upgrade Plotly.js to 2.13.2

CHANGELOG.md

@@ -2,6 +2,13 @@
 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 to from version 2.12.1 to version 2.13.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#2132----2022-07-21) for more information. Notable changes include:
+    - Add `selections`, `newselection` and `activeselection` layout attributes to have persistent and editable selections over cartesian subplots
+    - Add `unselected.line.color` and `unselected.line.opacity` options to `parcoords` trace
+    - Display Plotly's new logo in the modebar
 
 ## [5.9.0] - 2022-06-23
 

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": "^2.12.1"
+    "plotly.js": "^2.13.2"
   },
   "jupyterlab": {
     "extension": "lib/jupyterlab-plugin",

packages/python/plotly/plotly/graph_objs/_box.py

@@ -1244,15 +1244,15 @@ def quartilemethod(self):
         Sets the method used to compute the sample's Q1 and Q3
         quartiles. The "linear" method uses the 25th percentile for Q1
         and 75th percentile for Q3 as computed using method #10 (listed
-        on http://www.amstat.org/publications/jse/v14n3/langford.html).
-        The "exclusive" method uses the median to divide the ordered
-        dataset into two halves if the sample is odd, it does not
-        include the median in either half - Q1 is then the median of
-        the lower half and Q3 the median of the upper half. The
-        "inclusive" method also uses the median to divide the ordered
-        dataset into two halves but if the sample is odd, it includes
-        the median in both halves - Q1 is then the median of the lower
-        half and Q3 the median of the upper half.
+        on http://jse.amstat.org/v14n3/langford.html). The "exclusive"
+        method uses the median to divide the ordered dataset into two
+        halves if the sample is odd, it does not include the median in
+        either half - Q1 is then the median of the lower half and Q3
+        the median of the upper half. The "inclusive" method also uses
+        the median to divide the ordered dataset into two halves but if
+        the sample is odd, it includes the median in both halves - Q1
+        is then the median of the lower half and Q3 the median of the
+        upper half.
 
         The 'quartilemethod' property is an enumeration that may be specified as:
           - One of the following enumeration values:
@@ -2312,17 +2312,17 @@ def _prop_descriptions(self):
             Sets the method used to compute the sample's Q1 and Q3
             quartiles. The "linear" method uses the 25th percentile
             for Q1 and 75th percentile for Q3 as computed using
-            method #10 (listed on http://www.amstat.org/publication
-            s/jse/v14n3/langford.html). The "exclusive" method uses
-            the median to divide the ordered dataset into two
-            halves if the sample is odd, it does not include the
-            median in either half - Q1 is then the median of the
-            lower half and Q3 the median of the upper half. The
-            "inclusive" method also uses the median to divide the
-            ordered dataset into two halves but if the sample is
-            odd, it includes the median in both halves - Q1 is then
-            the median of the lower half and Q3 the median of the
-            upper half.
+            method #10 (listed on
+            http://jse.amstat.org/v14n3/langford.html). The
+            "exclusive" method uses the median to divide the
+            ordered dataset into two halves if the sample is odd,
+            it does not include the median in either half - Q1 is
+            then the median of the lower half and Q3 the median of
+            the upper half. The "inclusive" method also uses the
+            median to divide the ordered dataset into two halves
+            but if the sample is odd, it includes the median in
+            both halves - Q1 is then the median of the lower half
+            and Q3 the median of the upper half.
         sd
             Sets the standard deviation values. There should be as
             many items as the number of boxes desired. This
@@ -2846,17 +2846,17 @@ def __init__(
             Sets the method used to compute the sample's Q1 and Q3
             quartiles. The "linear" method uses the 25th percentile
             for Q1 and 75th percentile for Q3 as computed using
-            method #10 (listed on http://www.amstat.org/publication
-            s/jse/v14n3/langford.html). The "exclusive" method uses
-            the median to divide the ordered dataset into two
-            halves if the sample is odd, it does not include the
-            median in either half - Q1 is then the median of the
-            lower half and Q3 the median of the upper half. The
-            "inclusive" method also uses the median to divide the
-            ordered dataset into two halves but if the sample is
-            odd, it includes the median in both halves - Q1 is then
-            the median of the lower half and Q3 the median of the
-            upper half.
+            method #10 (listed on
+            http://jse.amstat.org/v14n3/langford.html). The
+            "exclusive" method uses the median to divide the
+            ordered dataset into two halves if the sample is odd,
+            it does not include the median in either half - Q1 is
+            then the median of the lower half and Q3 the median of
+            the upper half. The "inclusive" method also uses the
+            median to divide the ordered dataset into two halves
+            but if the sample is odd, it includes the median in
+            both halves - Q1 is then the median of the lower half
+            and Q3 the median of the upper half.
         sd
             Sets the standard deviation values. There should be as
             many items as the number of boxes desired. This