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 a grid to improve readability. Grids are created by using grid() function in the Pyplot sublibrary. In this article, we will see how to add grid in Matplotlb.

Add a Grid on a Figure in Matplotlib

Below are the ways by which we can see how to add grid in Matplotlib in Python:

• Using scatter plot
• Using Plot()
• Using add_gridspec()

Add a Grid on a Figure in Matplotlib Using scatter()

In this example, the code uses the Matplotlib library to create a scatter plot of y = x^2 with points generated using NumPy. The first part uses the pyplot interface to create a scatter plot and grid on the y-axis. The second part creates a figure and axis explicitly, sets ticks on both the x and y axes, plots the scatter graph, and specifies the default grid on the figure.

Output:

Matplotlib Adding Grid Lines Using Plot()

In this example, the given code uses the Matplotlib library to create a line graph of the sine function. It defines an array 'x' from -5 to 5 with a step size of 0.01 and calculates 'y' as the sine of 2π times 'x'. The code then plots the line graph, sets a red dashed grid, and displays the plot.

Output:

Add a Matplotlib Grid on a Figure Using add_gridspec()

In this example, the code uses Matplotlib and add_gridspec() to create a figure with a 2x2 grid of subplots. It defines three subplots (line plot, scatter plot, and bar plot) within this grid and plots data on each. Additionally, it adds a dashed grid to all subplots, enhancing visualization. Finally, the `plt.show()` command displays the figure with the configured subplots.

Output: