PlotlyWidget.add_carpet

PlotlyWidget.add_carpet(a=None, a0=None, aaxis=None, asrc=None, b=None, b0=None, baxis=None, bsrc=None, carpet=None, cheaterslope=None, color=None, customdata=None, customdatasrc=None, da=None, db=None, font=None, ids=None, idssrc=None, meta=None, metasrc=None, name=None, opacity=None, stream=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xsrc=None, y=None, yaxis=None, ysrc=None, row=None, col=None, secondary_y=None, **kwargs)

Add a new Carpet trace

The data describing carpet axis layout is set in y and (optionally) also x. If only y is present, x the plot is interpreted as a cheater plot and is filled in using the y values. x and y may either be 2D arrays matching with each dimension matching that of a and b, or they may be 1D arrays with total length equal to that of a and b.

Parameters
  • a – An array containing values of the first parameter value

  • a0 – Alternate to a. Builds a linear space of a coordinates. Use with da where a0 is the starting coordinate and da the step.

  • aaxisplotly.graph_objects.carpet.Aaxis instance or dict with compatible properties

  • asrc – Sets the source reference on Chart Studio Cloud for a .

  • b – A two dimensional array of y coordinates at each carpet point.

  • b0 – Alternate to b. Builds a linear space of a coordinates. Use with db where b0 is the starting coordinate and db the step.

  • baxisplotly.graph_objects.carpet.Baxis instance or dict with compatible properties

  • bsrc – Sets the source reference on Chart Studio Cloud for b .

  • carpet – An identifier for this carpet, so that scattercarpet and contourcarpet traces can specify a carpet plot on which they lie

  • cheaterslope – The shift applied to each successive row of data in creating a cheater plot. Only used if x is been omitted.

  • color – Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this.

  • 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 .

  • da – Sets the a coordinate step. See a0 for more info.

  • db – Sets the b coordinate step. See b0 for more info.

  • font – The default font used for axis & tick labels on this carpet

  • 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 .

  • meta – 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.

  • streamplotly.graph_objects.carpet.Stream instance or dict with compatible properties

  • 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.

  • visible – 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).

  • x – A two dimensional array of x coordinates at each carpet point. If omitted, the plot is a cheater plot and the xaxis is hidden by default.

  • xaxis – Sets a reference between this trace’s x coordinates and a 2D cartesian x axis. If “x” (the default value), the x coordinates refer to layout.xaxis. If “x2”, the x coordinates refer to layout.xaxis2, and so on.

  • xsrc – Sets the source reference on Chart Studio Cloud for x .

  • y – A two dimensional array of y coordinates at each carpet point.

  • yaxis – Sets a reference between this trace’s y coordinates and a 2D cartesian y axis. If “y” (the default value), the y coordinates refer to layout.yaxis. If “y2”, the y coordinates refer to layout.yaxis2, and so on.

  • ysrc – Sets the source reference on Chart Studio Cloud for y .

  • 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).

  • secondary_y (boolean or None (default None)) –

    If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied:

    • The figure was created using plotly.subplots.make_subplots.

    • The row and col arguments are not None

    • The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info.

Returns

Return type

FigureWidget