Matplotlib.axis.Tick.set_url() function in Python

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

# Implementation of matplotlib function
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()

Output:

Example 2:

Python3

# Implementation of matplotlib function
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()

Output:

Matplotlib.axis.Tick.set_url() function in Python

S

SHUBHAMSINGH10

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Matplotlib.axis.Tick.set() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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() Function The Tick.set() function in axis module of m

Matplotlib.axis.Axis.set_label() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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.set_label() Function The Axis.set_label() function in axis

Matplotlib.axis.Tick.set_gid() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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_gid() Function The Tick.set_gid() function in axis mod

Matplotlib.axis.Tick.set_url() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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_url() Function The Tick.set_url() function in axis mod

Matplotlib.axis.Axis.set_label_text() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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.set_label_text() Function The Axis.set_label_text() functi

Matplotlib.axis.Tick.set_snap() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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_snap() Function The Tick.set_snap() function in axis m

Matplotlib.axis.Axis.set_ticks() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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.set_ticks() Function The Axis.set_ticks() function in axis

Matplotlib.axis.Tick.set_alpha() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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_alpha() Function The Tick.set_alpha() function in axis

Matplotlib.axis.Tick.set_figure() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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_figure() Function The Tick.set_figure() function in ax

Matplotlib.axis.Tick.set_picker() function in Python

Matplotlib is a library in Python and it is numerical â€“ 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 ax