398 lines
15 KiB
Python
398 lines
15 KiB
Python
# AUTO GENERATED FILE - DO NOT EDIT
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from dash.development.base_component import Component, _explicitize_args
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class Graph(Component):
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"""A Graph component.
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Graph can be used to render any plotly.js-powered data visualization.
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You can define callbacks based on user interaction with Graphs such as
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hovering, clicking or selecting
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Keyword arguments:
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- id (string; optional):
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The ID of this component, used to identify dash components in
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callbacks. The ID needs to be unique across all of the components
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in an app.
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- animate (boolean; default False):
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Beta: If True, animate between updates using plotly.js's `animate`
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function.
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- animation_options (dict; default { frame: { redraw: False, }, transition: { duration: 750, ease: 'cubic-in-out', },}):
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Beta: Object containing animation settings. Only applies if
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`animate` is `True`.
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- className (string; optional):
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className of the parent div.
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- clear_on_unhover (boolean; default False):
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If True, `clear_on_unhover` will clear the `hoverData` property
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when the user \"unhovers\" from a point. If False, then the
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`hoverData` property will be equal to the data from the last point
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that was hovered over.
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- clickAnnotationData (dict; optional):
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Data from latest click annotation event. Read-only.
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- clickData (dict; optional):
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Data from latest click event. Read-only.
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- config (dict; optional):
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Plotly.js config options. See
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https://plotly.com/javascript/configuration-options/ for more
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info.
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`config` is a dict with keys:
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- autosizable (boolean; optional):
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DO autosize once regardless of layout.autosize (use default
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width or height values otherwise).
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- displayModeBar (a value equal to: true, false, 'hover'; optional):
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Display the mode bar (True, False, or 'hover').
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- displaylogo (boolean; optional):
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Add the plotly logo on the end of the mode bar.
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- doubleClick (a value equal to: false, 'reset', 'autosize', 'reset+autosize'; optional):
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Double click interaction (False, 'reset', 'autosize' or
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'reset+autosize').
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- doubleClickDelay (number; optional):
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Delay for registering a double-click event in ms. The minimum
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value is 100 and the maximum value is 1000. By default this is
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300.
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- editSelection (boolean; optional):
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Enables moving selections.
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- editable (boolean; optional):
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We can edit titles, move annotations, etc - sets all pieces of
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`edits` unless a separate `edits` config item overrides
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individual parts.
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- edits (dict; optional):
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A set of editable properties.
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`edits` is a dict with keys:
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- annotationPosition (boolean; optional):
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The main anchor of the annotation, which is the text (if
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no arrow) or the arrow (which drags the whole thing
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leaving the arrow length & direction unchanged).
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- annotationTail (boolean; optional):
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Just for annotations with arrows, change the length and
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direction of the arrow.
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- annotationText (boolean; optional)
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- axisTitleText (boolean; optional)
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- colorbarPosition (boolean; optional)
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- colorbarTitleText (boolean; optional)
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- legendPosition (boolean; optional)
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- legendText (boolean; optional):
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Edit the trace name fields from the legend.
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- shapePosition (boolean; optional)
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- titleText (boolean; optional):
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The global `layout.title`.
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- fillFrame (boolean; optional):
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If we DO autosize, do we fill the container or the screen?.
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- frameMargins (number; optional):
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If we DO autosize, set the frame margins in percents of plot
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size.
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- linkText (string; optional):
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Text appearing in the sendData link.
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- locale (string; optional):
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The locale to use. Locales may be provided with the plot
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(`locales` below) or by loading them on the page, see:
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https://github.com/plotly/plotly.js/blob/master/dist/README.md#to-include-localization.
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- locales (dict; optional):
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Localization definitions, if you choose to provide them with
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the plot rather than registering them globally.
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- mapboxAccessToken (boolean | number | string | dict | list; optional):
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Mapbox access token (required to plot mapbox trace types) If
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using an Mapbox Atlas server, set this option to '', so that
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plotly.js won't attempt to authenticate to the public Mapbox
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server.
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- modeBarButtons (boolean | number | string | dict | list; optional):
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Fully custom mode bar buttons as nested array, where the outer
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arrays represents button groups, and the inner arrays have
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buttons config objects or names of default buttons.
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- modeBarButtonsToAdd (list; optional):
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Add mode bar button using config objects.
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- modeBarButtonsToRemove (list; optional):
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Remove mode bar button by name. All modebar button names at
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https://github.com/plotly/plotly.js/blob/master/src/components/modebar/buttons.js
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Common names include: sendDataToCloud; (2D) zoom2d, pan2d,
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select2d, lasso2d, zoomIn2d, zoomOut2d, autoScale2d,
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resetScale2d; (Cartesian) hoverClosestCartesian,
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hoverCompareCartesian; (3D) zoom3d, pan3d, orbitRotation,
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tableRotation, handleDrag3d, resetCameraDefault3d,
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resetCameraLastSave3d, hoverClosest3d; (Geo) zoomInGeo,
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zoomOutGeo, resetGeo, hoverClosestGeo; hoverClosestGl2d,
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hoverClosestPie, toggleHover, resetViews.
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- plotGlPixelRatio (number; optional):
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Increase the pixel ratio for Gl plot images.
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- plotlyServerURL (string; optional):
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Base URL for a Plotly cloud instance, if `showSendToCloud` is
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enabled.
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- queueLength (number; optional):
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Set the length of the undo/redo queue.
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- responsive (boolean; optional):
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Whether to change layout size when the window size changes.
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- scrollZoom (boolean; optional):
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Mousewheel or two-finger scroll zooms the plot.
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- sendData (boolean; optional):
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If we show a link, does it contain data or just link to a
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plotly file?.
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- showAxisDragHandles (boolean; optional):
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Enable axis pan/zoom drag handles.
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- showAxisRangeEntryBoxes (boolean; optional):
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Enable direct range entry at the pan/zoom drag points (drag
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handles must be enabled above).
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- showEditInChartStudio (boolean; optional):
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Should we show a modebar button to send this data to a Plotly
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Chart Studio plot. If both this and showSendToCloud are
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selected, only showEditInChartStudio will be honored. By
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default this is False.
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- showLink (boolean; optional):
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Link to open this plot in plotly.
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- showSendToCloud (boolean; optional):
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Should we include a modebar button to send this data to a
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Plotly Cloud instance, linked by `plotlyServerURL`. By default
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this is False.
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- showTips (boolean; optional):
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New users see some hints about interactivity.
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- staticPlot (boolean; optional):
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No interactivity, for export or image generation.
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- toImageButtonOptions (dict; optional):
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Modifications to how the toImage modebar button works.
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`toImageButtonOptions` is a dict with keys:
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- filename (string; optional):
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The name given to the downloaded file.
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- format (a value equal to: 'jpeg', 'png', 'webp', 'svg'; optional):
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The file format to create.
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- height (number; optional):
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Height of the downloaded file, in px.
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- scale (number; optional):
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Extra resolution to give the file after rendering it with
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the given width and height.
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- width (number; optional):
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Width of the downloaded file, in px.
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- topojsonURL (string; optional):
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URL to topojson files used in geo charts.
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- watermark (boolean; optional):
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Add the plotly logo even with no modebar.
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- extendData (list | dict; optional):
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Data that should be appended to existing traces. Has the form
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`[updateData, traceIndices, maxPoints]`, where `updateData` is an
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object containing the data to extend, `traceIndices` (optional) is
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an array of trace indices that should be extended, and `maxPoints`
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(optional) is either an integer defining the maximum number of
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points allowed or an object with key:value pairs matching
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`updateData` Reference the Plotly.extendTraces API for full usage:
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https://plotly.com/javascript/plotlyjs-function-reference/#plotlyextendtraces.
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- figure (dict; default { data: [], layout: {}, frames: [],}):
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Plotly `figure` object. See schema:
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https://plotly.com/javascript/reference `config` is set
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separately by the `config` property.
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`figure` is a dict with keys:
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- data (list of dicts; optional)
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- frames (list of dicts; optional)
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- layout (dict; optional)
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- hoverData (dict; optional):
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Data from latest hover event. Read-only.
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- loading_state (dict; optional):
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Object that holds the loading state object coming from
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dash-renderer.
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`loading_state` is a dict with keys:
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- component_name (string; optional):
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Holds the name of the component that is loading.
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- is_loading (boolean; optional):
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Determines if the component is loading or not.
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- prop_name (string; optional):
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Holds which property is loading.
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- mathjax (boolean; default False):
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If True, loads mathjax v3 (tex-svg) into the page and use it in
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the graph.
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- prependData (list | dict; optional):
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Data that should be prepended to existing traces. Has the form
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`[updateData, traceIndices, maxPoints]`, where `updateData` is an
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object containing the data to prepend, `traceIndices` (optional)
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is an array of trace indices that should be prepended, and
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`maxPoints` (optional) is either an integer defining the maximum
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number of points allowed or an object with key:value pairs
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matching `updateData` Reference the Plotly.prependTraces API for
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full usage:
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https://plotly.com/javascript/plotlyjs-function-reference/#plotlyprependtraces.
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- relayoutData (dict; optional):
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Data from latest relayout event which occurs when the user zooms
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or pans on the plot or other layout-level edits. Has the form
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`{<attr string>: <value>}` describing the changes made. Read-only.
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- responsive (a value equal to: true, false, 'auto'; default 'auto'):
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If True, the Plotly.js plot will be fully responsive to window
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resize and parent element resize event. This is achieved by
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overriding `config.responsive` to True, `figure.layout.autosize`
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to True and unsetting `figure.layout.height` and
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`figure.layout.width`. If False, the Plotly.js plot not be
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responsive to window resize and parent element resize event. This
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is achieved by overriding `config.responsive` to False and
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`figure.layout.autosize` to False. If 'auto' (default), the Graph
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will determine if the Plotly.js plot can be made fully responsive
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(True) or not (False) based on the values in `config.responsive`,
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`figure.layout.autosize`, `figure.layout.height`,
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`figure.layout.width`. This is the legacy behavior of the Graph
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component. Needs to be combined with appropriate dimension /
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styling through the `style` prop to fully take effect.
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- restyleData (list; optional):
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Data from latest restyle event which occurs when the user toggles
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a legend item, changes parcoords selections, or other trace-level
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edits. Has the form `[edits, indices]`, where `edits` is an object
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`{<attr string>: <value>}` describing the changes made, and
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`indices` is an array of trace indices that were edited.
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Read-only.
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- selectedData (dict; optional):
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Data from latest select event. Read-only.
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- style (dict; optional):
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Generic style overrides on the plot div."""
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_children_props = []
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_base_nodes = ["children"]
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_namespace = "dash_core_components"
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_type = "Graph"
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@_explicitize_args
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def __init__(
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self,
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id=Component.UNDEFINED,
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responsive=Component.UNDEFINED,
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clickData=Component.UNDEFINED,
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clickAnnotationData=Component.UNDEFINED,
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hoverData=Component.UNDEFINED,
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clear_on_unhover=Component.UNDEFINED,
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selectedData=Component.UNDEFINED,
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relayoutData=Component.UNDEFINED,
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extendData=Component.UNDEFINED,
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prependData=Component.UNDEFINED,
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restyleData=Component.UNDEFINED,
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figure=Component.UNDEFINED,
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style=Component.UNDEFINED,
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className=Component.UNDEFINED,
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mathjax=Component.UNDEFINED,
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animate=Component.UNDEFINED,
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animation_options=Component.UNDEFINED,
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config=Component.UNDEFINED,
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loading_state=Component.UNDEFINED,
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**kwargs
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):
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self._prop_names = [
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"id",
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"animate",
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"animation_options",
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"className",
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"clear_on_unhover",
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"clickAnnotationData",
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"clickData",
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"config",
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"extendData",
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"figure",
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"hoverData",
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"loading_state",
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"mathjax",
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"prependData",
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"relayoutData",
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"responsive",
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"restyleData",
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"selectedData",
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"style",
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]
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self._valid_wildcard_attributes = []
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self.available_properties = [
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"id",
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"animate",
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"animation_options",
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"className",
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"clear_on_unhover",
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"clickAnnotationData",
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"clickData",
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"config",
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"extendData",
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"figure",
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"hoverData",
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"loading_state",
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"mathjax",
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"prependData",
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"relayoutData",
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"responsive",
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"restyleData",
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"selectedData",
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"style",
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]
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self.available_wildcard_properties = []
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_explicit_args = kwargs.pop("_explicit_args")
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_locals = locals()
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_locals.update(kwargs) # For wildcard attrs and excess named props
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args = {k: _locals[k] for k in _explicit_args}
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super(Graph, self).__init__(**args)
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