Matplotlib.axis.Tick.set_label() 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_label() Function
The Tick.set_label() function in axis module of matplotlib library is used to set the label that will be displayed in the legend.
Syntax: Tick.set_label(self, a)
Parameters: This method accepts the following parameters.
- a: This parameter is converted to a string by calling str.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_label() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Tick
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.collections import EllipseCollection
x = np.arange( 5 )
y = np.arange( 7 )
X, Y = np.meshgrid(x * * 2 , y * * 3 )
XY = np.column_stack((X.ravel(), Y.ravel()))
fig, ax = plt.subplots()
ec = EllipseCollection( 5 , 7 , 5 , units = 'y' ,
offsets = XY * 0.5 ,
transOffset = ax.transData,
cmap = "plasma" )
ec.set_array((X * Y + X * X).ravel())
ax.add_collection(ec)
ax.autoscale_view()
ax.set_xlabel( 'X' )
ax.set_ylabel( 'y' )
cbar = plt.colorbar(ec)
cbar.set_label( 'X + Y' )
fig.suptitle('matplotlib.axis.Tick.set_label() \
function Example', fontweight = "bold" )
plt.show()
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Output:
Example 2:
Python3
from matplotlib.axis import Tick
import matplotlib.pyplot as plt
import numpy as np
np.random.seed( 19680801 )
n = 100000
x = np.random.standard_normal(n)
y = 2 * np.random.standard_normal(n)
z = [ 1 , 2 , 3 , 4 ]
fig, ax = plt.subplots()
hb = ax.hexbin(x, y,
gridsize = 50 ,
bins = 'log' ,
cmap = 'inferno' )
cb = fig.colorbar(hb, ax = ax)
cb.set_label( 'log' )
fig.suptitle('matplotlib.axis.Tick.set_label() \
function Example', fontweight = "bold" )
plt.show()
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Output:
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