229 lines
6.9 KiB
Plaintext
229 lines
6.9 KiB
Plaintext
Metadata-Version: 2.1
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Name: plotly
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Version: 5.18.0
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Summary: An open-source, interactive data visualization library for Python
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Home-page: https://plotly.com/python/
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Author: Chris P
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Author-email: chris@plot.ly
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Maintainer: Nicolas Kruchten
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Maintainer-email: nicolas@plot.ly
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License: MIT
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Project-URL: Github, https://github.com/plotly/plotly.py
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Topic :: Scientific/Engineering :: Visualization
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Classifier: License :: OSI Approved :: MIT License
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Requires-Python: >=3.6
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Description-Content-Type: text/markdown
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License-File: LICENSE.txt
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Requires-Dist: tenacity >=6.2.0
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Requires-Dist: packaging
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# plotly.py
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<table>
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<tr>
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<td>Latest Release</td>
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<td>
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<a href="https://pypi.org/project/plotly/"/>
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<img src="https://badge.fury.io/py/plotly.svg"/>
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</td>
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</tr>
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<tr>
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<td>User forum</td>
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<td>
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<a href="https://community.plotly.com/"/>
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<img src="https://img.shields.io/badge/help_forum-discourse-blue.svg"/>
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</td>
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</tr>
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<tr>
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<td>PyPI Downloads</td>
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<td>
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<a href="https://pepy.tech/project/plotly"/>
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<img src="https://pepy.tech/badge/plotly/month"/>
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</td>
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</tr>
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<tr>
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<td>License</td>
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<td>
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<a href="https://opensource.org/licenses/MIT"/>
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<img src="https://img.shields.io/badge/License-MIT-yellow.svg"/>
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</td>
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</tr>
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</table>
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## Quickstart
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`pip install plotly==5.18.0`
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Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
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```python
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import plotly.express as px
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fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
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fig.show()
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```
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See the [Python documentation](https://plotly.com/python/) for more examples.
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## Overview
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[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:
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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.
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`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/).
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[Contact us](https://plotly.com/consulting-and-oem/) for consulting, dashboard development, application integration, and feature additions.
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<p align="center">
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<a href="https://plotly.com/python/" target="_blank">
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<img src="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/plotly_2017.png">
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</a></p>
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---
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- [Online Documentation](https://plotly.com/python/)
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- [Contributing to plotly](https://github.com/plotly/plotly.py/blob/master/contributing.md)
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- [Changelog](https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md)
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- [Code of Conduct](https://github.com/plotly/plotly.py/blob/master/CODE_OF_CONDUCT.md)
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- [Version 4 Migration Guide](https://plotly.com/python/v4-migration/)
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- [New! Announcing Dash 1.0](https://medium.com/plotly/welcoming-dash-1-0-0-f3af4b84bae)
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- [Community forum](https://community.plotly.com)
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---
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## Installation
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plotly.py may be installed using pip...
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```
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pip install plotly==5.18.0
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```
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or conda.
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```
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conda install -c plotly plotly=5.18.0
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```
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### JupyterLab Support
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For use in [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/), install the `jupyterlab` and `ipywidgets`
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packages using `pip`:
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```
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pip install "jupyterlab>=3" "ipywidgets>=7.6"
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```
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or `conda`:
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```
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conda install "jupyterlab>=3" "ipywidgets>=7.6"
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```
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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):
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```
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# JupyterLab 2.x renderer support
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jupyter labextension install jupyterlab-plotly@5.18.0 @jupyter-widgets/jupyterlab-manager
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```
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Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.
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### Jupyter Notebook Support
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For use in the Jupyter Notebook, install the `notebook` and `ipywidgets`
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packages using `pip`:
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```
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pip install "notebook>=5.3" "ipywidgets>=7.5"
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```
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or `conda`:
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```
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conda install "notebook>=5.3" "ipywidgets>=7.5"
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```
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### Static Image Export
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plotly.py supports [static image export](https://plotly.com/python/static-image-export/),
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using either the [`kaleido`](https://github.com/plotly/Kaleido)
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package (recommended, supported as of `plotly` version 4.9) or the [orca](https://github.com/plotly/orca)
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command line utility (legacy as of `plotly` version 4.9).
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#### Kaleido
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The [`kaleido`](https://github.com/plotly/Kaleido) package has no dependencies and can be installed
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using pip...
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```
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pip install -U kaleido
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```
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or conda.
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```
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conda install -c conda-forge python-kaleido
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```
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#### Orca
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While Kaleido is now the recommended image export approach because it is easier to install
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and more widely compatible, [static image export](https://plotly.com/python/static-image-export/)
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can also be supported
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by the legacy [orca](https://github.com/plotly/orca) command line utility and the
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[`psutil`](https://github.com/giampaolo/psutil) Python package.
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These dependencies can both be installed using conda:
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```
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conda install -c plotly plotly-orca==1.3.1 psutil
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```
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Or, `psutil` can be installed using pip...
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```
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pip install psutil
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```
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and orca can be installed according to the instructions in the [orca README](https://github.com/plotly/orca).
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### Extended Geo Support
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Some plotly.py features rely on fairly large geographic shape files. The county
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choropleth figure factory is one such example. These shape files are distributed as a
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separate `plotly-geo` package. This package can be installed using pip...
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```
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pip install plotly-geo==1.0.0
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```
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or conda
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```
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conda install -c plotly plotly-geo=1.0.0
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```
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## Migration
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If you're migrating from plotly.py v3 to v4, please check out the [Version 4 migration guide](https://plotly.com/python/v4-migration/)
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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)
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## Copyright and Licenses
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Code and documentation copyright 2019 Plotly, Inc.
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Code released under the [MIT license](https://github.com/plotly/plotly.py/blob/master/LICENSE.txt).
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Docs released under the [Creative Commons license](https://github.com/plotly/documentation/blob/source/LICENSE).
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