ȯeiaoxUddlmZddlZddlmZddlmZmZmZm Z m Z m Z m Z m Z mZddlmZddlmZddlmZmZddlmZdd lmZmZmZmZmZdd lmZdd l m!Z!dd l"m#Z#m$Z$m%Z%dd l&m'Z'ddl(m)Z)ddl*m+Z,ddl-m.Z.ddl/m0Z0ddl1m2Z2m3Z3ddl4m5Z5erddl6m7Z7ddl8Z9ddl:m;Z<ddl=m>Z>ddl?m@Z@e!e dZAdeBd<e eAeCeAeDeEeAfddfZFdeBd<e dZGdeBd<hdZHd eBd!<e)eIZJd"eBd#<Gd$d%e d&'ZKGd(d)e d&'ZLeGd*d+ZM d1d,ZNd2d-ZOd3d.ZPGd/d0ZQy)4) annotationsN) dataclass) TYPE_CHECKINGAnyFinalLiteral TypeAlias TypedDictUnioncastoverload)Required) type_util)make_deprecated_name_warningshow_deprecation_warning)current_form_id)Height LayoutConfigWidthvalidate_heightvalidate_width)check_widget_policies) configure_streamlit_plotly_theme)Keycompute_and_register_element_idto_key)StreamlitAPIException) get_logger) PlotlyChart)gather_metrics)get_script_run_ctx)WidgetCallbackregister_widget)AttributeDictionary)Iterable) BaseFigure)DeltaGenerator)z go.Figurezgo.Datar _AtomicFigureOrDatar&zmpl.figure.Figure FigureOrData)lassopointsbox SelectionMode>r,r*r+zFinal[set[SelectionMode]]_SELECTION_MODESr_LOGGERc:eZdZUdZded<ded<ded<ded<y) PlotlySelectionStateat The schema for the Plotly chart selection state. The selection state is stored in a dictionary-like object that supports both key and attribute notation. Selection states cannot be programmatically changed or set through Session State. Attributes ---------- points : list[dict[str, Any]] The selected data points in the chart, including the data points selected by the box and lasso mode. The data includes the values associated to each point and a point index used to populate ``point_indices``. If additional information has been assigned to your points, such as size or legend group, this is also included. point_indices : list[int] The numerical indices of all selected data points in the chart. The details of each identified point are included in ``points``. box : list[dict[str, Any]] The metadata related to the box selection. This includes the coordinates of the selected area. lasso : list[dict[str, Any]] The metadata related to the lasso selection. This includes the coordinates of the selected area. Example ------- When working with more complicated graphs, the ``points`` attribute displays additional information. Try selecting points in the following example: >>> import plotly.express as px >>> import streamlit as st >>> >>> df = px.data.iris() >>> fig = px.scatter( ... df, ... x="sepal_width", ... y="sepal_length", ... color="species", ... size="petal_length", ... hover_data=["petal_width"], ... ) >>> >>> event = st.plotly_chart(fig, key="iris", on_select="rerun") >>> >>> event.selection .. output:: https://doc-chart-events-plotly-selection-state.streamlit.app height: 600px This is an example of the selection state when selecting a single point: >>> { >>> "points": [ >>> { >>> "curve_number": 2, >>> "point_number": 9, >>> "point_index": 9, >>> "x": 3.6, >>> "y": 7.2, >>> "customdata": [ >>> 2.5 >>> ], >>> "marker_size": 6.1, >>> "legendgroup": "virginica" >>> } >>> ], >>> "point_indices": [ >>> 9 >>> ], >>> "box": [], >>> "lasso": [] >>> } zRequired[list[dict[str, Any]]]r+zRequired[list[int]] point_indicesr,r*N__name__ __module__ __qualname____doc____annotations__a/var/www/html/glpi_dashboard/venv/lib/python3.12/site-packages/streamlit/elements/plotly_chart.pyr1r1\s#Ob +*&& '' ))r:r1F)totalceZdZUdZded<y) PlotlyStatea The schema for the Plotly chart event state. The event state is stored in a dictionary-like object that supports both key and attribute notation. Event states cannot be programmatically changed or set through Session State. Only selection events are supported at this time. Attributes ---------- selection : dict The state of the ``on_select`` event. This attribute returns a dictionary-like object that supports both key and attribute notation. The attributes are described by the ``PlotlySelectionState`` dictionary schema. Example ------- Try selecting points by any of the three available methods (direct click, box, or lasso). The current selection state is available through Session State or as the output of the chart function. >>> import plotly.express as px >>> import streamlit as st >>> >>> df = px.data.iris() >>> fig = px.scatter(df, x="sepal_width", y="sepal_length") >>> >>> event = st.plotly_chart(fig, key="iris", on_select="rerun") >>> >>> event .. output:: https://doc-chart-events-plotly-state.streamlit.app height: 600px zRequired[PlotlySelectionState] selectionNr3r9r:r;r>r>s%N.-r:r>c eZdZdZddZddZy)PlotlyChartSelectionSerdeziPlotlyChartSelectionSerde is used to serialize and deserialize the Plotly Chart selection state. cdggggdi}||n'tdttj|}d|vr|}tdt|S)Nr?)r+r2r,r*r>)r r$jsonloads)selfui_valueempty_selection_stateselection_states r; deserializez%PlotlyChartSelectionSerde.deserializesk !# .  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Args ---- width : Width The original width parameter figure : Any The plotly figure object (Figure, dict, or other supported formats) Returns ------- Width The resolved width (either original width, figure width as pixels, or 700) contentNlayoutwidthz!Could not parse width from figureri) rQdictgetr`raAttributeError TypeErrorr/debugintfloat)rafigure figure_widths r;_resolve_content_widthrks(  L&$zz(B/33G<  ?!==..L  |c5\ 2 1 <    * ? MM= > ?A<<$B#"B#cL|dk7r|Sd}t|tr"|jdijd}n |jj}|&t|ttfr|dkDr t|Sy#t t f$rtjdYOwxYw)aCResolve "content" height by inspecting the figure's layout height. For content height, we check if the plotly figure has an explicit height in its layout. If so, we use that as a pixel height. If not, we default to 450 pixels which matches the plotly.js default height. Args ---- height : Height The original height parameter figure : Any The plotly figure object (Figure, dict, or other supported formats) Returns ------- Height The resolved height (either original height, figure height as pixels, or 450) r_Nr`heightz"Could not parse height from figureri) rQrbrcr`rnrdrer/rfrgrh)rnri figure_heights r;_resolve_content_heightrpIs( M&$ 8R044X>  @"MM00M ! }sEl 3 A =!!  * @ MM> ? @rlc eZdZe ddddddd ddZe dddddddd  dd Zed  dddddd ddd  ddZeddZy) PlotlyMixinNstretchr_ streamlit)r+r,r*)rarnthemekeyrYc yNr9 rEfigure_or_datause_container_widthrarnrurv on_selectrYkwargss r; plotly_chartzPlotlyMixin.plotly_chartys"r:rerun)rarnrurvr|rYc yrxr9rys r;r~zPlotlyMixin.plotly_charts"r:r~ignore)rarnrurvr|rYconfigc |2ttdddddd|rd }nt|tsd }t |d t |d d dl} d dl} | r td|dvrtd|d|dvrt|std|dt|}|dk7} | r4t|} t|j|| r td|nddd| tj|dr| j j#|}n| j j%|d }t'}|xsd|_t+|j|_| xsi} | j.j1|d|_t5j6| |_t;}t=d|d|j|j2|j8|| ||| |_tA||}tC||}| r|jDjGtI|tK}tM|j>t|r|nd|jN|jP|d}tS|| }|jjUd||!|jVStS|| }|jjUd||!S)"a8%Display an interactive Plotly chart. `Plotly `_ is a charting library for Python. The arguments to this function closely follow the ones for Plotly's ``plot()`` function. To show Plotly charts in Streamlit, call ``st.plotly_chart`` wherever you would call Plotly's ``py.plot`` or ``py.iplot``. .. Important:: You must install ``plotly>=4.0.0`` to use this command. Your app's performance may be enhanced by installing ``orjson`` as well. You can install all charting dependencies (except Bokeh) as an extra with Streamlit: .. code-block:: shell pip install streamlit[charts] Parameters ---------- figure_or_data : plotly.graph_objs.Figure, plotly.graph_objs.Data, or dict/list of plotly.graph_objs.Figure/Data The Plotly ``Figure`` or ``Data`` object to render. See https://plot.ly/python/ for examples of graph descriptions. .. note:: If your chart contains more than 1000 data points, Plotly will use a WebGL renderer to display the chart. Different browsers have different limits on the number of WebGL contexts per page. If you have multiple WebGL contexts on a page, you may need to switch to SVG rendering mode. You can do this by setting ``render_mode="svg"`` within the figure. For example, the following code defines a Plotly Express line chart that will render in SVG mode when passed to ``st.plotly_chart``: ``px.line(df, x="x", y="y", render_mode="svg")``. width : "stretch", "content", or int The width of the chart element. This can be one of the following: - ``"stretch"`` (default): The width of the element matches the width of the parent container. - ``"content"``: The width of the element matches the width of its content, but doesn't exceed the width of the parent container. - An integer specifying the width in pixels: The element has a fixed width. If the specified width is greater than the width of the parent container, the width of the element matches the width of the parent container. height : "content", "stretch", or int The height of the chart element. This can be one of the following: - ``"content"`` (default): The height of the element matches the height of its content. - ``"stretch"``: The height of the element matches the height of its content or the height of the parent container, whichever is larger. If the element is not in a parent container, the height of the element matches the height of its content. - An integer specifying the height in pixels: The element has a fixed height. If the content is larger than the specified height, scrolling is enabled. use_container_width : bool or None Whether to override the figure's native width with the width of the parent container. This can be one of the following: - ``None`` (default): Streamlit will use the value of ``width``. - ``True``: Streamlit sets the width of the figure to match the width of the parent container. - ``False``: Streamlit sets the width of the figure to fit its contents according to the plotting library, up to the width of the parent container. .. deprecated:: ``use_container_width`` is deprecated and will be removed in a future release. For ``use_container_width=True``, use ``width="stretch"``. theme : "streamlit" or None The theme of the chart. If ``theme`` is ``"streamlit"`` (default), Streamlit uses its own design default. If ``theme`` is ``None``, Streamlit falls back to the default behavior of the library. The ``"streamlit"`` theme can be partially customized through the configuration options ``theme.chartCategoricalColors`` and ``theme.chartSequentialColors``. Font configuration options are also applied. key : str An optional string to use for giving this element a stable identity. If ``key`` is ``None`` (default), this element's identity will be determined based on the values of the other parameters. Additionally, if selections are activated and ``key`` is provided, Streamlit will register the key in Session State to store the selection state. The selection state is read-only. on_select : "ignore" or "rerun" or callable How the figure should respond to user selection events. This controls whether or not the figure behaves like an input widget. ``on_select`` can be one of the following: - ``"ignore"`` (default): Streamlit will not react to any selection events in the chart. The figure will not behave like an input widget. - ``"rerun"``: Streamlit will rerun the app when the user selects data in the chart. In this case, ``st.plotly_chart`` will return the selection data as a dictionary. - A ``callable``: Streamlit will rerun the app and execute the ``callable`` as a callback function before the rest of the app. In this case, ``st.plotly_chart`` will return the selection data as a dictionary. selection_mode : "points", "box", "lasso" or an Iterable of these The selection mode of the chart. This can be one of the following: - ``"points"``: The chart will allow selections based on individual data points. - ``"box"``: The chart will allow selections based on rectangular areas. - ``"lasso"``: The chart will allow selections based on freeform areas. - An ``Iterable`` of the above options: The chart will allow selections based on the modes specified. All selections modes are activated by default. config : dict or None A dictionary of Plotly configuration options. This is passed to Plotly's ``show()`` function. For more information about Plotly configuration options, see Plotly's documentation on `Configuration in Python `_. **kwargs Additional arguments accepted by Plotly's ``plot()`` function. This supports ``config``, a dictionary of Plotly configuration options. For more information about Plotly configuration options, see Plotly's documentation on `Configuration in Python `_. .. deprecated:: ``**kwargs`` are deprecated and will be removed in a future release. Use ``config`` instead. Returns ------- element or dict If ``on_select`` is ``"ignore"`` (default), this command returns an internal placeholder for the chart element. Otherwise, this command returns a dictionary-like object that supports both key and attribute notation. The attributes are described by the ``PlotlyState`` dictionary schema. Examples -------- **Example 1: Basic Plotly chart** The example below comes from the examples at https://plot.ly/python. Note that ``plotly.figure_factory`` requires ``scipy`` to run. >>> import plotly.figure_factory as ff >>> import streamlit as st >>> from numpy.random import default_rng as rng >>> >>> hist_data = [ ... rng(0).standard_normal(200) - 2, ... rng(1).standard_normal(200), ... rng(2).standard_normal(200) + 2, ... ] >>> group_labels = ["Group 1", "Group 2", "Group 3"] >>> >>> fig = ff.create_distplot( ... hist_data, group_labels, bin_size=[0.1, 0.25, 0.5] ... ) >>> >>> st.plotly_chart(fig) .. output:: https://doc-plotly-chart.streamlit.app/ height: 550px **Example 2: Plotly Chart with configuration** By default, Plotly charts have scroll zoom enabled. If you have a longer page and want to avoid conflicts between page scrolling and zooming, you can use Plotly's configuration options to disable scroll zoom. In the following example, scroll zoom is disabled, but the zoom buttons are still enabled in the modebar. >>> import plotly.graph_objects as go >>> import streamlit as st >>> >>> fig = go.Figure() >>> fig.add_trace( ... go.Scatter( ... x=[1, 2, 3, 4, 5], ... y=[1, 3, 2, 5, 4] ... ) ... ) >>> >>> st.plotly_chart(fig, config = {'scrollZoom': False}) .. output:: https://doc-plotly-chart-config.streamlit.app/ height: 550px Nr{raz 2025-12-31znFor `use_container_width=True`, use `width='stretch'`. For `use_container_width=False`, use `width='content'`.F)include_st_prefix)show_in_browserrsr_T) allow_contentrzVariable keyword arguments for `st.plotly_chart` have been deprecated and will be removed in a future release. Use the `config` argument instead to specify Plotly configuration options.)rtNzYou set theme="us" while Streamlit charts only support theme=”streamlit” or theme=None to fallback to the default library theme.)rrzYou have passed zH to `on_select`. 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L){<PM GG   2-   %% %$;|L ww .m   r:ctd|S)zGet our DeltaGenerator.r')r )rEs r;rzPlotlyMixin.dgs$d++r:rx)rzr)r{ bool | NonerarrnrruLiteral['streamlit'] | Nonerv Key | Noner|zLiteral['ignore']rY'SelectionMode | Iterable[SelectionMode]r}rrOr')rzr)r{rrarrnrrurrvrr|z!Literal['rerun'] | WidgetCallbackrYrr}rrOr>)rzr)r{rrarrnrrurrvrr|z+Literal['rerun', 'ignore'] | WidgetCallbackrYrrzdict[str, Any] | Noner}rrOzDeltaGenerator | PlotlyState)rOr')r4r5r6r r~r propertyrr9r:r;rrrrxs ,0 !"-8C $)    +%@ !$,0 !"-87>C $)    +5@ !$N#,0f !"-8AIC )-f $f )f  f  f +f f ?f @f &f !f " &#f $f P ,,r:rr)rYrrOz-set[PlotlyChartProto.SelectionMode.ValueType])rarrirrOr)rnrrirrOr)R __future__rrC dataclassesrtypingrrrrr r r r r typing_extensionsrrtrstreamlit.deprecation_utilrr!streamlit.elements.lib.form_utilsr#streamlit.elements.lib.layout_utilsrrrrrstreamlit.elements.lib.policiesr-streamlit.elements.lib.streamlit_plotly_themerstreamlit.elements.lib.utilsrrrstreamlit.errorsrstreamlit.loggerrstreamlit.proto.PlotlyChart_pb2rrUstreamlit.runtime.metrics_utilr 7streamlit.runtime.scriptrunner_utils.script_run_contextr!streamlit.runtime.stater"r#streamlit.utilr$collections.abcr% matplotlibmplplotly.graph_objs graph_objsgoplotly.basedatatypesr&streamlit.delta_generatorr'r(r8listrbrMr)r-r.r4r/r1r>rAr]rkrprrr9r:r;rsb# !   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