Version changes for v6.8.0

CHANGELOG.md

@@ -4,18 +4,26 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ## Unreleased
 
+
+## [6.8.0] - 2026-06-03
+
 ### Added
-- Add optional `font` parameter for `make_subplots` [[#5393](https://github.com/plotly/plotly.py/pull/5393)]
+- Add optional `font` parameter for `make_subplots` [[#5393](https://github.com/plotly/plotly.py/pull/5393)], with thanks to @Zomtir for the contribution!
 
 ### Fixed
 - Fix issue where user-specified `color_continuous_scale` was ignored when template had `autocolorscale=True` [[#5439](https://github.com/plotly/plotly.py/pull/5439)], with thanks to @antonymilne for the contribution!
 - Use presence of `COLAB_NOTEBOOK_ID` env var to enable Colab renderer instead of testing import of `google.colab` [[#5473](https://github.com/plotly/plotly.py/pull/5473)], with thanks to @kevineger for the contribution!
+- Fix incorrect annotation placement for `add_vline`, `add_hline`, `add_vrect`, and `add_hrect` on datetime axes [[#5508](https://github.com/plotly/plotly.py/pull/5508)], with thanks to @mosh3eb for the contribution!
 - Update tests to be compatible with numpy 2.4 [[#5522](https://github.com/plotly/plotly.py/pull/5522)], with thanks to @thunze for the contribution!
-- Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588](https://github.com/plotly/plotly.py/pull/5588)]
+- Fix issue where `js/` directory was unintentionally installed as a top-level Python package when installing `plotly` [[#5587](https://github.com/plotly/plotly.py/pull/5587)] 
+- Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [[#5588](https://github.com/plotly/plotly.py/pull/5588)]
 - Propagate the requested `default_height`/`default_width` to the outer wrapper div produced by `to_html` so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [[#5591](https://github.com/plotly/plotly.py/issues/5591)], with thanks to @SharadhNaidu for the contribution!
 
 ### Updated
 - The `__eq__` method for  `graph_objects` classes now returns `NotImplemented` to give the other operand an opportunity to handle the comparison [[#5547](https://github.com/plotly/plotly.py/pull/5547)], with thanks to @RazerM for the contribution!
+- Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js [release notes](https://github.com/plotly/plotly.js/releases/tag/v3.6.0) for more information [[#5608](https://github.com/plotly/plotly.py/pull/5608)]. Notable changes include:
+  - Add support for arrays for the pie property `legendrank`, so that it can be configured per slice [[#7723](https://github.com/plotly/plotly.js/pull/7723)]
+  - Add `hoversort` layout attribute to sort unified hover label items by value [[#7734](https://github.com/plotly/plotly.js/pull/7734)]
 
 ## [6.7.0] - 2026-04-09
 

CITATION.cff

@@ -9,7 +9,7 @@ authors:
 - family-names: "Parmer"
   given-names: "Chris"
 title: "An interactive, open-source, and browser-based graphing library for Python"
-version: 6.7.0
+version: 6.8.0
 doi: 10.5281/zenodo.14503524
-date-released: 2026-04-09
+date-released: 2026-06-03
 url: "https://github.com/plotly/plotly.py"

doc/python/hover-text-and-formatting.md

@@ -83,6 +83,24 @@ fig.update_layout(hovermode="x unified")
 fig.show()
 ```
 
+#### Sorting Unified Hover Labels by Value
+
+*New in 6.8*
+
+In `'x unified'` and `'y unified'` hover modes, items in the hover label appear in the order their traces were added to the figure (the default, `hoversort="trace"`). Set `layout.hoversort` to `"value descending"` or `"value ascending"` to instead sort the items by the value being shown, which makes it easier to compare traces at a glance.
+
+```python
+import plotly.express as px
+
+df = px.data.stocks()
+
+fig = px.line(df, x="date", y=df.columns[1:], title="layout.hoversort='value descending'")
+fig.update_traces(hovertemplate=None)
+fig.update_layout(hovermode="x unified", hoversort="value descending")
+
+fig.show()
+```
+
 #### Customize Title in Unified Hover Mode
 
 *New in 6.3*
@@ -221,7 +239,13 @@ fig.update_layout(
 fig.show()
 ```
 
-### Customizing Hover text with Plotly Express
+### Emitting Hover and Click Events Anywhere in the Plot Area
+
+*New in 6.7*
+
+By default, hover and click events are only emitted when the cursor is over a trace. Set `hoveranywhere` or `clickanywhere` to `True` to emit these events anywhere inside the plot area, including over empty space: `fig.update_layout(hoveranywhere=True, clickanywhere=True)`. The events carry the cursor's data coordinates, which is useful when building interactive callbacks (for example, in [Dash](https://dash.plotly.com/)) that need to respond to clicks on locations that don't correspond to a specific data point.
+
+### Customizing Hover Text with Plotly Express
 
 Plotly Express functions automatically add all the data being plotted (x, y, color etc) to the hover label. Many Plotly Express functions also support configurable hover text. The `hover_data` argument accepts a list of column names to be added to the hover tooltip, or a dictionary for advanced formatting (see the next section). The `hover_name` property controls which column is displayed in bold as the tooltip title.
 

doc/python/legend.md

@@ -154,6 +154,25 @@ fig.add_shape(
 fig.show()
 ```
 
+##### Per-Slice `legendrank` for Pie Traces
+
+*New in 6.8*
+
+For `pie` traces, `legendrank` also accepts an array so that each slice can be ranked individually. In the example below, the slices appear in the legend in the order specified by `legendrank` (lowest rank first), independent of the order of `values`.
+
+```python
+import plotly.graph_objects as go
+
+fig = go.Figure(
+    go.Pie(
+        labels=["Oxygen", "Hydrogen", "Carbon", "Nitrogen", "Other"],
+        values=[4500, 2500, 1053, 500, 600],
+        legendrank=[3, 1, 2, 5, 4],
+    )
+)
+fig.show()
+```
+
 #### Showing and Hiding the Legend
 
 By default the legend is displayed on Plotly charts with multiple traces, and this can be explicitly set with the `layout.showlegend` attribute.

doc/python/static-image-export.md

@@ -277,6 +277,8 @@ The following settings are available.
 
 `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.
 
+`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

doc/python/subplots.md

@@ -156,6 +156,28 @@ fig.update_layout(height=500, width=700,
 fig.show()
 ```
 
+#### Customizing the Subplot Title Font
+
+*New in 6.8*
+
+Use the `font` argument of `make_subplots` to customize the font used for `subplot_titles`, `column_titles`, `row_titles`, `x_title`, and `y_title`. The argument accepts a dict with any of the standard [font attributes](https://plotly.com/python/reference/layout/annotations/#layout-annotations-items-annotation-font) (`family`, `size`, `color`, `weight`, etc.).
+
+```python
+from plotly.subplots import make_subplots
+import plotly.graph_objects as go
+
+fig = make_subplots(
+    rows=1, cols=2,
+    subplot_titles=("Plot 1", "Plot 2"),
+    font=dict(family="Courier New, monospace", size=20, color="RebeccaPurple"),
+)
+
+fig.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6]), row=1, col=1)
+fig.add_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70]), row=1, col=2)
+
+fig.show()
+```
+
 #### Subplots with Annotations
 
 ```python

js/package.json

@@ -1,7 +1,7 @@
 {
   "name": "jupyterlab-plotly",
   "main": "lib/mimeExtension.js",
-  "version": "6.7.0",
+  "version": "6.8.0",
   "repository": {
     "type": "git",
     "url": "https://github.com/plotly/plotly.py"

plotly/labextension/package.json

@@ -1,7 +1,7 @@
 {
   "name": "jupyterlab-plotly",
   "main": "lib/mimeExtension.js",
-  "version": "6.7.0",
+  "version": "6.8.0",
   "repository": {
     "type": "git",
     "url": "https://github.com/plotly/plotly.py"
@@ -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": {
@@ -33,7 +33,7 @@
     "outputDir": "../plotly/labextension",
     "webpackConfig": "./webpack.config.js",
     "_build": {
-      "load": "static/remoteEntry.b2077f01f9b03ba2c63d.js",
+      "load": "static/remoteEntry.2a6392a40c19ad8383a0.js",
       "mimeExtension": "./mimeExtension"
     }
   }

pyproject.toml

@@ -33,7 +33,7 @@ classifiers = [
 requires-python = ">=3.8"
 license = "MIT"
 license-files = ["LICENSE.txt"]
-version = "6.7.0"
+version = "6.8.0"
 dependencies = [
     "narwhals>=1.15.1",
     "packaging"