| Name | plotly JSON |
| Version |
6.0.0
JSON |
| download |
| home_page | https://plotly.com/python/ |
| Summary | An open-source, interactive data visualization library for Python |
| upload_time | 2025-01-28 19:33:51 |
| maintainer | Nicolas Kruchten |
| docs_url | None |
| author | Chris P |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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>
<div align="center">
<a href="https://dash.plotly.com/project-maintenance">
<img src="https://dash.plotly.com/assets/images/maintained-by-plotly.png" width="400px" alt="Maintained by Plotly">
</a>
</div>
## Quickstart
`pip install plotly`
```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)
- [Community forum](https://community.plotly.com)
---
## Installation
plotly.py may be installed using pip
```
pip install plotly
```
or conda.
```
conda install -c plotly plotly
```
### Jupyter Widget Support
For use as a Jupyter widget, install `jupyter` and `anywidget`
packages using `pip`:
```
pip install jupyter anywidget
```
or `conda`:
```
conda install jupyter anywidget
```
### 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
```
### 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
```
## 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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