| Name | plotly JSON |
| Version |
6.3.0
JSON |
| download |
| home_page | None |
| Summary | An open-source interactive data visualization library for Python |
| upload_time | 2025-08-12 20:22:14 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT License
Copyright (c) 2016-2024 Plotly Technologies 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.
|
| 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/main/LICENSE.txt). Plotly graphs can be viewed in [Jupyter notebooks](https://jupyter.org), other Python notebook software such as [marimo](https://marimo.io), as 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/main/CONTRIBUTING.md)
- [Changelog](https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md)
- [Code of Conduct](https://github.com/plotly/plotly.py/blob/main/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 conda-forge 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
```
`plotly-geo` can be found on Github at https://github.com/plotly/plotly-geo.
## Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the [MIT license](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt).
Docs released under the [Creative Commons license](https://github.com/plotly/documentation/blob/source/LICENSE).
Raw data
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"description": "# plotly.py\n\n<table>\n <tr>\n <td>Latest Release</td>\n <td>\n <a href=\"https://pypi.org/project/plotly/\"/>\n <img src=\"https://badge.fury.io/py/plotly.svg\"/>\n </td>\n </tr>\n <tr>\n <td>User forum</td>\n <td>\n <a href=\"https://community.plotly.com/\"/>\n <img src=\"https://img.shields.io/badge/help_forum-discourse-blue.svg\"/>\n </td>\n </tr>\n <tr>\n <td>PyPI Downloads</td>\n <td>\n <a href=\"https://pepy.tech/project/plotly\"/>\n <img src=\"https://pepy.tech/badge/plotly/month\"/>\n </td>\n </tr>\n <tr>\n <td>License</td>\n <td>\n <a href=\"https://opensource.org/licenses/MIT\"/>\n <img src=\"https://img.shields.io/badge/License-MIT-yellow.svg\"/>\n </td>\n </tr>\n</table>\n\n<div align=\"center\">\n <a href=\"https://dash.plotly.com/project-maintenance\">\n <img src=\"https://dash.plotly.com/assets/images/maintained-by-plotly.png\" width=\"400px\" alt=\"Maintained by Plotly\">\n </a>\n</div>\n\n## Quickstart\n\n`pip install plotly`\n\n```python\nimport plotly.express as px\nfig = px.bar(x=[\"a\", \"b\", \"c\"], y=[1, 3, 2])\nfig.show()\n```\n\nSee the [Python documentation](https://plotly.com/python/) for more examples.\n\n## Overview\n\n[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:\n\nBuilt 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.\n\n`plotly.py` is [MIT Licensed](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt). Plotly graphs can be viewed in [Jupyter notebooks](https://jupyter.org), other Python notebook software such as [marimo](https://marimo.io), as standalone HTML files, or integrated into [Dash applications](https://dash.plotly.com/).\n\n[Contact us](https://plotly.com/consulting-and-oem/) for consulting, dashboard development, application integration, and feature additions.\n\n<p align=\"center\">\n <a href=\"https://plotly.com/python/\" target=\"_blank\">\n <img src=\"https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/plotly_2017.png\">\n</a></p>\n\n---\n\n- [Online Documentation](https://plotly.com/python/)\n- [Contributing to plotly](https://github.com/plotly/plotly.py/blob/main/CONTRIBUTING.md)\n- [Changelog](https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md)\n- [Code of Conduct](https://github.com/plotly/plotly.py/blob/main/CODE_OF_CONDUCT.md)\n- [Community forum](https://community.plotly.com)\n\n---\n\n## Installation\n\nplotly.py may be installed using pip\n\n```\npip install plotly\n```\n\nor conda.\n\n```\nconda install -c conda-forge plotly\n```\n\n### Jupyter Widget Support\n\nFor use as a Jupyter widget, install `jupyter` and `anywidget`\npackages using `pip`:\n\n```\npip install jupyter anywidget\n```\n\nor `conda`:\n\n```\nconda install jupyter anywidget\n```\n\n### Static Image Export\n\nplotly.py supports [static image export](https://plotly.com/python/static-image-export/),\nusing either the [`kaleido`](https://github.com/plotly/Kaleido)\npackage (recommended, supported as of `plotly` version 4.9) or the [orca](https://github.com/plotly/orca)\ncommand line utility (legacy as of `plotly` version 4.9).\n\n#### Kaleido\n\nThe [`kaleido`](https://github.com/plotly/Kaleido) package has no dependencies and can be installed\nusing pip\n\n```\npip install -U kaleido\n```\n\nor conda\n\n```\nconda install -c conda-forge python-kaleido\n```\n\n### Extended Geo Support\n\nSome plotly.py features rely on fairly large geographic shape files. The county\nchoropleth figure factory is one such example. These shape files are distributed as a\nseparate `plotly-geo` package. This package can be installed using pip...\n\n```\npip install plotly-geo==1.0.0\n```\n\nor conda\n\n```\nconda install -c plotly plotly-geo=1.0.0\n```\n\n`plotly-geo` can be found on Github at https://github.com/plotly/plotly-geo.\n\n## Copyright and Licenses\n\nCode and documentation copyright 2019 Plotly, Inc.\n\nCode released under the [MIT license](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt).\n\nDocs released under the [Creative Commons license](https://github.com/plotly/documentation/blob/source/LICENSE).\n\n",
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