Matplotlib.axis.Tick.set_picker() function in Python
Last Updated :
10 Jun, 2020
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.set_picker() Function
The Tick.set_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Tick.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 does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_picker() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Tick
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 * 3 ,
amount * * 4 ,
c = ranking * * 4 ,
s = price * * 4 ,
vmin = - 3 ,
vmax = 3 ,
cmap = "Spectral" )
Tick.set_picker(ax, picker = 4 )
fig.suptitle('matplotlib.axis.Tick.set_picker() \
function Example', fontweight = "bold" )
plt.show()
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Output:
Example 2:
Python3
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-' )
Tick.set_picker(ax, picker = True )
fig.suptitle('matplotlib.axis.Tick.set_picker() \
function Example', fontweight = "bold" )
plt.show()
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Output:
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