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CONTRIBUTING.md

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# Contributing
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Thank you for your interest in contributing to plotly.py! We are actively looking for
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Thank you for your interest in contributing to Plotly.py! We are actively looking for
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diverse contributors, with diverse background and skills.
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This guide starts with a general description of the different ways to contribute
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to plotly.py, then we explain some technical aspects of preparing your
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to Plotly.py, then we explain some technical aspects of preparing your
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contribution.
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## Code of Conduct
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## What are the different ways to contribute?
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There are many ways to contribute to plotly.py. To contribute effectively, it is important to first gain an understanding of the structure of the code and of the repository.
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There are many ways to contribute to Plotly.py. To contribute effectively, it is important to first gain an understanding of the structure of the code and of the repository.
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- [the `plotly.graph_objects` module](https://plotly.com/python/graph-objects/) (usually imported as `go`)
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is [generated from the Plotly.js schema](https://plotly.com/python/figure-structure/),
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- helping other users on the [community forum](https://community.plot.ly/).
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Join the list of [nice people](https://community.plot.ly/u) helping other
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plotly users :-).
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Plotly users :-).
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We also recommend reading the great
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[how to contribute to open source](https://opensource.guide/how-to-contribute/)
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Check out our Community Forum: https://community.plot.ly/.
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## Want to improve the plotly documentation?
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## Want to improve the Plotly documentation?
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Thank you! Instructions on how to contribute to the documentation are given [here](doc/README.md). Please also read the next section if you need to setup a development environment.
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Note: if you're just getting started with git, there exist great resources to
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learn and become confident about git, like http://try.github.io/.
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### Create a virtual environment for plotly development
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### Create a virtual environment for Plotly development
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You can use either [conda][conda-env] or [virtualenv][virtualenv] to create a virtual environment for plotly development, e.g.:
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You can use either [conda][conda-env] or [virtualenv][virtualenv] to create a virtual environment for Plotly development, e.g.:
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```bash
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conda create -n plotly-dev python=3.11
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conda activate plotly-dev
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```
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As of May 2024 our dependencies have been tested against Python versions 3.8 to 3.11.
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As of June 2025, Plotly is tested against Python versions 3.8 to 3.13.
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We will support Python 3.12 and higher versions soon.
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[conda-env]: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands
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(plotly_dev) $ pip install -r requires-optional.txt
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```
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### Editable install of plotly packages
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### Editable install of Plotly packages
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```bash
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(plotly_dev) $ pip install -e .
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```

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