Matplotlib.axis.Axis.set_picker() function in Python
Last Updated :
15 Jul, 2025
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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.Axis.set_picker() Function
The Axis.set_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Axis.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 return the picking behavior of the artist.
Below examples illustrate the matplotlib.axis.Axis.set_picker() function in matplotlib.axis:
Example 1:
# Implementation of matplotlib function
from matplotlib.axis import Axis
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 * 2,
amount**3,
c = ranking**3,
s = price**3,
vmin = -3,
vmax = 3,
cmap ="Spectral")
Axis.set_picker(ax, picker = 4)
fig.suptitle('matplotlib.axis.Axis.set_picker() \
function Example\n', fontweight ="bold")
plt.show()
Output:
Example 2:
# 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-')
Axis.set_picker(ax, picker = True)
fig.suptitle('matplotlib.axis.Axis.set_picker() \
function Example\n', fontweight ="bold")
plt.show()
Output:
