Home » Python » Python Data Visualization

Python | Pyplot Labelling (Matplotlib Labels and Title)

Python | Pyplot Labelling: In this tutorial, we are going to learn types of labels in a Pyplot API with the examples. By Anuj Singh Last updated : August 18, 2023

There are the following types of labels,

1) X-axis labelling

plt.xlabel('Number Line')
# Default labelling

plt.xlabel('Number Line', color='green')
#Font colour Changed

plt.xlabel('Number Line', color='Green', fontsize=15)
#Font size Change

plt.xlabel('Number Line', color='Green', fontsize=15, bbox=dict(facecolor='yellow', alpha=0.5))
#Background Box Addition with opaque ratio

2) Y-axis labelling

plt.ylabel('Function')
#Default Labelling

plt.xlabel('Function', color='green')
#Colour Change

plt.xlabel('Function', color='Green', fontsize=15)
#Font Size Modification

plt.xlabel('Function', color='Green', fontsize=15, bbox=dict(facecolor='yellow', alpha=0.5))
#Background Box Addition with opaque ratio

Pythion program to demonstrate example of pyplot labelling

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(500)
y1 = np.arange(500)
for i in range(500):
    y1[i] = 2*x[i] + np.random.randint(0,56)

#x-axis labelling
#default 
plt.figure()
plt.plot(x,y1)
plt.xlabel('Number Line')

#Colour
plt.figure()
plt.plot(x,y1)
plt.xlabel('Number Line', color='green')

#size 
plt.figure()
plt.plot(x,y1)
plt.xlabel('Number Line', color='Green', fontsize=15)

#Background Box
plt.figure()
plt.plot(x,y1)
plt.xlabel('Number Line', color='Green', fontsize=15, bbox=dict(facecolor='yellow', alpha=0.5))

#y-axis labelling
#default 
plt.figure()
plt.plot(x,y1)
plt.ylabel('Function')

#Colour
plt.figure()
plt.plot(x,y1)
plt.ylabel('Function', color='g')

#size 
plt.figure()
plt.plot(x,y1)
plt.ylabel('Function', color='Green', fontsize=15)

#Background Box
plt.figure()
plt.plot(x,y1)
plt.ylabel('Function', color='Green', fontsize=15, bbox=dict(facecolor='yellow', alpha=0.5))

Output:

Output is as figure