Matplotlib.axis.Tick.get_picker() in Python
Last Updated :
01 May, 2022
Improve
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.get_picker() Function
The Tick.get_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Tick.get_picker(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the picking behavior of the artist.
Below examples illustrate the matplotlib.axis.Tick.get_picker() function in matplotlib.axis:
Example 1:
# 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(7, 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**3,
c=ranking**3,
s=price ** 4,
vmin=-3,
vmax=3,
cmap="Spectral")
ax.text(8, 8, "Value return : "
+ str(Tick.get_picker(ax)),
fontweight="bold",
fontsize=18)
fig.suptitle("""matplotlib.axis.Tick.get_picker()
function Example\n""", fontweight="bold")
plt.show()
Output:
Example 2:
# 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-', picker=5)
ax.set_picker(True)
ax.text(0.48, 0.3, "Value return : "
+ str(Tick.get_picker(ax)),
fontweight="bold",
fontsize=18)
fig.suptitle("""matplotlib.axis.Tick.get_picker()
function Example\n""", fontweight="bold")
plt.show()
Output:
