Matplotlib Marker - How To Create a Marker in Matplotlib

In this article, you'll learn how to use markers in Matplotlib to indicate specific points in a plot.

The marker parameter can be used to create "markers" in a plot. You can specify the shape of the marker by passing a value to the parameter.

Here's what a normal Matplotlib plot looks like:

import matplotlib.pyplot as plt
import numpy as np

x = [2,4,6,8]
y = [1,3,9,7]

plt.plot(x,y)
plt.show()

a matplotlib plot without a marker

Here's a plot with a marker:

import matplotlib.pyplot as plt
import numpy as np

x = [2,4,6,8]
y = [1,3,9,7]

plt.plot(x,y, marker = 'o')
plt.show()

a matplotlib plot with an "o" marker

As can be seen in the image above, every meeting point for both axis in the plot is denoted by a marker that looks like an circle.

We're able to do that by setting the value of the marker parameter to "0": plt.plot(x,y, marker = 'o').

List of Matplotlib Markers

Here is a list (from the Matplotlib documentation) of marker values that can be assigned to the marker parameter:

This list above shows the different values you can use to change the style of a marker in a plot.

Summary

In this article, we talked about markers in Matplotlib. They can be used to mark/indicate specific points in a plot.

We saw some code examples showing the application of the marker parameter.

Lastly, we saw a list of marker values that can be used to change the style of a marker.

Happy coding!