By default, Matplotlib does not display gridlines on plots. However, you can use the matplotlib.pyplot.grid() function to easily display and customize gridlines on a plot.

This tutorial shows an example of how to use this function in practice.

**Basic Scatterplot in Matplotlib**

The following code shows how to create a simple scatterplot using Matplotlib:

import matplotlib.pyplot as plt #create data x = [1, 2, 3, 4, 5] y = [20, 25, 49, 88, 120] #create scatterplot of data plt.scatter(x, y) plt.show()

**Add Gridlines to Both Axes**

To add gridlines to the plot, we can simply use the **plt.grid(True)** command:

import matplotlib.pyplot as plt #create data x = [1, 2, 3, 4, 5] y = [20, 25, 49, 88, 120] #create scatterplot of data with gridlines plt.scatter(x, y) plt.grid(True) plt.show()

**Add Gridlines to Only One Axis**

We can use the **axis **argument to only add gridlines to the x-axis:

import matplotlib.pyplot as plt #create data x = [1, 2, 3, 4, 5] y = [20, 25, 49, 88, 120] #create scatterplot of data with gridlines plt.scatter(x, y) plt.grid(axis='x') plt.show()

Or only the y-axis:

import matplotlib.pyplot as plt #create data x = [1, 2, 3, 4, 5] y = [20, 25, 49, 88, 120] #create scatterplot of data with gridlines plt.scatter(x, y) plt.grid(axis='y') plt.show()

**Customize Gridlines**

We can also customize the appearance of the gridlines using the **plt.rc()** function:

import matplotlib.pyplot as plt #create data x = [1, 2, 3, 4, 5] y = [20, 25, 49, 88, 120] #create scatterplot of data with gridlines plt.rc('grid', linestyle=':', color='red', linewidth=2) plt.scatter(x, y) plt.grid(True) plt.show()

You can find a complete list of ways to customize the gridlines in the Matplotlib documentation.

**Additional Resources**

How to Remove Ticks from Matplotlib Plots

How to Change Font Sizes on a Matplotlib Plot