PlotlyWidget.add_table

PlotlyWidget.add_table(cells=None, columnorder=None, columnordersrc=None, columnwidth=None, columnwidthsrc=None, customdata=None, customdatasrc=None, domain=None, header=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, ids=None, idssrc=None, meta=None, metasrc=None, name=None, stream=None, uid=None, uirevision=None, visible=None, row=None, col=None, **kwargs)

Add a new Table trace

Table view for detailed data viewing. The data are arranged in a grid of rows and columns. Most styling can be specified for columns, rows or individual cells. Table is using a column- major order, ie. the grid is represented as a vector of column vectors.

Parameters

  • cells – plotly.graph_objects.table.Cells instance or dict with compatible properties

  • columnorder – Specifies the rendered order of the data columns; for example, a value 2 at position 0 means that column index 0 in the data will be rendered as the third column, as columns have an index base of zero.

  • columnordersrc – Sets the source reference on Chart Studio Cloud for columnorder .

  • columnwidth – The width of columns expressed as a ratio. Columns fill the available width in proportion of their specified column widths.

  • columnwidthsrc – Sets the source reference on Chart Studio Cloud for columnwidth .

  • 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 .

  • domain – plotly.graph_objects.table.Domain instance or dict with compatible properties

  • header – plotly.graph_objects.table.Header instance or dict with compatible properties

  • 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.table.Hoverlabel instance or dict with compatible properties

  • 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.

  • stream – plotly.graph_objects.table.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).

  • 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

PlotlyWidget.add_surface PlotlyWidget.add_trace