Python Tutorials · Python Matplotlib

Matplotlib Labels

Learn all about Matplotlib Labels in this comprehensive tutorial.

5 min read intermediate

Matplotlib Line

Matplotlib Grid

•With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.
•With Pyplot, you can use the title() function to set a title for the plot.
•You can use the fontdict parameter in xlabel(), ylabel(), and title() to set font properties for the title and labels.
•You can use the loc parameter in title() to position the title.

Create Labels for a Plot

With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.

python

import numpy as npimport matplotlib.pyplot as pltx = np.array([80, 
  85, 90, 95, 100, 105, 110, 115, 120, 125])val_2 = np.array([240, 250, 260, 
  270, 280, 290, 300, 310, 320, 330])plt.plot(val_1, val_2)plt.xlabel("Average 
  Pulse")plt.ylabel("Calorie Burnage")plt.show()

Create a Title for a Plot

With Pyplot, you can use the title() function to set a title for the plot.

python

import numpy as npimport matplotlib.pyplot as pltx = np.array([80, 
  85, 90, 95, 100, 105, 110, 115, 120, 125])val_2 = np.array([240, 250, 260, 
  270, 280, 290, 300, 310, 320, 330])plt.plot(val_1, val_2)plt.title("Sports Watch Data")plt.xlabel("Average 
  Pulse")plt.ylabel("Calorie Burnage")plt.show()

Set Font Properties for Title and Labels

You can use the fontdict parameter in xlabel(), ylabel(), and title() to set font properties for the title and labels.

python

import numpy as npimport matplotlib.pyplot as pltx = np.array([80, 
  85, 90, 95, 100, 105, 110, 115, 120, 125])val_2 = np.array([240, 250, 260, 
  270, 280, 290, 300, 310, 320, 330])font1 = {'family':'serif','color':'blue','size':20}
  font2 = {'family':'serif','color':'darkred','size':15}plt.title("Sports 
  Watch Data", fontdict = font1)plt.xlabel("Average Pulse", fontdict = 
  font2)plt.ylabel("Calorie Burnage", fontdict = font2)plt.plot(val_1, 
  val_2)plt.show()

Position the Title

You can use the loc parameter in title() to position the title.

Legal values are: 'left', 'right', and 'center'. Default value is 'center'.

python

import numpy as npimport matplotlib.pyplot as pltx = np.array([80, 
  85, 90, 95, 100, 105, 110, 115, 120, 125])val_2 = np.array([240, 250, 260, 
  270, 280, 290, 300, 310, 320, 330])plt.title("Sports Watch Data", loc = 'left')plt.xlabel("Average 
  Pulse")plt.ylabel("Calorie Burnage")plt.plot(val_1, 
  val_2)plt.show()

Module quiz

2 questions

Which of the following is true about Matplotlib Labels?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with Matplotlib Labels?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.

Matplotlib Line

Matplotlib Grid

Matplotlib Labels

AI Summary

Create Labels for a Plot

Create a Title for a Plot

Set Font Properties for Title and Labels

Position the Title

Module quiz