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How to add a grid on a figure in Matplotlib ?
  • Difficulty Level : Basic
  • Last Updated : 03 Jan, 2021

Matplotlib library is widely used for plotting graphs. In many graphs, we require to have grid to improve readability. Grids are created by using grid() function in pyplot sub library.

grid() : Configure the grid lines.

Syntax:

matplotlib.pyplot.grid(b=None, which=’major’, axis=’both’, **kwargs)

Parameters:



  • b: bool or None, optional parameter for Whether to show the grid lines.
  • which : {‘major’, ‘minor’, ‘both’}, optional. It specifies the grid lines to apply the changes on.
  • axis : {‘both’, ‘x’, ‘y’}, optional. The axis to apply the changes on.
  • **kwargs : Optional. Specify Line properties such as color, line style, line width, etc.

Steps:

  • Plot a graph
  • Specify grid using pyplot.grid() method.

Example 1:

Python3




import matplotlib.pyplot as plt
import numpy
  
# Define x and y
x = numpy.arange(0, 1, 0.1)
y = numpy.power(x, 2)
  
# Plot graph
plt.scatter(x, y)
  
# Define grid with axis='y'
plt.grid(axis='y')
plt.show()
  
# Define a figure
fig = plt.figure()
ax = fig.gca()
  
# Set labels on x and y axis of figure
ax.set_xticks(numpy.arange(0, 1, 0.1))
ax.set_yticks(numpy.arange(0, 1, 0.1))
  
# Plot the graph
ax.scatter(x, y)
  
# Specify default grid on figure
ax.grid()
ax.show()

Output:

Example 2:

Python3




import matplotlib.pyplot as plt
import numpy as np
  
# Define x and y
x = np.arange(-5, 5, 0.01)
y = np.sin(2*np.pi*x)
  
# Plot line graph
plt.plot(x, y)
  
# Specify grid with line attributes
plt.grid(color='r', linestyle='--')
  
# Disply the plot
plt.show()

Output:


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