| Name | prettypyplot JSON |
| Version |
0.12.0
JSON |
| download |
| home_page | None |
| Summary | Wrapper for matplotlib to generate pretty plots. |
| upload_time | 2025-08-11 21:14:20 |
| maintainer | None |
| docs_url | None |
| author | braniii |
| requires_python | >=3.9 |
| license | None |
| keywords |
matplotlib
pyplot
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
<div align="center">
<img
src="https://raw.githubusercontent.com/braniii/prettypyplot/main/docs/gallery/images/logo_large.svg" width="500"
/>
<p>
<a href="https://zenodo.org/badge/latestdoi/350406950" alt="DOI">
<img src="https://zenodo.org/badge/350406950.svg" alt="DOI" /></a>
<a href="https://github.com/astral-sh/ruff" alt="wemake-python-styleguide" >
<img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" /></a>
<a href="https://github.com/braniii/prettypyplot/actions/workflows/pytest.yml" alt="Pytest" >
<img src="https://github.com/braniii/prettypyplot/actions/workflows/pytest.yml/badge.svg?branch=main" /></a>
<a href="https://codecov.io/gh/braniii/prettypyplot" alt="Code coverage">
<img src="https://codecov.io/gh/braniii/prettypyplot/branch/main/graph/badge.svg" /></a>
<a href="https://pypi.org/project/prettypyplot" alt="PyPI" >
<img src="https://img.shields.io/pypi/v/prettypyplot" /></a>
<a href="https://anaconda.org/conda-forge/prettypyplot" alt="conda version">
<img src="https://img.shields.io/conda/vn/conda-forge/prettypyplot" /></a>
<a href="https://pepy.tech/project/prettypyplot" alt="Downloads" >
<img src="https://pepy.tech/badge/prettypyplot" /></a>
<a href="https://img.shields.io/pypi/pyversions/prettypyplot" alt="PyPI - Python Version">
<img src="https://img.shields.io/pypi/pyversions/prettypyplot" /></a>
<a href="https://github.com/braniii/prettypyplot/-/blob/main/LICENSE" alt="PyPI - License" >
<img src="https://img.shields.io/pypi/l/prettypyplot" /></a>
<a href="https://braniii.github.io/prettypyplot" alt="Doc" >
<img src="https://img.shields.io/badge/mkdocs-Documentation-brightgreen" /></a>
</p>
<p>
<a href="https://braniii.github.io/prettypyplot">Docs</a> •
<a href="#features">Features</a> •
<a href="#Installation">Installation</a> •
<a href="https://braniii.github.io/prettypyplot/gallery">Gallery</a>
</p>
</div>
# prettypyplot
The documentation including an gallery can be found [here](https://braniii.github.io/prettypyplot).
This is a wrapper package for matplotlib to achieve more easily pretty figures.
If you are looking for something complete, this project is nothing for you
but maybe [seaborn](https://seaborn.pydata.org/). The main aspect of this
project is to help me syncing my rcParams files and to stop copy-pasting so
much code.
The aim of this project is to simplify the generation of some simple
pre-defined figures. Almost all code is inspired or taken from the
[matplotlib gallery](https://matplotlib.org/gallery/index.html). If you are a
power user or interested in generating complex figures, this packages is not
ment for you and you should better take a look in the matplotlib gallery
directly.
This project is in an alpha stage, hence it is neither stable nor ready for
production.
> **CAUTION**:
> Starting from version 1.0.0 (which is far in the future) API-breaking
> changes will be made only in major releases. Until then, it can be changed
> in every minor release (see [changelog](#changelog)).
## Features
The most notable features are:
- Tested with matplotlib `3.3`-`3.10`
- figsize specifies size of canvas. So labels, ticks or colorbars are not counted.
- Nice top-aligned outter legends
- New colors
## Usage
This package uses an syntax very close to matplotlib. Hence, it should be
straight forward to use it. Instead of calling a function on the axes itself,
one needs to pass here the axes as an argument (args or kwargs).
### Installation
```python
python3 -m pip install --upgrade prettypyplot
```
or
```python
conda install -c conda-forge prettypyplot
```
or for the latest dev version
```python
python3 -m pip install git+https://github.com/braniii/prettypyplot.git
```
### Usage
```python
import matplotlib.pyplot as plt
import prettypyplot as pplt
pplt.use_style()
fig, ax = plt.subplots()
...
pplt.plot(ax=ax, x, y)
pplt.savefig(output)
```
### Known Bugs
- `plt.subplots_adjust()` does not work with `pplt.savefig(use_canvas_size=True)`
If you find one, please open an issue.
- `pplt.savefig(use_canvas_size=True)` is not compatible with a grid of subplots
### Known Workarounds
The method `pyplot.subplots_adjust()` is not compatible with the option
`use_canvas_size` in `prettypyplot.plot.savefig`,
use instead:
```python
# this doesn't work, use instead gridspec
fig.subplots_adjust(hspace=0)
# use this instead
fig, axs = plt.subplots(..., gridspec_kw={'hspace': 0.000})
```
## Comparison to `matplotlib`
<table>
<tr width="700" valign="top">
<td>
<code>matplotlib.pyplot.plot</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/mpl_plot.png" width="350">
</td>
<td>
<code>prettypyplot.plot</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/default_plot.png" width="350">
</td>
</tr>
<tr width="700" valign="top">
<td>
<code>matplotlib.pyplot.legend</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/mpl_plot_legend.png" width="350">
</td>
<td>
<code>prettypyplot.legend</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/default_plot_legend.png" width="350">
</td>
</tr>
<tr width="700" valign="top">
<td>
<code>matplotlib.pyplot.imshow</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/mpl_imshow.png" width="350">
</td>
<td>
<code>prettypyplot.imshow</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/default_imshow.png" width="350">
</td>
</tr>
<tr width="700" valign="top">
<td>
<code>matplotlib.pyplot.colorbar</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/mpl_imshow_cbar.png" width="350">
</td>
<td>
<code>prettypyplot.colorbar</code><br>
<img src="https://braniii.github.io/prettypyplot/gallery/comparison/default_imshow_cbar.png" width="350">
</td>
</tr>
</table>
## Roadmap:
The following list is sorted from *near future* to *hopefully ever*.
- [x] add pytest
- [x] add search functionality in doc
- [x] refactoring code to improve readabilty
- [x] add package to conda_forge
- [x] add gallery page
- [x] improve `plt.suplots()` behaviour together with `pplt.savefig()`
- [ ] add more colorpalettes
- [ ] add countour line plot
- [ ] add [axes_grid](https://matplotlib.org/3.1.1/tutorials/toolkits/axes_grid.html) examples
- [ ] setup widths and scaling factors for beamer and poster mode
- [ ] tweak all function to enable `STYLE='minimal'`
- [ ] implement tufte style
## Building Documentation:
The doc is based on [mkdocs](https://mkdocs.org) and can be created by
```bash
# installing all dependencies
python -m pip install -e .[docs]
# serve interactively
python -m mkdocs serve
```
## Similar Projects
- [seaborn](https://seaborn.pydata.org/)
## Citing Prettypyplot
If you want to cite prettypyplot in scientific work please use:
> **Prettypyplot: publication ready matplotlib figures made simple**
> D. Nagel, **2022**. Zenodo:
> [10.5281/zenodo.7278312](https://doi.org/10.5281/zenodo.7278312)
## Credits:
In alphabetical order:
- [colorcyclepicker](https://colorcyclepicker.mpetroff.net/)
- [coolors](https://coolors.co/)
- [matplotlib](https://matplotlib.org/)
- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
- [realpython](https://realpython.com/)
- [viscm](https://github.com/matplotlib/viscm)
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"description": "<div align=\"center\">\n <img\n src=\"https://raw.githubusercontent.com/braniii/prettypyplot/main/docs/gallery/images/logo_large.svg\" width=\"500\"\n />\n\n <p>\n <a href=\"https://zenodo.org/badge/latestdoi/350406950\" alt=\"DOI\">\n <img src=\"https://zenodo.org/badge/350406950.svg\" alt=\"DOI\" /></a>\n <a href=\"https://github.com/astral-sh/ruff\" alt=\"wemake-python-styleguide\" >\n <img src=\"https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json\" /></a>\n <a href=\"https://github.com/braniii/prettypyplot/actions/workflows/pytest.yml\" alt=\"Pytest\" >\n <img src=\"https://github.com/braniii/prettypyplot/actions/workflows/pytest.yml/badge.svg?branch=main\" /></a>\n <a href=\"https://codecov.io/gh/braniii/prettypyplot\" alt=\"Code coverage\">\n <img src=\"https://codecov.io/gh/braniii/prettypyplot/branch/main/graph/badge.svg\" /></a>\n <a href=\"https://pypi.org/project/prettypyplot\" alt=\"PyPI\" >\n <img src=\"https://img.shields.io/pypi/v/prettypyplot\" /></a>\n <a href=\"https://anaconda.org/conda-forge/prettypyplot\" alt=\"conda version\">\n <img src=\"https://img.shields.io/conda/vn/conda-forge/prettypyplot\" /></a>\n <a href=\"https://pepy.tech/project/prettypyplot\" alt=\"Downloads\" >\n <img src=\"https://pepy.tech/badge/prettypyplot\" /></a>\n <a href=\"https://img.shields.io/pypi/pyversions/prettypyplot\" alt=\"PyPI - Python Version\">\n <img src=\"https://img.shields.io/pypi/pyversions/prettypyplot\" /></a>\n <a href=\"https://github.com/braniii/prettypyplot/-/blob/main/LICENSE\" alt=\"PyPI - License\" >\n <img src=\"https://img.shields.io/pypi/l/prettypyplot\" /></a>\n <a href=\"https://braniii.github.io/prettypyplot\" alt=\"Doc\" >\n <img src=\"https://img.shields.io/badge/mkdocs-Documentation-brightgreen\" /></a>\n </p>\n\n <p>\n <a href=\"https://braniii.github.io/prettypyplot\">Docs</a> \u2022\n <a href=\"#features\">Features</a> \u2022\n <a href=\"#Installation\">Installation</a> \u2022\n <a href=\"https://braniii.github.io/prettypyplot/gallery\">Gallery</a>\n </p>\n</div>\n\n\n\n# prettypyplot\n\nThe documentation including an gallery can be found [here](https://braniii.github.io/prettypyplot).\n\nThis is a wrapper package for matplotlib to achieve more easily pretty figures.\nIf you are looking for something complete, this project is nothing for you\nbut maybe [seaborn](https://seaborn.pydata.org/). The main aspect of this\nproject is to help me syncing my rcParams files and to stop copy-pasting so\nmuch code.\n\nThe aim of this project is to simplify the generation of some simple\npre-defined figures. Almost all code is inspired or taken from the\n[matplotlib gallery](https://matplotlib.org/gallery/index.html). If you are a\npower user or interested in generating complex figures, this packages is not\nment for you and you should better take a look in the matplotlib gallery\ndirectly.\n\nThis project is in an alpha stage, hence it is neither stable nor ready for\nproduction.\n> **CAUTION**:\n> Starting from version 1.0.0 (which is far in the future) API-breaking\n> changes will be made only in major releases. Until then, it can be changed\n> in every minor release (see [changelog](#changelog)).\n\n## Features\n\nThe most notable features are:\n\n- Tested with matplotlib `3.3`-`3.10`\n- figsize specifies size of canvas. So labels, ticks or colorbars are not counted.\n- Nice top-aligned outter legends\n- New colors\n\n## Usage\n\nThis package uses an syntax very close to matplotlib. Hence, it should be\nstraight forward to use it. Instead of calling a function on the axes itself,\none needs to pass here the axes as an argument (args or kwargs).\n\n### Installation\n\n```python\npython3 -m pip install --upgrade prettypyplot\n```\nor\n```python\nconda install -c conda-forge prettypyplot\n```\nor for the latest dev version\n```python\npython3 -m pip install git+https://github.com/braniii/prettypyplot.git\n```\n\n### Usage\n\n```python\nimport matplotlib.pyplot as plt\nimport prettypyplot as pplt\n\npplt.use_style()\nfig, ax = plt.subplots()\n...\npplt.plot(ax=ax, x, y)\npplt.savefig(output)\n```\n\n### Known Bugs\n\n- `plt.subplots_adjust()` does not work with `pplt.savefig(use_canvas_size=True)`\nIf you find one, please open an issue.\n- `pplt.savefig(use_canvas_size=True)` is not compatible with a grid of subplots\n\n### Known Workarounds\n\nThe method `pyplot.subplots_adjust()` is not compatible with the option\n`use_canvas_size` in `prettypyplot.plot.savefig`,\nuse instead:\n```python\n# this doesn't work, use instead gridspec\nfig.subplots_adjust(hspace=0)\n# use this instead\nfig, axs = plt.subplots(..., gridspec_kw={'hspace': 0.000})\n```\n\n## Comparison to `matplotlib`\n\n<table>\n <tr width=\"700\" valign=\"top\">\n <td>\n <code>matplotlib.pyplot.plot</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/mpl_plot.png\" width=\"350\">\n </td>\n <td>\n <code>prettypyplot.plot</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/default_plot.png\" width=\"350\">\n </td>\n </tr>\n <tr width=\"700\" valign=\"top\">\n <td>\n <code>matplotlib.pyplot.legend</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/mpl_plot_legend.png\" width=\"350\">\n </td>\n <td>\n <code>prettypyplot.legend</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/default_plot_legend.png\" width=\"350\">\n </td>\n </tr>\n <tr width=\"700\" valign=\"top\">\n <td>\n <code>matplotlib.pyplot.imshow</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/mpl_imshow.png\" width=\"350\">\n </td>\n <td>\n <code>prettypyplot.imshow</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/default_imshow.png\" width=\"350\">\n </td>\n </tr>\n <tr width=\"700\" valign=\"top\">\n <td>\n <code>matplotlib.pyplot.colorbar</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/mpl_imshow_cbar.png\" width=\"350\">\n </td>\n <td>\n <code>prettypyplot.colorbar</code><br>\n <img src=\"https://braniii.github.io/prettypyplot/gallery/comparison/default_imshow_cbar.png\" width=\"350\">\n </td>\n </tr>\n</table>\n\n## Roadmap:\n\nThe following list is sorted from *near future* to *hopefully ever*.\n\n- [x] add pytest\n- [x] add search functionality in doc\n- [x] refactoring code to improve readabilty\n- [x] add package to conda_forge\n- [x] add gallery page\n- [x] improve `plt.suplots()` behaviour together with `pplt.savefig()`\n- [ ] add more colorpalettes\n- [ ] add countour line plot\n- [ ] add [axes_grid](https://matplotlib.org/3.1.1/tutorials/toolkits/axes_grid.html) examples\n- [ ] setup widths and scaling factors for beamer and poster mode\n- [ ] tweak all function to enable `STYLE='minimal'`\n- [ ] implement tufte style\n\n## Building Documentation:\n\nThe doc is based on [mkdocs](https://mkdocs.org) and can be created by\n```bash\n# installing all dependencies\npython -m pip install -e .[docs]\n\n# serve interactively\npython -m mkdocs serve\n```\n\n## Similar Projects\n\n- [seaborn](https://seaborn.pydata.org/)\n\n## Citing Prettypyplot\n\nIf you want to cite prettypyplot in scientific work please use:\n> **Prettypyplot: publication ready matplotlib figures made simple** \n> D. 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