Matplotlib.axis.Axis.get_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.Axis.get_picker() Function
The Axis.get_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Axis.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.Axis.get_picker() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Axis
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,
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 (Axis.get_picker(ax)),
fontweight = "bold" ,
fontsize = 18 )
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
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-' , picker = 5 )
ax.set_picker( True )
ax.text( 0.48 , 0.3 , "Value return : "
+ str (Axis.get_picker(ax)),
fontweight = "bold" ,
fontsize = 18 )
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Last Updated :
08 Jun, 2020
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