How do I revert to the old style of matplotlib.pyplot?

Question

I recently resumed to work on a project and noticed that when I recreated a plot via matplotlib.pyplot, the default style has changed. This is a plot that was made earlier: The plot that was made before the change And this is how it currently produces plots: The plot that was made today I want to use the same style across all my plots, but changing all my old plots to this new style would take a lot of work. Is there a way I can change the style back to the old style? I just use the normal plot function without any parameters (except for the color of each line).

This is my code: (both plots were made with this code, the only difference is when it was run)

colors=['red', 'blue', 'green', 'yellow', 'cyan', 'black', 'gray', 'orange', 'brown']
for i in range(len(pos)):
    plt.plot(leps[i], pos[i], color=colors[i%len(colors)], label="k: "+str(cubes[i])[:3])
    plt.legend()
    plt.xlabel("number of elements")
    plt.ylabel("quality of classification")

plt.show()

Side note: you shouldn't go out of your way to use colours that are hostile to colourblind people. Matplotlib makes it a point to default to colours that are more suitable for audiences who might have colour deficiencies. This is especially true for colourmaps; I hope you don't also use jet (which is also bad for people without colourblindness). — Andras Deak -- Слава Україні
– Andras Deak -- Слава Україні, Commented Sep 10 at 14:15
Matplotlib's default style currently look like this: matplotlib.org/stable/users/explain/… The style change you are concerned about is likely coming from a local configuration setting somewhere. — RuthC
– RuthC, Commented Sep 10 at 15:02

Abdul_Basit · Accepted Answer · 2025-09-10 13:56:01Z

1

Now the matplotlibs has changed to a bit modern style that is why you are seeing difference in the plots. Although you can still use the old style of plots using this line in your code -

plt.style.use('classic')

answered Sep 10 at 13:56

Abdul_Basit

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