PlotlyWidget.add_splom¶
-
PlotlyWidget.
add_splom
(customdata=None, customdatasrc=None, diagonal=None, dimensions=None, dimensiondefaults=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legendgroup=None, marker=None, meta=None, metasrc=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, showlowerhalf=None, showupperhalf=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, xaxes=None, yaxes=None, row=None, col=None, **kwargs)¶ Add a new Splom trace
Splom traces generate scatter plot matrix visualizations. Each splom dimensions items correspond to a generated axis. Values for each of those dimensions are set in dimensions[i].values. Splom traces support all scattergl marker style attributes. Specify layout.grid attributes and/or layout x-axis and y-axis attributes for more control over the axis positioning and style.
- Parameters
customdata – Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, “scatter” traces also appends customdata items in the markers DOM elements
customdatasrc – Sets the source reference on Chart Studio Cloud for customdata .
diagonal –
plotly.graph_objects.splom.Diagonal
instance or dict with compatible propertiesdimensions – A tuple of
plotly.graph_objects.splom.Dimension
instances or dicts with compatible propertiesdimensiondefaults – When used in a template (as layout.template.data.splom.dimensiondefaults), sets the default property values to use for elements of splom.dimensions
hoverinfo – Determines which trace information appear on hover. If none or skip are set, no information is displayed upon hovering. But, if none is set, click and hover events are still fired.
hoverinfosrc – Sets the source reference on Chart Studio Cloud for hoverinfo .
hoverlabel –
plotly.graph_objects.splom.Hoverlabel
instance or dict with compatible propertieshovertemplate – 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}”. Numbers are formatted using d3-format’s syntax %{variable:d3-format}, for example “Price: %{y:$.2f}”. https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#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#locale_format for details on the date formatting syntax. 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, every attributes that can be specified per-point (the ones that are arrayOk: true) are available. 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>.
hovertemplatesrc – Sets the source reference on Chart Studio Cloud for hovertemplate .
hovertext – Same as text.
hovertextsrc – Sets the source reference on Chart Studio Cloud for hovertext .
ids – Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
idssrc – Sets the source reference on Chart Studio Cloud for ids .
legendgroup – Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
marker –
plotly.graph_objects.splom.Marker
instance or dict with compatible propertiesmeta – Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace name, graph, axis and colorbar title.text, annotation text rangeselector, updatemenues and sliders label text all support meta. To access the trace meta values in an attribute in the same trace, simply use %{meta[i]} where i is the index or key of the meta item in question. To access trace meta in layout attributes, use %{data[n[.meta[i]} where i is the index or key of the meta and n is the trace index.
metasrc – Sets the source reference on Chart Studio Cloud for meta .
name – Sets the trace name. The trace name appear as the legend item and on hover.
opacity – Sets the opacity of the trace.
selected –
plotly.graph_objects.splom.Selected
instance or dict with compatible propertiesselectedpoints – Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the unselected are turned on for all points, whereas, any other non-array values means no selection all where the selected and unselected styles have no effect.
showlegend – Determines whether or not an item corresponding to this trace is shown in the legend.
showlowerhalf – Determines whether or not subplots on the lower half from the diagonal are displayed.
showupperhalf – Determines whether or not subplots on the upper half from the diagonal are displayed.
stream –
plotly.graph_objects.splom.Stream
instance or dict with compatible propertiestext – Sets text elements associated with each (x,y) pair to appear on hover. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace’s (x,y) coordinates.
textsrc – Sets the source reference on Chart Studio Cloud for text .
uid – Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions.
uirevision – Controls persistence of some user-driven changes to the trace: constraintrange in parcoords traces, as well as some editable: true modifications such as name and colorbar.title. Defaults to layout.uirevision. Note that other user-driven trace attribute changes are controlled by layout attributes: trace.visible is controlled by layout.legend.uirevision, selectedpoints is controlled by layout.selectionrevision, and colorbar.(x|y) (accessible with config: {editable: true}) is controlled by layout.editrevision. Trace changes are tracked by uid, which only falls back on trace index if no uid is provided. So if your app can add/remove traces before the end of the data array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a uid that stays with it as it moves.
unselected –
plotly.graph_objects.splom.Unselected
instance or dict with compatible propertiesvisible – Determines whether or not this trace is visible. If “legendonly”, the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
xaxes – Sets the list of x axes corresponding to dimensions of this splom trace. By default, a splom will match the first N xaxes where N is the number of input dimensions. Note that, in case where diagonal.visible is false and showupperhalf or showlowerhalf is false, this splom trace will generate one less x-axis and one less y-axis.
yaxes – Sets the list of y axes corresponding to dimensions of this splom trace. By default, a splom will match the first N yaxes where N is the number of input dimensions. Note that, in case where diagonal.visible is false and showupperhalf or showlowerhalf is false, this splom trace will generate one less x-axis and one less y-axis.
row ('all', int or None (default)) – Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all rows in the specified column(s).
col ('all', int or None (default)) – Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all columns in the specified row(s).
- Returns
- Return type
FigureWidget