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21 changes: 21 additions & 0 deletions .eggs/plotly-5.11.0-py3.9.egg/EGG-INFO/LICENSE.txt
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The MIT License (MIT)

Copyright (c) 2016-2018 Plotly, Inc

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
224 changes: 224 additions & 0 deletions .eggs/plotly-5.11.0-py3.9.egg/EGG-INFO/PKG-INFO
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Metadata-Version: 2.1
Name: plotly
Version: 5.11.0
Summary: An open-source, interactive data visualization library for Python
Home-page: https://plotly.com/python/
Author: Chris P
Author-email: chris@plot.ly
Maintainer: Nicolas Kruchten
Maintainer-email: nicolas@plot.ly
License: MIT
Project-URL: Github, https://github.com/plotly/plotly.py
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: tenacity (>=6.2.0)

# plotly.py

<table>
<tr>
<td>Latest Release</td>
<td>
<a href="https://pypi.org/project/plotly/"/>
<img src="https://badge.fury.io/py/plotly.svg"/>
</td>
</tr>
<tr>
<td>User forum</td>
<td>
<a href="https://community.plotly.com/"/>
<img src="https://img.shields.io/badge/help_forum-discourse-blue.svg"/>
</td>
</tr>
<tr>
<td>PyPI Downloads</td>
<td>
<a href="https://pepy.tech/project/plotly"/>
<img src="https://pepy.tech/badge/plotly/month"/>
</td>
</tr>
<tr>
<td>License</td>
<td>
<a href="https://opensource.org/licenses/MIT"/>
<img src="https://img.shields.io/badge/License-MIT-yellow.svg"/>
</td>
</tr>
</table>

## Quickstart

`pip install plotly==5.11.0`

Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):

```python
import plotly.express as px
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
fig.show()
```

See the [Python documentation](https://plotly.com/python/) for more examples.


## Overview

[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:

Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.

`plotly.py` is [MIT Licensed](https://github.com/plotly/plotly.py/blob/master/LICENSE.txt). Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or integrated into [Dash applications](https://dash.plotly.com/).

[Contact us](https://plotly.com/consulting-and-oem/) for consulting, dashboard development, application integration, and feature additions.

<p align="center">
<a href="https://plotly.com/python/" target="_blank">
<img src="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/plotly_2017.png">
</a></p>

---

- [Online Documentation](https://plotly.com/python/)
- [Contributing to plotly](https://github.com/plotly/plotly.py/blob/master/contributing.md)
- [Changelog](https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md)
- [Code of Conduct](https://github.com/plotly/plotly.py/blob/master/CODE_OF_CONDUCT.md)
- [Version 4 Migration Guide](https://plotly.com/python/v4-migration/)
- [New! Announcing Dash 1.0](https://medium.com/plotly/welcoming-dash-1-0-0-f3af4b84bae)
- [Community forum](https://community.plotly.com)

---

## Installation

plotly.py may be installed using pip...

```
pip install plotly==5.11.0
```

or conda.

```
conda install -c plotly plotly=5.11.0
```

### JupyterLab Support

For use in [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/), install the `jupyterlab` and `ipywidgets`
packages using `pip`:

```
pip install "jupyterlab>=3" "ipywidgets>=7.6"
```

or `conda`:

```
conda install "jupyterlab>=3" "ipywidgets>=7.6"
```

The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**, run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):

```
# JupyterLab 2.x renderer support
jupyter labextension install jupyterlab-plotly@5.11.0 @jupyter-widgets/jupyterlab-manager
```

Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.

### Jupyter Notebook Support

For use in the Jupyter Notebook, install the `notebook` and `ipywidgets`
packages using `pip`:

```
pip install "notebook>=5.3" "ipywidgets>=7.5"
```

or `conda`:

```
conda install "notebook>=5.3" "ipywidgets>=7.5"
```

### Static Image Export

plotly.py supports [static image export](https://plotly.com/python/static-image-export/),
using either the [`kaleido`](https://github.com/plotly/Kaleido)
package (recommended, supported as of `plotly` version 4.9) or the [orca](https://github.com/plotly/orca)
command line utility (legacy as of `plotly` version 4.9).

#### Kaleido

The [`kaleido`](https://github.com/plotly/Kaleido) package has no dependencies and can be installed
using pip...

```
pip install -U kaleido
```

or conda.

```
conda install -c conda-forge python-kaleido
```

#### Orca

While Kaleido is now the recommended image export approach because it is easier to install
and more widely compatible, [static image export](https://plotly.com/python/static-image-export/)
can also be supported
by the legacy [orca](https://github.com/plotly/orca) command line utility and the
[`psutil`](https://github.com/giampaolo/psutil) Python package.

These dependencies can both be installed using conda:

```
conda install -c plotly plotly-orca==1.3.1 psutil
```

Or, `psutil` can be installed using pip...

```
pip install psutil
```

and orca can be installed according to the instructions in the [orca README](https://github.com/plotly/orca).


### Extended Geo Support

Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate `plotly-geo` package. This package can be installed using pip...

```
pip install plotly-geo==1.0.0
```

or conda

```
conda install -c plotly plotly-geo=1.0.0
```

## Migration

If you're migrating from plotly.py v3 to v4, please check out the [Version 4 migration guide](https://plotly.com/python/v4-migration/)

If you're migrating from plotly.py v2 to v3, please check out the [Version 3 migration guide](https://github.com/plotly/plotly.py/blob/master/migration-guide.md)

## Copyright and Licenses

Code and documentation copyright 2019 Plotly, Inc.

Code released under the [MIT license](https://github.com/plotly/plotly.py/blob/master/LICENSE.txt).

Docs released under the [Creative Commons license](https://github.com/plotly/documentation/blob/source/LICENSE).
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