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Commiteb1dfd8

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authored
Merge branch 'doc-prod' into add-maps
2 parentsa90127a +9438a05 commiteb1dfd8

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-5120
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25 files changed

+5821
-5120
lines changed

‎CHANGELOG.md‎

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@@ -4,6 +4,15 @@ This project adheres to [Semantic Versioning](http://semver.org/).
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##Unreleased
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##[6.5.0] - 2025-11-17
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###Updated
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- 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:
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- Add`hovertemplate` for`candlestick` and`ohlc` traces[[#7619](https://github.com/plotly/plotly.js/pull/7619)]
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###Fixed
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- Fix bug where numpy datetime contained in Python list was converted to integer[[#5415](https://github.com/plotly/plotly.py/pull/5415)]
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##[6.4.0] - 2025-11-02
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###Updated

‎CITATION.cff‎

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@@ -9,7 +9,7 @@ authors:
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-family-names:"Parmer"
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given-names:"Chris"
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title:"An interactive, open-source, and browser-based graphing library for Python"
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version:6.4.0
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version:6.5.0
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doi:10.5281/zenodo.14503524
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date-released:2025-11-02
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date-released:2025-11-17
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url:"https://github.com/plotly/plotly.py"

‎_plotly_utils/basevalidators.py‎

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@@ -22,6 +22,20 @@ def fullmatch(regex, string, flags=0):
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returnre.match("(?:"+regex_string+r")\Z",string,flags=flags)
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defto_non_numpy_type(np,v):
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"""
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Convert a numpy scalar value to a native Python type.
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Calling .item() on a datetime64[ns] value returns an integer, since
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Python datetimes only support microsecond precision. So we cast
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datetime64[ns] to datetime64[us] to ensure it remains a datetime.
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Should only be used in contexts where we already know `np` is defined.
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"""
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ifhasattr(v,"dtype")andv.dtype==np.dtype("datetime64[ns]"):
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returnv.astype("datetime64[us]").item()
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returnv.item()
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# Utility functions
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# -----------------
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defto_scalar_or_list(v):
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np=get_module("numpy",should_load=False)
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pd=get_module("pandas",should_load=False)
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ifnpandnp.isscalar(v)andhasattr(v,"item"):
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returnv.item()
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returnto_non_numpy_type(np,v)
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ifisinstance(v, (list,tuple)):
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return [to_scalar_or_list(e)foreinv]
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elifnpandisinstance(v,np.ndarray):
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ifv.ndim==0:
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returnv.item()
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returnto_non_numpy_type(np,v)
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return [to_scalar_or_list(e)foreinv]
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elifpdandisinstance(v, (pd.Series,pd.Index)):
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return [to_scalar_or_list(e)foreinv]

‎codegen/resources/plot-schema.json‎

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"valType": "boolean"
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},
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"split": {
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"description": "Show hover information (open, close, high, low) in separate labels.",
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"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.",
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"dflt": false,
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"editType": "style",
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"valType": "boolean"
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}
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},
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"hovertemplate": {
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"arrayOk": true,
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"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>`.",
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"dflt": "",
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"editType": "none",
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"valType": "string"
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},
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"hovertemplatefallback": {
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"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.",
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"dflt": "-",
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"editType": "none",
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"valType": "any"
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},
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"hovertemplatesrc": {
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"description": "Sets the source reference on Chart Studio Cloud for `hovertemplate`.",
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"editType": "none",
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"valType": "string"
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},
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"hovertext": {
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"arrayOk": true,
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"description": "Same as `text`.",
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"valType": "boolean"
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},
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"split": {
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"description": "Show hover information (open, close, high, low) in separate labels.",
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"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.",
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"dflt": false,
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"editType": "style",
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"valType": "boolean"
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}
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},
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"hovertemplate": {
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"arrayOk": true,
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"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>`.",
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"dflt": "",
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"editType": "none",
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"valType": "string"
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},
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"hovertemplatefallback": {
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"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.",
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"dflt": "-",
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"editType": "none",
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"valType": "any"
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},
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"hovertemplatesrc": {
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"description": "Sets the source reference on Chart Studio Cloud for `hovertemplate`.",
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"editType": "none",
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"valType": "string"
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},
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"hovertext": {
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"arrayOk": true,
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"description": "Same as `text`.",

‎doc/apidoc/conf.py‎

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

‎doc/requirements.txt‎

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plotly==6.4.0
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plotly==6.5.0
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anywidget
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cufflinks==0.17.3
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dash-bio

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