akasharidas / dark-matplotlib-styles

Collection of dark styles for Matplotlib

Dark styles for Matplotlib

As a dark mode lover, I find the default Matplotlib dark plot unsatisfactory. So this is a collection of good dark themes for Matplotlib that I found on GitHub, along with installation instructions and usage snippets.

Note: The line %config InlineBackend.figure_format = 'retina' is optional but it makes your plots high resolution in Jupyter notebooks.

1. Quantum Black

Source: https://github.com/quantumblacklabs/qbstyles

Installation

pip install qbstyles

Usage

import matplotlib.pyplot as plt
import seaborn as sns
%config InlineBackend.figure_format = 'retina'
from qbstyles import mpl_style
mpl_style(dark=True)

#Plot here

You can change dark=True to dark=False for a good light theme, but why would you ever do that?

2. Pitaya Smoothie

Source: https://github.com/dhaitz/matplotlib-stylesheets

Usage

import matplotlib.pyplot as plt
import seaborn as sns
%config InlineBackend.figure_format = 'retina'
plt.style.use('https://github.com/dhaitz/matplotlib-stylesheets/raw/master/pitayasmoothie-dark.mplstyle')

##Plot here

3. Cyberpunk

Source: https://github.com/dhaitz/mplcyberpunk

Installation

pip install mplcyberpunk

Usage

import matplotlib.pyplot as plt
import seaborn as sns
%config InlineBackend.figure_format = 'retina'
import mplcyberpunk
plt.style.use('cyberpunk')

#Plot here

mplcyberpunk.add_glow_effects()

4. Material Darker

Source: https://github.com/lewlin/material_darker_mpl

Installation

1. Download material_darker.mplstyle from the linked repo into ~/.matplotlib/stylelib/ (create folder if necessary).
2. Make sure that ~/.matplotlib/stylelib/ is listed in the output of sys.path (callable from iPython).

Usage

import matplotlib.pyplot as plt
import seaborn as sns
%config InlineBackend.figure_format = 'retina'
plt.style.use('material_darker')

#Plot here

5. Default dark background

Usage

import matplotlib.pyplot as plt
import seaborn as sns
%config InlineBackend.figure_format = 'retina'
plt.style.use('dark_background')

#Plot here