis.set_pickradius(``3``)``  ` `fig.suptitle(``"""matplotlib.axis.Axis.set_pickradius()``function Example\n"""``, fontweight ``=``"bold")  ``      ` `plt.show()`

Output:

Example 2:

## Python3

 `# Implementation of matplotlib function``from` `matplotlib.axis ``import` `Axis``import` `numpy as np ``np.random.seed(``19680801``) ``import` `matplotlib.pyplot as plt ``       ` `volume ``=` `np.random.rayleigh(``27``, size ``=` `100``) ``amount ``=` `np.random.poisson(``7``, size ``=` `100``) ``ranking ``=` `np.random.normal(size ``=` `100``) ``price ``=` `np.random.uniform(``1``, ``7``, size ``=` `100``) ``       ` `fig, ax ``=` `plt.subplots() ``       ` `scatter ``=` `ax.scatter(volume ``*` `2``,  ``                     ``amount``*``*``3``, ``                     ``c ``=` `ranking, ``                     ``s ``=` `price``*``*``3``, ``                     ``vmin ``=` `-``3``, ``                     ``vmax ``=` `3``, ``                     ``cmap ``=``"Spectral"``)``ax.yaxis.set_pickradius(``25``)``ax.xaxis.set_pickradius(``5``)``ax.grid()``  ` `fig.suptitle(``"""matplotlib.axis.Axis.set_pickradius()``function Example\n"""``, fontweight ``=``"bold")  ``      ` `plt.show()`

Output:

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