Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_picker() Function
The Axes.get_picker() function in axes module of matplotlib library is used to return the picking behavior of the artist.
Syntax: Axes.get_picker(self)
Parameters: This method does not accept any parameters.
Returns: This method the picking behavior of the artist.
Below examples illustrate the matplotlib.axes.Axes.get_picker() function in matplotlib.axes:
Example 1:
#Implementation of matplotlib function import numpy as np
np.random.seed( 19680801 )
import matplotlib.pyplot as plt
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,
amount,
c = ranking,
s = price * 3 ,
vmin = - 3 ,
vmax = 3 ,
cmap = "Spectral" )
legend1 = ax.legend( * scatter.legend_elements(num = 5 ),
loc = "upper left" ,
title = "Ranking" )
ax.add_artist(legend1) ax.text( 8 , 8 , "Value return : " + str (ax.get_picker()),
fontweight = "bold" ,
fontsize = 18 )
fig.suptitle('matplotlib.axes.Axes.get_picker() function \ Example', fontweight = "bold" )
plt.show() |
Output:
Example 2:
# Implementation of matplotlib function 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 (ax.get_picker()),
fontweight = "bold" ,
fontsize = 18 )
fig.suptitle('matplotlib.axes.Axes.get_picker()\ function Example', fontweight = "bold" )
plt.show() |
Output: