remove mapbox references from docs and doc build workflow

emilykl · emilykl · commit 50eb940a4086 · 2026-07-23T15:37:33.000-04:00
diff --git a/.github/workflows/build-doc.yml b/.github/workflows/build-doc.yml
@@ -38,12 +38,9 @@ jobs:
 
 
       - name: Build HTML docs
-        env:
-          MAPBOX_TOKEN: ${{ secrets.MAPBOX_TOKEN }}
         run: |
           cd doc
           source .venv/bin/activate
-          echo "${MAPBOX_TOKEN}" > python/.mapbox_token
           make -kj8 || make -kj8
           curl https://raw.githubusercontent.com/plotly/graphing-library-docs/master/front-matter-ci.py > front-matter-ci.py
           curl https://raw.githubusercontent.com/plotly/graphing-library-docs/master/check-or-enforce-order.py > check-or-enforce-order.py
diff --git a/.gitignore b/.gitignore
@@ -55,7 +55,6 @@ tests/test_core/test_offline/plotly.min.js
 temp-plot.html
 .vscode
 doc/python/.ipynb_checkpoints
-doc/python/.mapbox_token
 doc/.ipynb_checkpoints
 tags
 doc/check-or-enforce-order.py
diff --git a/doc/Makefile b/doc/Makefile
@@ -21,13 +21,6 @@ all: $(HTML_FILES) $(V3_REDIR_FILES) $(NEXT_REDIR_FILES)
 
 .PRECIOUS: $(IPYNB_FILES)
 
-$(IPYNB_DIR)/.mapbox_token: $(MD_DIR)/.mapbox_token
-	@mkdir -p $(IPYNB_DIR)
-	@echo "[symlink]    .mapbox_token"
-	@cd $(IPYNB_DIR) && ln -s ../../$<
-
-$(IPYNB_FILES): $(IPYNB_DIR)/.mapbox_token
-
 $(IPYNB_DIR)/%.ipynb: $(MD_DIR)/%.md
 	@mkdir -p $(IPYNB_DIR)
 	@echo "[jupytext]   $<"
diff --git a/doc/README.md b/doc/README.md
@@ -32,17 +32,6 @@ uv pip uninstall plotly       # remove the PyPI version installed by requirement
 uv pip install -e ..          # install from your local checkout
 ```
 
-### Mapbox token
-
-Several geographic examples require a free Mapbox public token. Without it,
-those specific pages will fail to build.
-
-1. Create an account at https://account.mapbox.com/auth/signup
-2. Navigate to https://account.mapbox.com/ and copy your "Default public token"
-3. Save it to the file `doc/python/.mapbox_token`
-
-The Makefile symlinks this token into the build directory automatically.
-
 ## Tutorials (`python` directory)
 
 Each tutorial is a markdown (`.md`) file, which can be opened in Jupyter
@@ -391,8 +380,6 @@ Check `build/failures/<page-name>` for the full error output. Common causes:
 - **Timeout** — the default is 600 seconds (10 minutes). If your example
   legitimately needs more time, discuss in an issue before increasing the
   timeout.
-- **Missing Mapbox token** — geographic examples will fail if
-  `doc/python/.mapbox_token` does not exist.
 
 ### `make` fails immediately
 
diff --git a/doc/apidoc/plotly.express.rst b/doc/apidoc/plotly.express.rst
@@ -19,14 +19,12 @@ plotly's high-level API for rapid figure generation. ::
     scatter_polar
     scatter_ternary
     scatter_map
-    scatter_mapbox
     scatter_geo
     line
     line_3d
     line_polar
     line_ternary
     line_map
-    line_mapbox
     line_geo
     area
     bar
@@ -48,13 +46,10 @@ plotly's high-level API for rapid figure generation. ::
     parallel_categories
     choropleth
     choropleth_map
-    choropleth_mapbox
     density_contour
     density_heatmap
     density_map
-    density_mapbox
     imshow
-    set_mapbox_access_token
     get_trendline_results
 
 
diff --git a/doc/apidoc/plotly.graph_objects.rst b/doc/apidoc/plotly.graph_objects.rst
@@ -101,9 +101,6 @@ Map Traces
    Scattermap
    Choroplethmap
    Densitymap
-   Scattermapbox
-   Choroplethmapbox
-   Densitymapbox
 
 Specialized Traces
 -----------
diff --git a/doc/python/configuration-options.md b/doc/python/configuration-options.md
@@ -212,7 +212,7 @@ To delete buttons from the modebar, pass an array of strings containing the name
   - **3D**: `zoom3d`, `pan3d`, `orbitRotation`, `tableRotation`, `handleDrag3d`, `resetCameraDefault3d`, `resetCameraLastSave3d`, `hoverClosest3d`
   - **Cartesian**: `hoverClosestCartesian`, `hoverCompareCartesian`
   - **Geo**: `zoomInGeo`, `zoomOutGeo`, `resetGeo`, `hoverClosestGeo`
-  - **Other**: `hoverClosestGl2d`, `hoverClosestPie`, `toggleHover`, `resetViews`, `toImage`, `sendDataToCloud`, `toggleSpikelines`, `resetViewMapbox`
+  - **Other**: `hoverClosestGl2d`, `hoverClosestPie`, `toggleHover`, `resetViews`, `toImage`, `sendDataToCloud`, `toggleSpikelines`, `resetViewMap`
 
 ```python
 import plotly.graph_objects as go
@@ -305,7 +305,7 @@ fig.show()
 
 ### Double-Click Delay
 Sets the maximum delay between two consecutive clicks to be interpreted as a double-click in milliseconds. This is the time interval between first mousedown and second mouseup. The default timing is 300 ms (less than half a second).
-This setting propagates to all on-subplot double clicks (except for `geo` and `mapbox`).
+This setting propagates to all on-subplot double clicks (except for `geo` and `map`).
 
 ```python
 import plotly.graph_objects as go
diff --git a/doc/python/density-heatmaps.md b/doc/python/density-heatmaps.md
@@ -31,7 +31,7 @@ jupyter:
     page_type: u-guide
     permalink: python/density-heatmaps/
     redirect_from: python/mapbox-density-heatmaps/
-    thumbnail: thumbnail/mapbox-density.png
+    thumbnail: thumbnail/map-density.png
 ---
 
 ### Density map with `plotly.express`
@@ -67,55 +67,8 @@ fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
 fig.show()
 ```
 
-<!-- #region -->
-### Mapbox Maps
-
-> Mapbox traces are deprecated and may be removed in a future version of Plotly.py.
-
-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.
-
-Here's one of the earlier examples rewritten to use `px.density_mapbox`.
-
-```python
-import pandas as pd
-df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv')
-
-import plotly.express as px
-fig = px.density_mapbox(df, lat='Latitude', lon='Longitude', z='Magnitude', radius=10,
-                        center=dict(lat=0, lon=180), zoom=0,
-                        mapbox_style="open-street-map")
-fig.show()
-```
-
-<!-- #endregion -->
-
-<!-- #region -->
-#### Stamen Terrain base map with Mapbox (Stadia Maps token needed): density heatmap with `plotly.express`
-
-Some base maps require a token. To use "stamen" base maps, you'll need a [Stadia Maps](https://www.stadiamaps.com) token, which you can provide to the `mapbox_accesstoken` parameter on `fig.update_layout`. Here, we have the token saved in a file called `.mapbox_token`, load it in to the variable `token`, and then pass it to `mapbox_accesstoken`.
-
-```python
-import plotly.express as px
-import pandas as pd
-
-token = open(".mapbox_token").read() # you will need your own token
-
-df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv')
-
-fig = px.density_mapbox(df, lat='Latitude', lon='Longitude', z='Magnitude', radius=10,
-                        center=dict(lat=0, lon=180), zoom=0,
-                        map_style="stamen-terrain")
-fig.update_layout(mapbox_accesstoken=token)
-fig.show()
-```
-
-
-<!-- #endregion -->
 
 #### Reference
 
-See [function reference for `px.(density_map)`](https://plotly.com/python-api-reference/generated/plotly.express.density_mapbox) or https://plotly.com/python/reference/densitymap/ for available attribute options.
+See [function reference for `px.(density_map)`](https://plotly.com/python-api-reference/generated/plotly.express.density_map) or https://plotly.com/python/reference/densitymap/ for available attribute options.
 
-For Mapbox-based maps, see [function reference for `px.(density_mapbox)`](https://plotly.com/python-api-reference/generated/plotly.express.density_mapbox) or https://plotly.com/python/reference/densitymapbox/.
diff --git a/doc/python/figure-factories.md b/doc/python/figure-factories.md
@@ -40,7 +40,7 @@ The `plotly.figure_factory` module contains dedicated functions for creating ver
 The following plot types can be created with Figure Factory:
 
   * [Dendrograms](/python/dendrogram/)
-  * [Hexagonal Binning Tile Map](/python/hexbin-mapbox/)
+  * [Hexagonal Binning Tile Map](/python/hexbin-map/)
   * [Quiver Plots](/python/quiver-plots/)
   * [Streamline Plots](/python/streamline-plots/)
   * [Tables](/python/figure-factory-table/)
@@ -57,7 +57,7 @@ The following legacy Figure Factory functions have been replaced by Plotly Expre
   * `create_distplot`: use [Plotly Express](/python/plotly-express/) functions like [`px.histogram`](/python/histograms/)
   * `create_facet_grid`: use [Plotly Express](/python/plotly-express/) functions with the [`facet_row` and `facet_col` arguments](/python/facet-plots/)
   * `create_gantt`: use [`px.timeline`](/python/gantt/)
-  * `create_hexbin_mapbox`: use [`create_hexbin_map`](/python/hexbin-mapbox/)
+  * `create_hexbin_mapbox`: use [`create_hexbin_map`](/python/hexbin-map/)
   * `create_ohlc`: use [`go.Ohlc`](/python/ohlc-charts/)
   * `create_scatterplotmatrix`: use [`go.Splom`](/python/splom/)
   * `create_violin`: use [`go.Violin`](/python/violin/)
diff --git a/doc/python/filled-area-tile-maps.md b/doc/python/filled-area-tile-maps.md
@@ -134,36 +134,7 @@ fig.update_layout(
 fig.show()
 ```
 
-<!-- #region -->
-### Mapbox Maps
-
-> Mapbox traces are deprecated and may be removed in a future version of Plotly.py.
-
-The earlier examples using `go.Scattermap` use [Maplibre](https://maplibre.org/maplibre-gl-js/docs/) for rendering. This trace was introduced in Plotly.py 5.24 and is now the recommended way to draw filled areas on tile-based maps. There is also a trace that uses [Mapbox](https://docs.mapbox.com), called `go.Scattermapbox`.
-
-To use the `Scattermapbox` trace type, 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.
-
-Here's one of the earlier examples rewritten to use `Scattermapbox`.
-
-```python
-import plotly.graph_objects as go
-
-fig = go.Figure(go.Scattermapbox(
-    fill = "toself",
-    lon = [-74, -70, -70, -74], lat = [47, 47, 45, 45],
-    marker = { 'size': 10, 'color': "orange" }))
-
-fig.update_layout(
-    mapbox = {
-        'style': "open-street-map",
-        'center': {'lon': -73, 'lat': 46 },
-        'zoom': 5},
-    showlegend = False)
-
-fig.show()
-```
-<!-- #endregion -->
 
 #### Reference
 
-See  https://plotly.com/python/reference/scattermap/ for available attribute options, or for `go.Scattermapbox`, see https://plotly.com/python/reference/scattermapbox/.
+See  https://plotly.com/python/reference/scattermap/ for available attribute options.
diff --git a/doc/python/hexbin-map.md b/doc/python/hexbin-map.md
@@ -26,11 +26,11 @@ jupyter:
     display_as: maps
     language: python
     layout: base
-    name: Hexbin Mapbox
+    name: Hexbin Map
     order: 13
     page_type: u-guide
-    permalink: python/hexbin-mapbox/
-    thumbnail: thumbnail/hexbin_mapbox.jpg
+    permalink: python/hexbin-map/
+    thumbnail: thumbnail/hexbin_map.jpg
 ---
 
 #### Simple Count Hexbin
diff --git a/doc/python/lines-on-tile-maps.md b/doc/python/lines-on-tile-maps.md
@@ -31,7 +31,7 @@ jupyter:
     page_type: example_index
     permalink: python/lines-on-tile-maps/
     redirect_from: python/lines-on-mapbox/
-    thumbnail: thumbnail/line_mapbox.jpg
+    thumbnail: thumbnail/line_map.jpg
 ---
 
 ### Lines on tile maps using Plotly Express
@@ -99,7 +99,7 @@ fig.show()
 ### Lines on maps using `Scattermap` traces
 
 This example uses `go.Scattermap` and sets
-the [mode](https://plotly.com/python/reference/scattermapbox/#scattermap-mode) attribute to a combination of markers and line.
+the [mode](https://plotly.com/python/reference/scattermap/#scattermap-mode) attribute to a combination of markers and line.
 
 ```python
 import plotly.graph_objects as go
@@ -127,48 +127,8 @@ fig.update_layout(
 fig.show()
 ```
 
-### Mapbox Maps
-
-> Mapbox traces are deprecated and may be removed in a future version of Plotly.py.
-
-The earlier examples using `px.line_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 draw lines on tile-based maps. There are also traces that use [Mapbox](https://docs.mapbox.com): `px.line_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.
-
-To draw a line on your map, you either can use [`px.line_mapbox`](https://plotly.com/python-api-reference/generated/plotly.express.line_mapbox.html) in Plotly Express, or [`Scattermapbox`](https://plotly.com/python/reference/scattermapbox/) traces. Below we show you how to draw a line on Mapbox using Plotly Express.
-
-Here's an example of using `Scattermapbox`.
-
-```python
-import plotly.graph_objects as go
-
-fig = go.Figure(go.Scattermapbox(
-    mode = "markers+lines",
-    lon = [10, 20, 30],
-    lat = [10, 20,30],
-    marker = {'size': 10}))
-
-fig.add_trace(go.Scattermapbox(
-    mode = "markers+lines",
-    lon = [-50, -60,40],
-    lat = [30, 10, -20],
-    marker = {'size': 10}))
-
-fig.update_layout(
-    margin ={'l':0,'t':0,'b':0,'r':0},
-    mapbox = {
-        'center': {'lon': 10, 'lat': 10},
-        'style': "open-street-map",
-        'center': {'lon': -20, 'lat': -20},
-        'zoom': 1})
-
-fig.show()
-```
 
 #### Reference
 
 See [function reference for `px.line_map`](https://plotly.com/python-api-reference/generated/plotly.express.line_map) or
 https://plotly.com/python/reference/scattermap/ for more information about the attributes available.
-
-For Mapbox-based tile maps, see [function reference for `px.line_mapbox`](https://plotly.com/python-api-reference/generated/plotly.express.line_mapbox) or
-https://plotly.com/python/reference/scattermapbox/.
diff --git a/doc/python/map-configuration.md b/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.line_map`, `px.choropleth_map`, or `px.density_map` function or otherwise contains one or more traces of type `go.Scattermap`, `go.Choroplethmap`, or `go.Densitymap`, the `layout.map` object in your figure contains configuration information for the map itself.
 
 - **Outline-based maps**
 
diff --git a/doc/python/migrate-to-maplibre.md b/doc/python/migrate-to-maplibre.md
@@ -31,7 +31,7 @@ jupyter:
     page_type: u-guide
     permalink: python/mapbox-to-maplibre/
     redirect_from: python/maplibre-migration/
-    thumbnail: thumbnail/mapbox-layers.png
+    thumbnail: thumbnail/map-layers.png
 ---
 
 ## Migrating from Mapbox traces to MapLibre traces
diff --git a/doc/python/orca-management.md b/doc/python/orca-management.md
@@ -258,7 +258,6 @@ In addition to the `executable` property, the `plotly.io.orca.config` object can
  - **`default_format`**: The default image format used on export. One of `"png"`, `"jpeg"`, `"webp"`, `"svg"`, `"pdf"`, or `"eps"`.
  - **`mathjax`**: Location of the MathJax bundle needed to render LaTeX characters. Defaults to a CDN location. If fully offline export is required, set this to a local MathJax bundle.
  - **`topojson`**: Location of the topojson files needed to render choropleth traces. Defaults to a CDN location. If fully offline export is required, set this to a local directory containing the [Plotly.js topojson files](https://github.com/plotly/plotly.js/tree/master/dist/topojson).
- - **`mapbox_access_token`**: Mapbox access token required to render `scattermapbox` traces.
  - **`use_xvfb`**: Whether to call orca using [Xvfb](https://www.x.org/releases/X11R7.6/doc/man/man1/Xvfb.1.xhtml) on Linux. Xvfb is needed for orca to work in a Linux environment if an X11 display server is not available.  By default, plotly.py will automatically use Xvfb if it is installed, and no active X11 display server is detected.  This can be set to `True` to force the use of Xvfb, or it can be set to `False` to disable the use of Xvfb.
 
 
diff --git a/doc/python/performance.md b/doc/python/performance.md
@@ -133,7 +133,7 @@ Each `plotly` trace type is rendered with either SVG or WebGL. The following tra
 * Accelerated versions of SVG trace types: `scattergl`, `scatterpolargl`,
 * High-performance multidimensional trace types: `splom`, or `parcoords`
 * 3D trace types `scatter3d`, `surface`, `mesh3d`, `cone`, `streamtube`, `isosurface`, `volume`
-* Mapbox Gl JS-powered trace types: `scattermap`, `choroplethmap`, `densitymap`
+* MapLibre GL JS-powered trace types: `scattermap`, `choroplethmap`, `densitymap`
 
 ### WebGL Limitations and Tradeoffs
 
diff --git a/doc/python/shapes.md b/doc/python/shapes.md
@@ -51,7 +51,7 @@ The differences between these two approaches are that:
 
 ### Shape-drawing with Scatter traces
 
-There are two ways to draw filled shapes: scatter traces and [layout.shapes](https://plotly.com/python/reference/layout/shapes/#layout-shapes-items-shape-type) which is mostly useful for the 2d subplots, and defines the shape type to be drawn, and can be rectangle, circle, line, or path (a custom SVG path). You also can use [scatterpolar](https://plotly.com/python/polar-chart/#categorical-polar-chart), scattergeo, [scattermapbox](https://plotly.com/python/filled-area-on-mapbox/#filled-scattermapbox-trace) to draw filled shapes on any kind of subplots. To set an area to be filled with a solid color, you need to define [Scatter.fill="toself"](https://plotly.com/python/reference/scatter/#scatter-fill) that connects the endpoints of the trace into a closed shape. If `mode=line` (default value), then you need to repeat the initial point of a shape at the end of the sequence to have a closed shape.
+There are two ways to draw filled shapes: scatter traces and [layout.shapes](https://plotly.com/python/reference/layout/shapes/#layout-shapes-items-shape-type) which is mostly useful for the 2d subplots, and defines the shape type to be drawn, and can be rectangle, circle, line, or path (a custom SVG path). You also can use [scatterpolar](https://plotly.com/python/polar-chart/#categorical-polar-chart), scattergeo, [scattermap](https://plotly.com/python/filled-area-tile-maps/#filled-scattermap-trace) to draw filled shapes on any kind of subplots. To set an area to be filled with a solid color, you need to define [Scatter.fill="toself"](https://plotly.com/python/reference/scatter/#scatter-fill) that connects the endpoints of the trace into a closed shape. If `mode=line` (default value), then you need to repeat the initial point of a shape at the end of the sequence to have a closed shape.
 
 ```python
 import plotly.graph_objects as go
diff --git a/doc/python/static-image-export.md b/doc/python/static-image-export.md
@@ -279,7 +279,6 @@ The following settings are available.
 
 `headers`: *New in 6.8.* A dict of HTTP headers Kaleido sends when fetching external resources during image export (for example, when fetching OpenStreetMap tiles for tile maps). Defaults to `{"X-Requested-With": "plotly.py"}`, which is required to comply with the [OpenStreetMap tile usage policy](https://operations.osmfoundation.org/policies/tiles/). Requires Kaleido v1.3.0 or later.
 
-`mapbox_access_token`: The default Mapbox access token (Kaleido v0 only). Mapbox traces are deprecated. See the [MapLibre Migration](https://plotly.com/python/mapbox-to-maplibre/) page for more details.
 
 ### Set Defaults
 
diff --git a/doc/python/static-image-generation-migration.md b/doc/python/static-image-generation-migration.md
@@ -73,8 +73,6 @@ pio.defaults.default_format = "jpeg"
 # pio.kaleido.scope.default_format = "jpeg"
 ~~~
 
-The `mapbox_access_token` config setting is not available on `plotly.io.defaults` because Mapbox maps are deprecated and will be removed in a future version of Plotly.py. See [MapLibre Migration](https://plotly.com/python/mapbox-to-maplibre/) for more details.
-
 If you are migrating from Orca, the following config settings do not apply to Kaleido: `server_url`, `port`, `timeout`, and `use_xvfb`, but other settings, such as `default_format`, can be accessed via `plotly.io.defaults`.
 
 ## Multiple Image Export
diff --git a/doc/python/subplots.md b/doc/python/subplots.md
@@ -431,7 +431,7 @@ Here are the possible values for the `type` option:
  - `"scene"`: 3D Cartesian subplot for scatter3d, cone, etc.
  - `"polar"`: Polar subplot for scatterpolar, barpolar, etc.
  - `"ternary"`: Ternary subplot for scatterternary.
- - `"mapbox"`: Mapbox subplot for scattermapbox.
+ - `"map"`: Map subplot for scattermap.
  - `"domain"`: Subplot type for traces that are individually positioned. pie, parcoords, parcats, etc.
  - trace type: A trace type name (e.g. `"bar"`, `"scattergeo"`, `"carpet"`, `"mesh"`, etc.) which will be used to determine the appropriate subplot type for that trace.
 
diff --git a/doc/python/tile-county-choropleth.md b/doc/python/tile-county-choropleth.md
diff --git a/doc/python/tile-map-layers.md b/doc/python/tile-map-layers.md
diff --git a/doc/python/tile-scatter-maps.md b/doc/python/tile-scatter-maps.md
diff --git a/doc/python/wide-form.md b/doc/python/wide-form.md
diff --git a/doc/unconverted/python/tesla-supercharging-stations.md b/doc/unconverted/python/tesla-supercharging-stations.md
