Clean matplotlib plots
Project description
Deprecation
dufte as a stand-alone module has been deprecated and merged into mplx.
This package creates clean and beautiful plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte.
To use, install with
pip install dufte
and simply select the dufte
style:
import dufte
import matplotlib.pyplot as plt
# global setting:
plt.style.use(dufte.style)
# with a context manager:
with plt.style.context(dufte.style_bar):
# ...
pass
Check out dufte.legend()
, dufte.ylabel()
, and dufte.show_bar_values()
for more
duftiness.
Comparison with default Matplotlib
See here for how to create the below plots.
matplotlib | dufte with dufte.legend() |
matplotlib | dufte | dufte with dufte.show_bar_values() |
Further reading and other styles
Other styles
- John Garrett, Science Plots
- Dominik Haitz, Cyberpunk style
- Dominik Haitz, Matplotlib stylesheets
- Carlos da Costa, The Grand Budapest Hotel
- Danny Antaki, vaporwave aesthetics
- QuantumBlack Labs, QuantumBlack
Projects using dufte:
Background
The position $x_i
$ of the line annotations is computed as the solution of a
non-negative least-squares problem
\begin{align}
\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
\end{align}
where $a
$ is the minimum distance between two entries and $t_i
$ is the target
position.
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