Metadata-Version: 2.1
Name: dewloosh.mpl
Version: 0.0.4
Summary: Domain spceific data visualization with matplotlib.
Home-page: https://github.com/dewloosh/dewloosh-mpl
Author: Bence Balogh
Author-email: dewloosh@gmail.com
License: UNKNOWN
Download-URL: https://github.com/dewloosh/dewloosh-mpl/archive/refs/tags/0.0.4.zip
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7, <3.11
Description-Content-Type: text/markdown
Requires-Dist: setuptools
Requires-Dist: wheel
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: dewloosh.core
Requires-Dist: neumann
Requires-Dist: polymesh
Requires-Dist: pyvista

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dewloosh/dewloosh-mpl/main?labpath=notebooks%5Cbasic.ipynb)
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[![Documentation Status](https://readthedocs.org/projects/dewloosh-mpl/badge/?version=latest)](https://dewloosh-mpl.readthedocs.io/en/latest/?badge=latest) 
[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI](https://badge.fury.io/py/dewloosh-mpl.svg)](https://pypi.org/project/dewloosh-mpl) 

# **dewloosh.mpl** - Domain specific data visualization with Matplotlib

This a lightweight library serving as a place to gather code snippets for
working with matplotlib. The uses cases are usually domain specific, likely to be related
to other dewloosh projects.

## **Documentation**

Click [here](https://dewloosh-mpl.readthedocs.io/en/latest/) to read the documentation.

## **Installation**
This is optional, but we suggest you to create a dedicated virtual enviroment at all times to avoid conflicts with your other projects. Create a folder, open a command shell in that folder and use the following command

```console
>>> python -m venv venv_name
```

Once the enviroment is created, activate it via typing

```console
>>> .\venv_name\Scripts\activate
```

`latexdocs` can be installed (either in a virtual enviroment or globally) from PyPI using `pip` on Python >= 3.7:

```console
>>> pip install dewloosh.mpl
```

## **License**

Copyright 2022 Bence Balogh, under [the MIT license](https://github.com/dewloosh/latexdocs/blob/master/LICENSE).

