chore: Update plotly.js to v3.6.0

CONTRIBUTING.md

@@ -274,7 +274,21 @@ python commands.py updateplotlyjs
 
 This downloads new versions of `plot-schema.json` and `plotly.min.js` from the `plotly/plotly.js` GitHub repository
 and places them in `plotly/package_data`.
-It then regenerates all of the `graph_objs` classes based on the new schema.
+It then regenerates all of the `graph_objs` classes based on the new schema,
+and finally runs `npm install` in `js/` to refresh `js/package-lock.json` against the new `plotly.js`.
+Commit the updated `js/package-lock.json` along with the regenerated files.
+
+The JupyterLab extension and FigureWidget bundles in `plotly/labextension` and `plotly/package_data/widgetbundle.js`
+are rebuilt as part of the release flow (see [RELEASE.md](RELEASE.md)) rather than on every plotly.js bump.
+
+If you need to skip the `npm install` step entirely (e.g. `npm` isn't available),
+set the `SKIP_NPM=1` environment variable:
+
+```bash
+SKIP_NPM=1 python commands.py updateplotlyjs
+```
+
+If you do skip it, you'll need to run `npm install` in `js/` yourself before committing so the lockfile stays in sync.
 
 ### Using a Development Branch of Plotly.js
 
@@ -319,6 +333,6 @@ Usage: `python commands.py <subcommand> <args>`
 | `codegen [--noformat]` | Regenerate Python files according to `plot-schema.json`.`--noformat` skips formatter step. |
 | `lint` | Lint all Python code in `plotly/`. |
 | `format` | Format all Python code in `plotly/`. |
-| `updateplotlyjs` | Update `plotly.min.js` and `plot-schema.json` to match the `plotly.js` version specified in `js/package.json`. Then, run codegen to regenerate the Python files. |
+| `updateplotlyjs` | Update `plotly.min.js` and `plot-schema.json` to match the `plotly.js` version specified in `js/package.json`, run codegen to regenerate the Python files, then run `npm install` in `js/` to refresh `js/package-lock.json`. Set `SKIP_NPM=1` to skip the npm step. |
 | `updateplotlyjsdev [--devrepo REPONAME --devbranch BRANCHNAME] \| [--local PATH]` | Update `plot-schema.json` and `plotly.min.js` to match the version in the provided plotly.js repo name and branch name, OR local path. Then, run codegen to regenerate the Python files. |
 | `bumpversion X.Y.Z` | Update the plotly.py version number to X.Y.Z across all files where it needs to be updated. |

codegen/resources/plot-schema.json

@@ -3063,6 +3063,17 @@
           "y unified"
         ]
       },
+      "hoversort": {
+        "description": "Determines the order of items shown in unified hover labels. If *trace*, items are sorted by trace index. If *value descending*, items are sorted by value from largest to smallest. If *value ascending*, items are sorted by value from smallest to largest. Only applies when `hovermode` is *x unified* or *y unified*.",
+        "dflt": "trace",
+        "editType": "none",
+        "valType": "enumerated",
+        "values": [
+          "trace",
+          "value descending",
+          "value ascending"
+        ]
+      },
       "hoversubplots": {
         "description": "Determines expansion of hover effects to other subplots If *single* just the axis pair of the primary point is included without overlaying subplots. If *overlaying* all subplots using the main axis and occupying the same space are included. If *axis*, also include stacked subplots using the same axis when `hovermode` is set to *x*, *x unified*, *y* or *y unified*.",
         "dflt": "overlaying",
@@ -56775,11 +56786,17 @@
           }
         },
         "legendrank": {
-          "description": "Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with *reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout.",
+          "arrayOk": true,
+          "description": "Sets the legend rank for this pie. If passed as an array, this will set the legend rank of the individual pie slices. Items and groups with smaller ranks are presented on top/left side while with *reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout.",
           "dflt": 1000,
           "editType": "style",
           "valType": "number"
         },
+        "legendranksrc": {
+          "description": "Sets the source reference on Chart Studio Cloud for `legendrank`.",
+          "editType": "none",
+          "valType": "string"
+        },
         "legendsrc": {
           "description": "Sets the source reference on Chart Studio Cloud for `legend`.",
           "editType": "none",

commands.py

@@ -44,8 +44,15 @@ def plotly_js_version():
     return version
 
 
-def install_js_deps(local):
-    """Install package.json dependencies using npm."""
+def install_js_deps(local, build=True):
+    """Install package.json dependencies using npm.
+
+    When ``build`` is True (the default), also runs ``npm run build`` to
+    rebuild the JupyterLab extension and FigureWidget bundles and verifies
+    that the widget bundle exists. Pass ``build=False`` when you only need
+    to refresh ``node_modules`` / ``package-lock.json`` (e.g. after a
+    plotly.js version bump) and don't need the bundles rebuilt.
+    """
 
     npmName = "npm"
     if platform.system() == "Windows":
@@ -86,18 +93,20 @@ def install_js_deps(local):
                 stdout=sys.stdout,
                 stderr=sys.stderr,
             )
-        check_call(
-            [npmName, "run", "build"],
-            cwd=NODE_ROOT,
-            stdout=sys.stdout,
-            stderr=sys.stderr,
-        )
+        if build:
+            check_call(
+                [npmName, "run", "build"],
+                cwd=NODE_ROOT,
+                stdout=sys.stdout,
+                stderr=sys.stderr,
+            )
         os.utime(NODE_MODULES, None)
 
-    for target in WIDGET_TARGETS:
-        if not os.path.exists(target):
-            msg = "Missing file: %s" % target
-            raise ValueError(msg)
+    if build:
+        for target in WIDGET_TARGETS:
+            if not os.path.exists(target):
+                msg = "Missing file: %s" % target
+                raise ValueError(msg)
 
 
 def overwrite_schema_local(uri):
@@ -215,6 +224,7 @@ def update_plotlyjs(plotly_js_version, outdir):
     update_bundle(plotly_js_version)
     update_schema(plotly_js_version)
     perform_codegen(outdir)
+    install_js_deps(local=None, build=False)
 
 
 # FIXME: switch to argparse

js/package.json

@@ -19,7 +19,7 @@
   },
   "dependencies": {
     "lodash-es": "^4.17.21",
-    "plotly.js": "3.5.0",
+    "plotly.js": "3.6.0",
     "@lumino/widgets": "~2.4.0"
   },
   "devDependencies": {

plotly/graph_objs/_figure.py

@@ -12671,6 +12671,7 @@ def add_pie(
         legendgroup=None,
         legendgrouptitle=None,
         legendrank=None,
+        legendranksrc=None,
         legendsrc=None,
         legendwidth=None,
         marker=None,
@@ -12850,16 +12851,20 @@ def add_pie(
             :class:`plotly.graph_objects.pie.Legendgrouptitle`
             instance or dict with compatible properties
         legendrank
-            Sets the legend rank for this trace. Items and groups
-            with smaller ranks are presented on top/left side while
-            with "reversed" `legend.traceorder` they are on
-            bottom/right side. The default legendrank is 1000, so
-            that you can use ranks less than 1000 to place certain
-            items before all unranked items, and ranks greater than
-            1000 to go after all unranked items. When having
-            unranked or equal rank items shapes would be displayed
-            after traces i.e. according to their order in data and
-            layout.
+            Sets the legend rank for this pie. If passed as an
+            array, this will set the legend rank of the individual
+            pie slices. Items and groups with smaller ranks are
+            presented on top/left side while with "reversed"
+            `legend.traceorder` they are on bottom/right side. The
+            default legendrank is 1000, so that you can use ranks
+            less than 1000 to place certain items before all
+            unranked items, and ranks greater than 1000 to go after
+            all unranked items. When having unranked or equal rank
+            items shapes would be displayed after traces i.e.
+            according to their order in data and layout.
+        legendranksrc
+            Sets the source reference on Chart Studio Cloud for
+            `legendrank`.
         legendsrc
             Sets the source reference on Chart Studio Cloud for
             `legend`.
@@ -13052,6 +13057,7 @@ def add_pie(
             legendgroup=legendgroup,
             legendgrouptitle=legendgrouptitle,
             legendrank=legendrank,
+            legendranksrc=legendranksrc,
             legendsrc=legendsrc,
             legendwidth=legendwidth,
             marker=marker,

plotly/graph_objs/_figurewidget.py

@@ -12673,6 +12673,7 @@ def add_pie(
         legendgroup=None,
         legendgrouptitle=None,
         legendrank=None,
+        legendranksrc=None,
         legendsrc=None,
         legendwidth=None,
         marker=None,
@@ -12852,16 +12853,20 @@ def add_pie(
             :class:`plotly.graph_objects.pie.Legendgrouptitle`
             instance or dict with compatible properties
         legendrank
-            Sets the legend rank for this trace. Items and groups
-            with smaller ranks are presented on top/left side while
-            with "reversed" `legend.traceorder` they are on
-            bottom/right side. The default legendrank is 1000, so
-            that you can use ranks less than 1000 to place certain
-            items before all unranked items, and ranks greater than
-            1000 to go after all unranked items. When having
-            unranked or equal rank items shapes would be displayed
-            after traces i.e. according to their order in data and
-            layout.
+            Sets the legend rank for this pie. If passed as an
+            array, this will set the legend rank of the individual
+            pie slices. Items and groups with smaller ranks are
+            presented on top/left side while with "reversed"
+            `legend.traceorder` they are on bottom/right side. The
+            default legendrank is 1000, so that you can use ranks
+            less than 1000 to place certain items before all
+            unranked items, and ranks greater than 1000 to go after
+            all unranked items. When having unranked or equal rank
+            items shapes would be displayed after traces i.e.
+            according to their order in data and layout.
+        legendranksrc
+            Sets the source reference on Chart Studio Cloud for
+            `legendrank`.
         legendsrc
             Sets the source reference on Chart Studio Cloud for
             `legend`.
@@ -13054,6 +13059,7 @@ def add_pie(
             legendgroup=legendgroup,
             legendgrouptitle=legendgrouptitle,
             legendrank=legendrank,
+            legendranksrc=legendranksrc,
             legendsrc=legendsrc,
             legendwidth=legendwidth,
             marker=marker,