How to add a grid on a figure in Matplotlib ?
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 pltimport numpy # Define x and yx = numpy.arange(0, 1, 0.1)y = numpy.power(x, 2) # Plot graphplt.scatter(x, y) # Define grid with axis='y'plt.grid(axis='y')plt.show() # Define a figurefig = plt.figure()ax = fig.gca() # Set labels on x and y axis of figureax.set_xticks(numpy.arange(0, 1, 0.1))ax.set_yticks(numpy.arange(0, 1, 0.1)) # Plot the graphax.scatter(x, y) # Specify default grid on figureax.grid()ax.show() |
Output:
Example 2:
Python3
import matplotlib.pyplot as pltimport numpy as np # Define x and yx = np.arange(-5, 5, 0.01)y = np.sin(2*np.pi*x) # Plot line graphplt.plot(x, y) # Specify grid with line attributesplt.grid(color='r', linestyle='--') # Disply the plotplt.show() |
Output:
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