Matplotlib Tutorial #5: Plot Marker Customization

In this blog, I will show you how to make your plot more interesting with plot marker customization.

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Marker Style

In Matplotlib, the marker refers to the points that are being plotted in the plot. The default plot method does not include a marker in the plot, therefore the output will look like this

import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([0, 1, 2, 3, 5, 6])
ypoints = np.array([0, 1, 2, 3, 5, 6])

plt.plot(xpoints, ypoints)
plt.show()

That produces the following output

By passing optional argument marker with certain value, you can make mark each of your point like the following

import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([0, 1, 2, 3, 5, 6])
ypoints = np.array([0, 1, 2, 3, 5, 6])

plt.plot(xpoints, ypoints, marker='o')
plt.show()

That produces the following output

As I mention previously, optional argument marker will hold a certain value, and you can reference that value from here

Marker Size

You can use the keyword argument markersize or the shorter version, ms to set the size of the markers

import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([0, 1, 2, 3, 5, 6])
ypoints = np.array([0, 1, 2, 3, 5, 6])

plt.plot(xpoints, ypoints, marker='o', markersize=15)
plt.show()

Which produces the following output

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There you go, that is how you can customize your marker in plot. Thank you for reading this blog and have a nice day!