pltpublish

Name	pltpublish JSON
Version	1.0.3 JSON
	download
home_page	https://github.com/Theomat/pltpublish
Summary	Utility package that takes care of configuring Matplotlib for publication-ready figures!
upload_time	2024-08-15 14:13:35
maintainer	None
docs_url	None
author	Théo Matricon
requires_python	>=3.7.1
license	MIT
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # pltpublish

This project on [PyPi](https://pypi.org/project/pltpublish/)|[GitHub](https://github.com/Theomat/pltpublish).

Utility package that takes care of configuring Matplotlib for publication-ready figures!

```bash
pip install pltpublish
```

**Before**                            **After**

```python
                                                  > import pltpublish as pub
                                                  > pub.setup()
# your plot code using plt                        > # your plot code using plt
plt.savefig("my_fig.eps")                         > pub.save_fig("my_fig.eps")
```

|**Without `pltpublish`**|**With `pltpublish`**|
|-|-|
| <img src="https://github.com/Theomat/pltpublish/raw/main/examples/images/classic.png" width="400" height="300">|<img src="https://github.com/Theomat/pltpublish/raw/main/examples/images/pltpublish.png" width="400" height="300"> |

## Recommendation

If you are using LaTeX then perhaps [TikzPlotLib](https://github.com/nschloe/tikzplotlib) will be highly relevant.

## All Features

- `setup` calls all `setup_*` methods
- `setup_colorblind` configures matplotlib to use a colorblind palette
- `setup_latex_fonts` configures matplotlib to use LaTeX fonts
- `set_size_pixels` enables to set the size of an existing figure in pixels
- `save_fig` acts like `pyplot.savefig` but guarantees that the grid is on and removes outer white space and also enables to scale up or down the figure before saving
- `extract_legend_as_figure` extracts the legend of your figure and plots it on another new figure
- `layout_for_subplots` finds automatically a good layout given the number of plots you have to plot on the same figure
- `get_color_cycle` gets you the current default color cycle
- `set_color_cycle` sets the current default color cycle


            

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    "description": "# pltpublish\n\nThis project on [PyPi](https://pypi.org/project/pltpublish/)|[GitHub](https://github.com/Theomat/pltpublish).\n\nUtility package that takes care of configuring Matplotlib for publication-ready figures!\n\n```bash\npip install pltpublish\n```\n\n**Before**\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003\u2003**After**\n\n```python\n                                                  > import pltpublish as pub\n                                                  > pub.setup()\n# your plot code using plt                        > # your plot code using plt\nplt.savefig(\"my_fig.eps\")                         > pub.save_fig(\"my_fig.eps\")\n```\n\n|**Without `pltpublish`**|**With `pltpublish`**|\n|-|-|\n| <img src=\"https://github.com/Theomat/pltpublish/raw/main/examples/images/classic.png\" width=\"400\" height=\"300\">|<img src=\"https://github.com/Theomat/pltpublish/raw/main/examples/images/pltpublish.png\" width=\"400\" height=\"300\"> |\n\n## Recommendation\n\nIf you are using LaTeX then perhaps [TikzPlotLib](https://github.com/nschloe/tikzplotlib) will be highly relevant.\n\n## All Features\n\n- `setup` calls all `setup_*` methods\n- `setup_colorblind` configures matplotlib to use a colorblind palette\n- `setup_latex_fonts` configures matplotlib to use LaTeX fonts\n- `set_size_pixels` enables to set the size of an existing figure in pixels\n- `save_fig` acts like `pyplot.savefig` but guarantees that the grid is on and removes outer white space and also enables to scale up or down the figure before saving\n- `extract_legend_as_figure` extracts the legend of your figure and plots it on another new figure\n- `layout_for_subplots` finds automatically a good layout given the number of plots you have to plot on the same figure\n- `get_color_cycle` gets you the current default color cycle\n- `set_color_cycle` sets the current default color cycle\n\n",
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