Make docs changes live

CHANGELOG.md

@@ -4,6 +4,15 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ## Unreleased
 
+## [6.5.0] - 2025-11-17
+
+### Updated
+- Update plotly.js from version 3.2.0 to version 3.3.0. See the plotly.js [release notes](https://github.com/plotly/plotly.js/releases/tag/v3.3.0) for more information. [[#5421](https://github.com/plotly/plotly.py/pull/5421)]. Notable changes include:
+  - Add `hovertemplate` for `candlestick` and `ohlc` traces [[#7619](https://github.com/plotly/plotly.js/pull/7619)]
+
+### Fixed
+- Fix bug where numpy datetime contained in Python list was converted to integer [[#5415](https://github.com/plotly/plotly.py/pull/5415)]
+
 ## [6.4.0] - 2025-11-02
 
 ### Updated

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: 6.4.0
+version: 6.5.0
 doi: 10.5281/zenodo.14503524
-date-released: 2025-11-02
+date-released: 2025-11-17
 url: "https://github.com/plotly/plotly.py"

_plotly_utils/basevalidators.py

@@ -22,6 +22,20 @@ def fullmatch(regex, string, flags=0):
     return re.match("(?:" + regex_string + r")\Z", string, flags=flags)
 
 
+def to_non_numpy_type(np, v):
+    """
+    Convert a numpy scalar value to a native Python type.
+    Calling .item() on a datetime64[ns] value returns an integer, since
+    Python datetimes only support microsecond precision. So we cast
+    datetime64[ns] to datetime64[us] to ensure it remains a datetime.
+
+    Should only be used in contexts where we already know `np` is defined.
+    """
+    if hasattr(v, "dtype") and v.dtype == np.dtype("datetime64[ns]"):
+        return v.astype("datetime64[us]").item()
+    return v.item()
+
+
 # Utility functions
 # -----------------
 def to_scalar_or_list(v):
@@ -35,12 +49,12 @@ def to_scalar_or_list(v):
     np = get_module("numpy", should_load=False)
     pd = get_module("pandas", should_load=False)
     if np and np.isscalar(v) and hasattr(v, "item"):
-        return v.item()
+        return to_non_numpy_type(np, v)
     if isinstance(v, (list, tuple)):
         return [to_scalar_or_list(e) for e in v]
     elif np and isinstance(v, np.ndarray):
         if v.ndim == 0:
-            return v.item()
+            return to_non_numpy_type(np, v)
         return [to_scalar_or_list(e) for e in v]
     elif pd and isinstance(v, (pd.Series, pd.Index)):
         return [to_scalar_or_list(e) for e in v]

codegen/resources/plot-schema.json

@@ -22186,12 +22186,30 @@
       "valType": "boolean"
      },
      "split": {
-      "description": "Show hover information (open, close, high, low) in separate labels.",
+      "description": "Show hover information (open, close, high, low) in separate labels, rather than a single unified label. Default: *false*. When set to *true*, `hovertemplate` is ignored.",
       "dflt": false,
       "editType": "style",
       "valType": "boolean"
      }
     },
+    "hovertemplate": {
+     "arrayOk": true,
+     "description": "Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example \"y: %{y}\" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, *xother* will be added to those with different x positions from the first point. An underscore before or after *(x|y)other* will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example \"Price: %{y:$.2f}\". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example \"Day: %{2019-01-01|%A}\". https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format for details on the date formatting syntax. Variables that can't be found will be replaced with the specifier. For example, a template of \"data: %{x}, %{y}\" will result in a value of \"data: 1, %{y}\" if x is 1 and y is missing. Variables with an undefined value will be replaced with the fallback value. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, all attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `open`, `high`, `low` and `close`. Anything contained in tag `<extra>` is displayed in the secondary box, for example `<extra>%{fullData.name}</extra>`. To hide the secondary box completely, use an empty tag `<extra></extra>`.",
+     "dflt": "",
+     "editType": "none",
+     "valType": "string"
+    },
+    "hovertemplatefallback": {
+     "description": "Fallback string that's displayed when a variable referenced in a template is missing. If the boolean value 'false' is passed in, the specifier with the missing variable will be displayed.",
+     "dflt": "-",
+     "editType": "none",
+     "valType": "any"
+    },
+    "hovertemplatesrc": {
+     "description": "Sets the source reference on Chart Studio Cloud for `hovertemplate`.",
+     "editType": "none",
+     "valType": "string"
+    },
     "hovertext": {
      "arrayOk": true,
      "description": "Same as `text`.",
@@ -52888,12 +52906,30 @@
       "valType": "boolean"
      },
      "split": {
-      "description": "Show hover information (open, close, high, low) in separate labels.",
+      "description": "Show hover information (open, close, high, low) in separate labels, rather than a single unified label. Default: *false*. When set to *true*, `hovertemplate` is ignored.",
       "dflt": false,
       "editType": "style",
       "valType": "boolean"
      }
     },
+    "hovertemplate": {
+     "arrayOk": true,
+     "description": "Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example \"y: %{y}\" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, *xother* will be added to those with different x positions from the first point. An underscore before or after *(x|y)other* will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example \"Price: %{y:$.2f}\". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example \"Day: %{2019-01-01|%A}\". https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format for details on the date formatting syntax. Variables that can't be found will be replaced with the specifier. For example, a template of \"data: %{x}, %{y}\" will result in a value of \"data: 1, %{y}\" if x is 1 and y is missing. Variables with an undefined value will be replaced with the fallback value. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, all attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `open`, `high`, `low` and `close`. Anything contained in tag `<extra>` is displayed in the secondary box, for example `<extra>%{fullData.name}</extra>`. To hide the secondary box completely, use an empty tag `<extra></extra>`.",
+     "dflt": "",
+     "editType": "none",
+     "valType": "string"
+    },
+    "hovertemplatefallback": {
+     "description": "Fallback string that's displayed when a variable referenced in a template is missing. If the boolean value 'false' is passed in, the specifier with the missing variable will be displayed.",
+     "dflt": "-",
+     "editType": "none",
+     "valType": "any"
+    },
+    "hovertemplatesrc": {
+     "description": "Sets the source reference on Chart Studio Cloud for `hovertemplate`.",
+     "editType": "none",
+     "valType": "string"
+    },
     "hovertext": {
      "arrayOk": true,
      "description": "Same as `text`.",

doc/apidoc/conf.py

@@ -24,7 +24,7 @@
 # The short X.Y version
 version = ""
 # The full version, including alpha/beta/rc tags
-release = "6.4.0"
+release = "6.5.0"
 
 
 # -- General configuration ---------------------------------------------------

doc/requirements.txt

@@ -1,4 +1,4 @@
-plotly==6.4.0
+plotly==6.5.0
 anywidget
 cufflinks==0.17.3
 dash-bio