Matplotlib.axes.Axes.set_picker() in Python
Last Updated :
21 Apr, 2020
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.set_picker() Function
The Axes.set_picker() function in axes module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Axes.set_picker(self, picker)
Parameters: This method accept the following parameters as discussed below:
- picker : This parameter is used to set picking behavior. This can be None or bool or float or function.
Returns: This method the picking behavior of the artist.
Below examples illustrate the matplotlib.axes.Axes.set_picker() function in matplotlib.axes:
Example 1:
import numpy as np
np.random.seed( 19680801 )
import matplotlib.pyplot as plt
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" )
ax.set_picker( 4 )
fig.suptitle('matplotlib.axes.Axes.set_picker() \
function Example', fontweight = "bold" )
plt.show()
|
Output:
Example 2:
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-' )
ax.set_picker( True )
fig.suptitle('matplotlib.axes.Axes.set_picker()\
function Example', fontweight = "bold" )
plt.show()
|
Output:
Share your thoughts in the comments
Please Login to comment...