This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds

Related tags

Data Visualizationpythonmatplotlibplottingmatplotlib-styles
Overview

dufte-logo

Da kiekste, wa?

PyPi Version Anaconda Cloud PyPI pyversions GitHub stars PyPi downloads

gh-actions codecov LGTM Code style: black

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

xdoc

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

License

This software is published under the GPLv3 license.

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Comments
  • Bottom Spine and Log Tick Locations

    Bottom Spine and Log Tick Locations

    First of all - congrats on your great module perfplot that uses this style. Although I myself am a great fan of removing chartjunk I guess that less in sometimes more even in trying to do less that is indeed more in many cases.

    What I mean is that removing the bottom spine (and left spine if no gridlines are used) and using only sparse tick labels doesn't increase readability, on contrary it can make things much worse:

    import dufte
import matplotlib
import matplotlib.pyplot as plt

matplotlib.style.use(dufte.style)

plt.xscale('log')
plt.yscale('log')
plt.plot([15,50,95], [11,90,95])
plt.title('dufte style')
plt.tight_layout()

         



    I admit this is a specifically constructed minimal example but the reason behind it is that I ended up with such a perfplot where we have just one grid line in the middle of the chart (kind of visually dividing the chart into two halves) and a single x tick label floating in the middle of free space. grafik.

    So my proposal is

    • always show the bottom spine (easy)
    • adjust the tick locators for log scales (I don't have a universal idea but the goal is to always have more than just one single number which is quite meaningless as you don't have a reference, you can't assess the scale of the whole axis).
    opened by StefRe 5
  • use of dufte with tikzplotlib?

    use of dufte with tikzplotlib?

    I have been using your tikzplotlib for a while and just discovered dufte! Very nice!

    I would like to use this with tikzplotlib to get the legend style here. Am I missing the command or does this indeed not work?

    opened by e-dub 2
Releases(v0.2.29)
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Nico Schlömer
Mathematics, numerical analysis, scientific computing, Python. Always interested in new problems.
Nico Schlömer
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