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https://github.com/nschloe/dufte
:chart_with_upwards_trend: Minimalistic Matplotlib style
https://github.com/nschloe/dufte
matplotlib matplotlib-style-sheets matplotlib-styles plotting python
Last synced: about 16 hours ago
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:chart_with_upwards_trend: Minimalistic Matplotlib style
- Host: GitHub
- URL: https://github.com/nschloe/dufte
- Owner: nschloe
- License: mit
- Archived: true
- Created: 2020-04-19T13:13:53.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-12-02T12:22:02.000Z (almost 3 years ago)
- Last Synced: 2024-11-06T03:05:44.650Z (7 days ago)
- Topics: matplotlib, matplotlib-style-sheets, matplotlib-styles, plotting, python
- Language: Python
- Homepage:
- Size: 2.02 MB
- Stars: 216
- Watchers: 5
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# Deprecation
dufte as a stand-alone module has been deprecated and merged into [mplx](https://github.com/nschloe/mplx).
---
[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)This package creates clean and beautiful plots that work on light and dark backgrounds.
Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).To use, install with
```
pip install dufte
```and simply select the `dufte` style:
```python
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](tests/create_comparison.py) for how to create the below plots.
matplotlib
dufte withdufte.legend()
matplotlib
dufte
dufte withdufte.show_bar_values()
### Further reading and other styles
- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)Other styles
- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)Projects using dufte:
- [perfplot](https://github.com/nschloe/perfplot)
- [stargraph](https://github.com/nschloe/stargraph)### Background
[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
The position $`x_i`$ of the line annotations is computed as the solution of a
non-negative least-squares problem```math
\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.