Merge branch 'master' into recent-docs-updates

CHANGELOG.md

@@ -2,6 +2,14 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+## UNRELEASED
+
+### Updated
+- Updated Plotly.js from version 2.31.1 to version 2.32.0. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#2320----2024-04-23) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include:
+  - Add "bold" weight, "italic" style and "small-caps" variant options to fonts [#6956]
+  - Fix applying autotickangles on axes with showdividers as well as cases where tickson is set to "boundaries" [#6967], with thanks to @my-tien for the contribution!
+  - Fix positioning of multi-line axis titles with standoff [#6970], with thanks to @my-tien for the contribution!
+
 ## [5.21.0] - 2024-04-17
 
 ### Updated

doc/python/figure-labels.md

@@ -6,7 +6,7 @@ jupyter:
       extension: .md
       format_name: markdown
       format_version: '1.3'
-      jupytext_version: 1.14.5
+      jupytext_version: 1.16.1
   kernelspec:
     display_name: Python 3 (ipykernel)
     language: python
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.10.9
+    version: 3.10.11
   plotly:
     description: How to set the global font, title, legend-entries, and axis-titles
       in python.
@@ -159,6 +159,60 @@ fig.update_layout(
 fig.show()
 ```
 
+### Configuring Font Variant, Style, and  Weight
+
+*New in 5.22*
+
+You can configure a `variant`, `style`, and `weight` on `layout.font`. Here, we set the font variant to `small-caps`.
+
+```python
+import plotly.graph_objects as go
+from plotly import data
+
+df = data.iris()
+
+setosa_df = df[df["species"] == "setosa"]
+versicolor_df = df[df["species"] == "versicolor"]
+virginica_df = df[df["species"] == "virginica"]
+
+fig = go.Figure(
+    data=[
+        go.Scatter(
+            x=setosa_df["sepal_width"],
+            y=setosa_df["sepal_length"],
+            mode="markers",
+            name="setosa",
+        ),
+        go.Scatter(
+            x=versicolor_df["sepal_width"],
+            y=versicolor_df["sepal_length"],
+            mode="markers",
+            name="versicolor",
+        ),
+        go.Scatter(
+            x=virginica_df["sepal_width"],
+            y=virginica_df["sepal_length"],
+            mode="markers",
+            name="virginica",
+        ),
+    ],
+    layout=go.Layout(
+        title="Plot Title",
+        xaxis=dict(title="X Axis Title"),
+        yaxis=dict(title="Y Axis Title"),
+        legend=dict(title="Legend Title"),
+        font=dict(
+            family="Courier New, monospace",
+            size=18,
+            color="RebeccaPurple",
+            variant="small-caps",
+        )
+    )
+)
+
+fig.show()
+```
+
 The configuration of the legend is discussed in detail in the [Legends](/python/legend/) page.
 
 ### Align Plot Title

doc/python/text-and-annotations.md

@@ -307,7 +307,9 @@ fig.update_layout(
 fig.show()
 ```
 
-### Custom Text Color and Styling
+### Font Color, Size, and Familiy
+
+Use `textfont` to specify a font `family`, `size`, or `color`.
 
 ```python
 import plotly.graph_objects as go
@@ -347,6 +349,52 @@ fig.update_layout(showlegend=False)
 fig.show()
 ```
 
+### Font Style, Variant, and Weight
+
+*New in 5.22*
+
+You can also configure a font's `variant`, `style`, and `weight` on `textfont`. Here, we configure an `italic` style on the first bar, `bold` weight on the second, and`small-caps` as the font variant on the third.
+
+```python
+import plotly.graph_objects as go
+from plotly import data
+
+df = data.medals_wide()
+
+fig = go.Figure(
+    data=[
+        go.Bar(
+            x=df.nation,
+            y=df.gold,
+            name="Gold",
+            marker=dict(color="Gold"),
+            text="Gold",
+            textfont=dict(style="italic"),
+        ),
+        go.Bar(
+            x=df.nation,
+            y=df.silver,
+            name="Silver",
+            marker=dict(color="MediumTurquoise"),
+            text="Silver",
+            textfont=dict(weight="bold"),
+        ),
+        go.Bar(
+            x=df.nation,
+            y=df.bronze,
+            name="Bronze",
+            marker=dict(color="LightGreen"),
+            text="Bronze",
+            textfont=dict(variant="small-caps"),
+        ),
+    ],
+    layout=dict(barcornerradius=15, showlegend=False),
+)
+
+fig.show()
+
+```
+
 ### Styling and Coloring Annotations
 
 ```python

packages/javascript/jupyterlab-plotly/package.json

@@ -65,7 +65,7 @@
     "@lumino/messaging": "^1.2.3",
     "@lumino/widgets": "^1.8.1",
     "lodash": "^4.17.4",
-    "plotly.js": "^2.31.1"
+    "plotly.js": "^2.32.0"
   },
   "jupyterlab": {
     "extension": "lib/jupyterlab-plugin",