Merge branch 'master' into cleanup/chart_types

Author: LiamConnors

Diff for: .circleci/config.yml

@@ -617,4 +617,3 @@ workflows:
       - python_39_percy
       - python_312_no_numpy
       - build-doc
-

Diff for: CHANGELOG.md

@@ -2,6 +2,12 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+## [5.24.1] - 2024-09-12
+
+### Updated
+
+- 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----2024-09-10) for more information.
+
 ## [5.24.0] - 2024-08-29
 
 ### Added

Diff for: LICENSE.txt

@@ -1,6 +1,6 @@
 The MIT License (MIT)
 
-Copyright (c) 2016-2018 Plotly, Inc
+Copyright (c) 2016-2024 Plotly, 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

Diff for: README.md

@@ -40,7 +40,7 @@
 
 ## Quickstart
 
-`pip install plotly==5.24.0`
+`pip install plotly==5.24.1`
 
 Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
 
@@ -85,13 +85,13 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is
 plotly.py may be installed using pip...
 
 ```
-pip install plotly==5.24.0
+pip install plotly==5.24.1
 ```
 
 or conda.
 
 ```
-conda install -c plotly plotly=5.24.0
+conda install -c plotly plotly=5.24.1
 ```
 
 ### JupyterLab Support
@@ -113,7 +113,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
 
 ```
 # JupyterLab 2.x renderer support
-jupyter labextension install [email protected].0 @jupyter-widgets/jupyterlab-manager
+jupyter labextension install [email protected].1 @jupyter-widgets/jupyterlab-manager
 ```
 
 Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.

Diff for: binder/requirements.txt

@@ -1,5 +1,5 @@
 jupytext
-plotly==5.24.0
+plotly==5.24.1
 jupyter
 notebook
 pandas==2.2.2

Diff for: doc/apidoc/conf.py

@@ -26,7 +26,7 @@
 # The short X.Y version
 version = ""
 # The full version, including alpha/beta/rc tags
-release = "5.24.0"
+release = "5.24.1"
 
 
 # -- General configuration ---------------------------------------------------

Diff for: doc/apidoc/plotly.graph_objects.rst

@@ -99,6 +99,9 @@ Map Traces
 
    Scattergeo
    Choropleth
+   Scattermap
+   Choroplethmap
+   Densitymap
    Scattermapbox
    Choroplethmapbox
    Densitymapbox

Diff for: doc/python/mapbox-density-heatmaps.md renamed to doc/python/density-heatmaps.md

@@ -72,7 +72,7 @@ fig.show()
 
 > Mapbox traces are deprecated and may be removed in a future version of Plotly.py.
 
-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`.
+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`.
 
 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.
 

Diff for: doc/python/filled-area-on-mapbox.md renamed to doc/python/filled-area-tile-maps.md

@@ -26,7 +26,7 @@ jupyter:
     display_as: maps
     language: python
     layout: base
-    name: Filled Area on Maps
+    name: Filled Area on Tile Maps
     order: 4
     page_type: example_index
     permalink: python/filled-area-tile-maps/

Diff for: doc/python/getting-started.md

@@ -58,13 +58,13 @@ We also encourage you to join the [Plotly Community Forum](http://community.plot
 `plotly` may be installed using `pip`:
 
 ```
-$ pip install plotly==5.24.0
+$ pip install plotly==5.24.1
 ```
 
 or `conda`:
 
 ```
-$ conda install -c plotly plotly=5.24.0
+$ conda install -c plotly plotly=5.24.1
 ```
 This package contains everything you need to write figures to standalone HTML files.
 
@@ -152,7 +152,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
 
 ```
 # JupyterLab 2.x renderer support
-jupyter labextension install [email protected].0 @jupyter-widgets/jupyterlab-manager
+jupyter labextension install [email protected].1 @jupyter-widgets/jupyterlab-manager
 ```
 
 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.

Diff for: doc/python/lines-on-mapbox.md renamed to doc/python/lines-on-tile-maps.md

@@ -26,15 +26,15 @@ jupyter:
     display_as: maps
     language: python
     layout: base
-    name: Lines on Maps
+    name: Lines on Tile Maps
     order: 3
     page_type: example_index
     permalink: python/lines-on-tile-maps/
     redirect_from: python/lines-on-mapbox/
     thumbnail: thumbnail/line_mapbox.jpg
 ---
 
-### Lines on maps using Plotly Express
+### Lines on tile maps using Plotly Express
 
 To draw a line on a map, you either can use `px.line_map` in Plotly Express, or `go.Scattermap` in Plotly Graph Objects. Here's an example of drawing a line on a tile-based map using Plotly Express.
 

Diff for: doc/python/map-configuration.md

@@ -39,7 +39,7 @@ Plotly supports two different kinds of maps:
 
 - **[Tile-based maps](https://en.wikipedia.org/wiki/Tiled_web_map)**
 
-If your figure is created with a `px.scatter_map`, `px.scatter_mapbox`, `px.line_map`, `px.line_mapbox`, `px.choropleth_map`, `px.choropleth_mapbox`, `px.density_map`, or `px.density_mapbox` function or otherwise contains one or more traces of type `go.Scattermap`, `go.Scattermapbox`,`go.Choroplethmap`, `go.Choroplethmapbox`, `go.Densitymap`, or `go.Densitymapbox` the `layout.map` object in your figure contains configuration information for the map itself.
+If your figure is created with a `px.scatter_map`, `px.scatter_mapbox`, `px.line_map`, `px.line_mapbox`, `px.choropleth_map`, `px.choropleth_mapbox`, `px.density_map`, or `px.density_mapbox` function or otherwise contains one or more traces of type `go.Scattermap`, `go.Scattermapbox`, `go.Choroplethmap`, `go.Choroplethmapbox`, `go.Densitymap`, or `go.Densitymapbox`, the `layout.map` object in your figure contains configuration information for the map itself.
 
 - **Outline-based maps**
 

Diff for: doc/python/renderers.md

@@ -164,7 +164,7 @@ The `plotly_mimetype` renderer creates a specification of the figure (called a M
 These are aliases for `plotly_mimetype` since this renderer is a good choice when working in JupyterLab, nteract, and the Visual Studio Code notebook interface. Note that in VSCode Notebooks, the version of Plotly.js that is used to render is provided by the [vscode-python extension](https://code.visualstudio.com/docs/languages/python) and often trails the latest version by several weeks, so the latest features of `plotly` may not be available in VSCode right away. The situation is similar for Nteract.
 
 ##### Static Image Renderers
-A set of renderers is provided for displaying figures as static images.  These renderers all rely on the [orca](https://github.com/plotly/orca) static image export utility. See the [Static Image Export](https://plot.ly/python/static-image-export/) page for more information on getting set up with [orca].
+A set of renderers is provided for displaying figures as static images. See the [Static Image Export](https://plot.ly/python/static-image-export/) page for more information on getting set up.
 
 ###### `png`, `jpeg`, and `svg`
 These renderers display figures as static `.png`, `.jpeg`, and `.svg` files, respectively.  These renderers are useful for user interfaces that do not support inline HTML output, but do support inline static images.  Examples include the [QtConsole](https://qtconsole.readthedocs.io/en/stable/), [Spyder](https://www.spyder-ide.org/), and the PyCharm [notebook interface](https://www.jetbrains.com/help/pycharm/jupyter-notebook-support.html).

Diff for: doc/python/smoothing.md

@@ -95,7 +95,7 @@ fig.add_trace(go.Scatter(
 
 fig.add_trace(go.Scatter(
     x=x,
-    y=signal.savgol_filter(y,
+    y=signal.savgol_filter(y_noise,
                            53, # window size used for filtering
                            3), # order of fitted polynomial
     mode='markers',

Diff for: doc/python/mapbox-county-choropleth.md renamed to doc/python/tile-county-choropleth.md

@@ -29,8 +29,8 @@ jupyter:
     name: Tile Map Layers
     order: 9
     page_type: u-guide
-    permalink: /python/tile-map-layers/
-    redirect_from: /python/mapbox-layers/
+    permalink: python/tile-map-layers/
+    redirect_from: python/mapbox-layers/
     thumbnail: thumbnail/mapbox-layers.png
 ---
 
@@ -42,7 +42,7 @@ Plotly supports two different kinds of maps:
 
 - **[Tile-based maps](https://en.wikipedia.org/wiki/Tiled_web_map)**
 
-If your figure is created with a `px.scatter_map`, `px_scatter_mapbox`, `px.line_map`, `px.line_mapbox`, `px.choropleth_map`, `px.choropleth_mapbox`, `px.density_map`, or `px.density_mapbox` function or otherwise contains one or more traces of type `go.Scattermap`, `go.Scattermapbox`,`go.Choroplethmap`, `go.Choroplethmapbox`, `go.Densitymap`, or `go.Densitymapbox` the `layout.map` or `layout.mapbox` object in your figure contains configuration information for the map itself.
+If your figure is created with a `px.scatter_map`, `px_scatter_mapbox`, `px.line_map`, `px.line_mapbox`, `px.choropleth_map`, `px.choropleth_mapbox`, `px.density_map`, or `px.density_mapbox` function or otherwise contains one or more traces of type `go.Scattermap`, `go.Scattermapbox`, `go.Choroplethmap`, `go.Choroplethmapbox`, `go.Densitymap`, or `go.Densitymapbox`, the `layout.map` or `layout.mapbox` object in your figure contains configuration information for the map itself.
 
 - **Outline-based maps**
 

Diff for: doc/python/mapbox-layers.md renamed to doc/python/tile-map-layers.md

@@ -26,7 +26,7 @@ jupyter:
     display_as: maps
     language: python
     layout: base
-    name: Scatter Plots on Mapbox
+    name: Scatter Plots on Tile Maps
     order: 10
     page_type: u-guide
     permalink: python/tile-scatter-maps/
@@ -303,6 +303,7 @@ fig.show()
 ## Mapbox Maps
 
 > Mapbox traces are deprecated and may be removed in a future version of Plotly.py.
+
 The earlier examples using `px.scatter_map` and `go.Scattermap` use [Maplibre](https://maplibre.org/maplibre-gl-js/docs/) for rendering. These traces were introduced in Plotly.py 5.24 and are now the recommended way to create scatter plots on tile-based maps. There are also traces that use [Mapbox](https://docs.mapbox.com): `px.scatter_mapbox` and `go.Scattermapbox`
 
 To plot on Mapbox maps with Plotly 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.

Diff for: doc/python/scattermapbox.md renamed to doc/python/tile-scatter-maps.md

@@ -1,4 +1,4 @@
-plotly==5.24.0
+plotly==5.24.1
 jupytext==1.1.1
 ipywidgets==7.7.2
 jupyter-client<7