Python Tutorials · Python Matplotlib

Matplotlib Grid

Learn all about Matplotlib Grid in this comprehensive tutorial.

5 min read intermediate

Matplotlib Labels

Matplotlib Subplot

•With Pyplot, you can use the grid() function to add grid lines to the plot.
•You can use the axis parameter in the grid() function to specify which grid lines to display.
•You can also set the line properties of the grid, like this: grid(color = 'color', linestyle = 'linestyle', linewidth = number).

Add Grid Lines to a Plot

With Pyplot, you can use the grid() function to add grid lines to 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.title("Sports Watch Data")
  plt.xlabel("Average Pulse")plt.ylabel("Calorie Burnage")plt.plot(val_1, 
  val_2)plt.grid()plt.show()

Specify Which Grid Lines to Display

You can use the axis parameter in the grid() function to specify which grid lines to display.

Legal values are: 'x', 'y', and 'both'. Default value is 'both'.

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")
  plt.xlabel("Average Pulse")plt.ylabel("Calorie Burnage")plt.plot(val_1, 
  val_2)plt.grid(axis = 'val_1')plt.show()

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")
  plt.xlabel("Average Pulse")plt.ylabel("Calorie Burnage")plt.plot(val_1, 
  val_2)plt.grid(axis = 'val_2')plt.show()

Set Line Properties for the Grid

You can also set the line properties of the grid, like this: grid(color = 'color', linestyle = 'linestyle', linewidth = number).

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")plt.xlabel("Average 
  Pulse")plt.ylabel("Calorie Burnage")plt.plot(val_1, 
  val_2)plt.grid(color = 'green', linestyle = '--', linewidth = 0.5)plt.show()

Module quiz

2 questions

Which of the following is true about Matplotlib Grid?

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

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

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.

Matplotlib Labels

Matplotlib Subplot

Matplotlib Grid

AI Summary

Add Grid Lines to a Plot

Specify Which Grid Lines to Display

Set Line Properties for the Grid

Module quiz