Another way to change the colors is to change the colormap of the chart you are plotting.

This will give you a list of colors in RGBA format.

viridis = cm.get_cmap('viridis', 8)

How to use the color map

Here is an example on how to use the color map with a scatter plot.

fig, axes = plt.subplots(1,1, figsize=(6,4))
axes.scatter(range(8), range(8), c=range(8), cmap=viridis)
fig.tight_layout()
plt.show()

By specifying the colormap (cmap) you give Matplotlib the reference colors.

Further, by specifying the color (c) parameters, you tell Matplotlib which color index he should use for the points we have.

The result

Here you are! You now know how to use a colormap!

More on plots

If you want to know more about how to add labels, plot different types of plots, etc... check out the other articles I wrote on the topic, just here :

Matplotlib - The Python You Need

We gathered the only Python essentials that you will probably ever need.

The Python You Need