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Merge pull request #5043 from plotly/merge-docs-changes-to-main
Merge recent docs changes to main
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README.md

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or conda.
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```
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conda install -c plotly plotly
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conda install -c conda-forge plotly
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```
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### Jupyter Widget Support

doc/python/getting-started.md

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or `conda`:
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```
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$ conda install -c plotly plotly
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$ conda install -c conda-forge plotly
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```
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If you want to use Plotly Express, install its required dependencies with:

doc/python/performance.md

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Arrays or data types that are not supported for base64 encoding to Plotly.js's typed arrays specification will still work and render correctly with Plotly. Those arrays and or data types just won't have the performance benefits that Plotly.js's base64 typed arrays feature provides.
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### Dash Design Kit Compatibility
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The Dash Design Kit `Graph` component from versions of Dash Design Kit earlier than 1.13 doesn't work with Plotly.py version 6 when using Python objects listed in the previous "Arrays and Data Types Supported". Upgrade Dash Design Kit to 1.13 or later to resolve this issue.
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### Unsupported Attributes
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Arrays passed to attributes with the following names are not supported for base64 encoding for rendering with Plotly.js.

doc/python/v6-changes.md

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Plotly.py now takes advantage of recent changes in how Plotly.js handles typed arrays for improved performance. See the [performance page](https://plotly.com/python/performance/) for more details.
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> If you are using Plotly.py 6 or later with Dash Design Kit, you may need to upgrade your Dash Design Kit version. See the [Dash Design Kit Compatibility section on the performance page](/python/performance/#dash-design-kit-compatibility) for more details.
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## Dataframe Support
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Plotly Express now uses [Narwhals](https://narwhals-dev.github.io/narwhals/) to natively support pandas, Polars, and PyArrow. With this change, the [performance](https://plotly.com/python/performance/) of using Polars or PyArrow with Plotly Express is significantly improved.
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Plotly Express now uses [Narwhals](https://narwhals-dev.github.io/narwhals/) to natively support pandas, Polars, and PyArrow. With this change, the [performance](https://plotly.com/python/performance/) of using Polars or PyArrow with Plotly Express is significantly improved.
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## Mapbox Deprecation
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