![]() ![]() See `x0` for more info.Ĭode: fig.update_traces(xtype=, selector=dict(type='contour')) Use with `dx` where `x0` is the starting coordinate and `dx` the step.Ĭode: fig.update_traces(dx=, selector=dict(type='contour')) Type: number or categorical coordinate stringĪlternate to `x`. Should be an array of strings, not numbers or any other type.Ĭode: fig.update_traces(x=, selector=dict(type='contour'))Ĭode: fig.update_traces(x0=, selector=dict(type='contour')) These ids for object constancy of data points during animation. Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Īssigns id labels to each datum. Sets the width (in px or fraction) of the legend for this trace.Ĭode: fig.update_traces(opacity=, selector=dict(type='contour'))Ĭode: fig.update_traces(ids=, selector=dict(type='contour')) ![]() These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".Ĭode: fig.update_traces(legendgrouptitle_font_size=, selector=dict(type='contour'))Ĭode: fig.update_traces(legendgrouptitle_text=, selector=dict(type='contour'))Ĭode: fig.update_traces(legendwidth=, selector=dict(type='contour')) The Chart Studio Cloud (at or on-premise) generates images on a server, where only a select number of fonts are installed and supported. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The web browser will only be able to apply a font if it is available on the system which it operates. HTML font family - the typeface that will be applied by the web browser. Type: dict containing one or more of the keys listed below.Ĭode: fig.update_traces(legendgrouptitle_font=dict(.), selector=dict(type='contour'))Ĭode: fig.update_traces(legendgrouptitle_font_color=, selector=dict(type='contour'))Ĭode: fig.update_traces(legendgrouptitle_font_family=, selector=dict(type='contour')) Traces part of the same legend group hide/show at the same time when toggling legend items.Ĭode: fig.update_traces(legendgrouptitle=dict(.), selector=dict(type='contour')) The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items.Ĭode: fig.update_traces(legendgroup=, selector=dict(type='contour')) Items and groups with smaller ranks are presented on top/left side while with `"reversed" `aceorder` they are on bottom/right side. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc.Ĭode: fig.update_traces(legendrank=, selector=dict(type='contour')) References to these legends are "legend", "legend2", "legend3", etc. Sets the reference to a legend to show this trace in. ![]() If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).Ĭode: fig.update_traces(showlegend=, selector=dict(type='contour'))ĭetermines whether or not an item corresponding to this trace is shown in the legend.Ĭode: fig.update_traces(legend=, selector=dict(type='contour')) Type: enumerated, one of ( True | False | "legendonly" )ĭetermines whether or not this trace is visible. The trace name appear as the legend item and on hover.Ĭode: fig.update_traces(visible=, selector=dict(type='contour')) By setting `transpose` to "True", the above behavior is flipped.Ĭode: fig.update_traces(name=, selector=dict(type='contour')) Say that `z` has N rows and M columns, then by default, these N rows correspond to N y coordinates (set in `y` or auto-generated) and the M columns correspond to M x coordinates (set in `x` or auto-generated). Data in `z` must be a 2D list of numbers. The data from which contour lines are computed is set in `z`. A aph_objects.Contour trace is a graph object in the figure's data list with any of the named arguments or attributes listed below. ![]()
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