Clean matplotlib plots
Project description
This package creates clean and beautiful plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte.
To use, 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:
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.
Testing
To run the dufte unit tests, check out this repository and type
pytest
Other style sheets and further reading
Project details
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