Merge remote-tracking branch 'origin/main' into fix-numpy-percentile-issue-5461

Author: camdecoster

CHANGELOG.md

@@ -4,6 +4,20 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ## Unreleased
 
+## [6.6.0] - 2026-03-02
+
+### Fixed
+- Remove unneeded `type="text/javascript"` attribute from `<style>` tag [[#5454](https://github.com/plotly/plotly.py/pull/5454)], with thanks to @hannob for the contribution!
+- Remove global warning format side effect [[#5481](https://github.com/plotly/plotly.py/pull/5481)], with thanks to @emmanuel-ferdman for the contribution!
+- Fix spurious engine deprecation warning in write_image [[#5517](https://github.com/plotly/plotly.py/pull/5517)], with thanks to @mosh3eb for the contribution!
+
+### Updated
+- Update plotly.js from version 3.3.1 to version 3.4.0. See the plotly.js [release notes](https://github.com/plotly/plotly.js/releases/tag/v3.4.0) for more information. [[#5527](https://github.com/plotly/plotly.py/pull/5527)]. Notable changes include:
+  - Add support for clicking legend titles to toggle visibility of all traces in legend [[#7698](https://github.com/plotly/plotly.js/pull/7698)]
+  - Add support for shapes to reference multiple axes [[#7666](https://github.com/plotly/plotly.js/pull/7666)]
+  - Add support for dashed marker lines in scatter plots [[#7673](https://github.com/plotly/plotly.js/pull/7673)]
+  - Increase axis autorange when bar charts have outside text labels, to avoid labels being clipped [[#7675](https://github.com/plotly/plotly.js/pull/7675)]
+
 ## [6.5.2] - 2026-01-14
 
 ### Fixed

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: 6.5.2
+version: 6.6.0
 doi: 10.5281/zenodo.14503524
-date-released: 2026-01-14
+date-released: 2026-03-02
 url: "https://github.com/plotly/plotly.py"

codegen/resources/plot-schema.json

@@ -24,7 +24,7 @@
 # The short X.Y version
 version = ""
 # The full version, including alpha/beta/rc tags
-release = "6.5.0"
+release = "6.6.0"
 
 
 # -- General configuration ---------------------------------------------------

doc/apidoc/conf.py

@@ -33,7 +33,7 @@ jupyter:
     thumbnail: thumbnail/axes.png
 ---
 
-This tutorial explain how to set the properties of [2-dimensional Cartesian axes](/python/figure-structure/#2d-cartesian-trace-types-and-subplots), namely [`go.layout.XAxis`](/python/reference/layout/xaxis/) and [`go.layout.YAxis`](/python/reference/layout/xaxis/).
+This tutorial explains how to set the properties of [2-dimensional Cartesian axes](/python/figure-structure/#2d-cartesian-trace-types-and-subplots), namely [`go.layout.XAxis`](/python/reference/layout/xaxis/) and [`go.layout.YAxis`](/python/reference/layout/yaxis/).
 
 Other kinds of subplots and axes are described in other tutorials:
 

doc/python/axes.md

@@ -653,7 +653,7 @@ def pictogram_bar(data, title, icon_size, max_icons_per_column=10, units_per_ico
         title=title,
         xaxis=dict(
             tickvals=tick_locations,
-            # Label ecah category
+            # Label each category
             ticktext=list(data.keys()),
             tickangle=-45,
             showgrid=False,
@@ -772,7 +772,7 @@ fig.show()
 
 ### Colored and Styled Bar Chart
 
-In this example several parameters of the layout as customized, hence it is convenient to use directly the `go.Layout(...)` constructor instead of calling `fig.update`.
+In this example several parameters of the layout are customized, hence it is convenient to use directly the `go.Layout(...)` constructor instead of calling `fig.update`.
 
 ```python
 import plotly.graph_objects as go

doc/python/bar-charts.md

@@ -208,4 +208,4 @@ fig.show()
 
 #### Reference
 
-See [function reference for `px.(scatter_geo)`](https://plotly.com/python-api-reference/generated/plotly.express.scatter_geo) or https://plotly.com/python/reference/choropleth/ and https://plotly.com/python/reference/scattergeo/ for more information and chart attribute options!
+See [function reference for `px.scatter_geo`](https://plotly.com/python-api-reference/generated/plotly.express.scatter_geo) or https://plotly.com/python/reference/scattergeo/ for more information and chart attribute options!

doc/python/bubble-maps.md

@@ -258,7 +258,7 @@ fig = go.Figure(data=go.Choropleth(
 
 fig.update_layout(
     title_text = '2011 US Agriculture Exports by State',
-    geo_scope='usa', # limite map scope to USA
+    geo_scope='usa', # limit map scope to USA
 )
 
 fig.show()

doc/python/choropleth-maps.md

@@ -40,7 +40,7 @@ The `.show()` method that you use to display your figures also accepts a `config
 
 You can set the configuration options for your figure by passing a dictionary to this parameter which contains the options you want to set.
 
-If you don't set an option's value, it will be automatically be set to the default value for that option.
+If you don't set an option's value, it will automatically be set to the default value for that option.
 
 For the complete list of configuration options and their defaults see: https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js
 
@@ -348,7 +348,7 @@ fig = go.Figure(
         title='Google Stock Price Over Time with Mode Bar Disabled',
         xaxis=dict(
             title='Date',
-            # Try zooming in or out using the modebar buttons. These only apply to the yaxis in this exampe.
+            # Try zooming in or out using the modebar buttons. These only apply to the yaxis in this example.
             modebardisable='zoominout'
         ),
         yaxis=dict(

doc/python/configuration-options.md

@@ -281,7 +281,7 @@ import plotly.graph_objects as go
 df = px.data.iris()
 
 fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species", facet_col="species",
-                 title="Adding Traces To Subplots Witin A Plotly Express Figure")
+                 title="Adding Traces To Subplots Within A Plotly Express Figure")
 
 reference_line = go.Scatter(x=[2, 4],
                             y=[4, 8],
@@ -624,7 +624,7 @@ Figures created with the plotly.py graphing library also support:
 
 #### Chaining Figure Operations
 
-All of the figure update operations described above are methods that return a reference to the figure being modified. This makes it possible the chain multiple figure modification operations together into a single expression.
+All of the figure update operations described above are methods that return a reference to the figure being modified. This makes it possible to chain multiple figure modification operations together into a single expression.
 
 Here is an example of a chained expression that creates: