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Commit 21bd591

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Merge branch 'master' into cleanup/chart_types
2 parents b108bd1 + 8e9a704 commit 21bd591

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‎.circleci/config.yml‎

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- python_39_percy
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- python_312_no_numpy
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- build-doc
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‎CHANGELOG.md‎

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All notable changes to this project will be documented in this file.
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This project adheres to [Semantic Versioning](http://semver.org/).
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## [5.24.1] - 2024年09月12日
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### Updated
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- Updated Plotly.js from version 2.35.0 to version 2.35.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#2352----2024年09月10日) for more information.
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## [5.24.0] - 2024年08月29日
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### Added

‎LICENSE.txt‎

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The MIT License (MIT)
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Copyright (c) 2016-2018 Plotly, Inc
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Copyright (c) 2016-2024 Plotly, Inc
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

‎README.md‎

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## Quickstart
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`pip install plotly==5.24.0`
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`pip install plotly==5.24.1`
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Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
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plotly.py may be installed using pip...
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```
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pip install plotly==5.24.0
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pip install plotly==5.24.1
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```
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or conda.
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```
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conda install -c plotly plotly=5.24.0
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conda install -c plotly plotly=5.24.1
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```
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### JupyterLab Support
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```
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# JupyterLab 2.x renderer support
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jupyter labextension install jupyterlab-plotly@5.24.0 @jupyter-widgets/jupyterlab-manager
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jupyter labextension install jupyterlab-plotly@5.24.1 @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.

‎binder/requirements.txt‎

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jupytext
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plotly==5.24.0
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plotly==5.24.1
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jupyter
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notebook
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pandas==2.2.2

‎doc/apidoc/conf.py‎

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# The short X.Y version
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version = ""
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# The full version, including alpha/beta/rc tags
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release = "5.24.0"
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release = "5.24.1"
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# -- General configuration ---------------------------------------------------

‎doc/apidoc/plotly.graph_objects.rst‎

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Scattergeo
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Choropleth
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Scattermap
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Choroplethmap
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Densitymap
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Scattermapbox
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Choroplethmapbox
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Densitymapbox

‎doc/python/mapbox-density-heatmaps.md‎ renamed to ‎doc/python/density-heatmaps.md‎

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> Mapbox traces are deprecated and may be removed in a future version of Plotly.py.
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The earlier examples using `px.density_mapbox` and `go.Densitymap` use [Maplibre](https://maplibre.org/maplibre-gl-js/docs/) for rendering. These traces were introduced in Plotly.py 5.24. These trace types are now the recommended way to make tile-based density heatmaps. There are also traces that use [Mapbox](https://docs.mapbox.com): `density_mapbox` and `go.Densitymapbox`.
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The earlier examples using `px.density_map` and `go.Densitymap` use [Maplibre](https://maplibre.org/maplibre-gl-js/docs/) for rendering. These traces were introduced in Plotly.py 5.24. These trace types are now the recommended way to make tile-based density heatmaps. There are also traces that use [Mapbox](https://docs.mapbox.com): `density_mapbox` and `go.Densitymapbox`.
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To use these trace types, in some cases you _may_ need a Mapbox account and a public [Mapbox Access Token](https://www.mapbox.com/studio). See our [Mapbox Map Layers](/python/mapbox-layers/) documentation for more information.
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‎doc/python/filled-area-on-mapbox.md‎ renamed to ‎doc/python/filled-area-tile-maps.md‎

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display_as: maps
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language: python
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layout: base
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name: Filled Area on Maps
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name: Filled Area on Tile Maps
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order: 4
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page_type: example_index
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permalink: python/filled-area-tile-maps/

‎doc/python/getting-started.md‎

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`plotly` may be installed using `pip`:
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```
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$ pip install plotly==5.24.1
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```
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or `conda`:
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```
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$ conda install -c plotly plotly=5.24.0
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$ conda install -c plotly plotly=5.24.1
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```
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This package contains everything you need to write figures to standalone HTML files.
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```
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# JupyterLab 2.x renderer support
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jupyter labextension install jupyterlab-plotly@5.24.0 @jupyter-widgets/jupyterlab-manager
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jupyter labextension install jupyterlab-plotly@5.24.1 @jupyter-widgets/jupyterlab-manager
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```
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Please check out our [Troubleshooting guide](/python/troubleshooting/) if you run into any problems with JupyterLab, particularly if you are using multiple python environments inside Jupyter.

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