Matplotlib.axis.Tick.set_picker() function in Python

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.

Matplotlib.axis.Tick.set_picker() Function

The Tick.set_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist. 

Syntax: Tick.set_picker(self, picker) 
Parameters: This method accepts the following parameters. 

• picker: This parameter is used to set picking behavior. This can be None or bool or float or function.

Return value: This method does not return any value. 

Below examples illustrate the matplotlib.axis.Tick.set_picker() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt

np.random.seed(19680801)

volume = np.random.rayleigh(27, size = 40)
amount = np.random.poisson(7, size = 40)
ranking = np.random.normal(size = 40)
price = np.random.uniform(1, 7, size = 40)

fig, ax = plt.subplots()

scatter = ax.scatter(volume * 3,
                     amount**4,
                     c = ranking**4,
                     s = price**4,
                     vmin = -3,
                     vmax = 3,
                     cmap ="Spectral")

Tick.set_picker(ax, picker = 4)

fig.suptitle('matplotlib.axis.Tick.set_picker() \
function Example', fontweight ="bold")

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
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-')

Tick.set_picker(ax, picker = True)

fig.suptitle('matplotlib.axis.Tick.set_picker() \
function Example', fontweight ="bold")

plt.show()

Output: