Range: The dashboard scales between minimum and maximum sizes that you specify.
For other performance tips, see Optimize Workbook Performance. Published dashboards that use a fixed size can load faster because they're more likely to use a cached version on the server. You can pick from a preset size or specify a custom size.įixed size dashboards let you specify the exact location and position of the content on the dashboard, which can be useful if there are floating objects. If the dashboard is larger than the window, itīecomes scrollable. The same size, regardless of the size of the window used to display it. Control overall dashboard size Dashboard size optionsįixed size (default): The dashboard remains Various lines and area fills can be shown or hidden, and their color and line-widths specified.After you create a dashboard, you might need to resize and reorganize it to work better for your users. administrative border) data from the Natural Earth Dataset.
Plotly Geo maps have a built-in base map layer composed of "physical" and "cultural" (i.e. That said, every configuration option here is equally applicable to non-empty maps created with the Plotly Express px.scatter_geo, px.line_geo or px.choropleth functions. Note: Plotly Express cannot create empty figures, so the examples below mostly create an "empty" map using fig = go.Figure(go.Scattergeo()). This page documents Geo outline-based maps, and the Mapbox Layers documentation describes how to configure Mapbox tile-based maps. If your figure is created with a px.scatter_geo, px.line_geo or px.choropleth function or otherwise contains one or more traces of type go.Scattergeo or go.Choropleth, the layout.geo object in your figure contains configuration information for the map itself. If your figure is created with a px.scatter_mapbox, px.line_mapbox, px.choropleth_mapbox or px.density_mapbox function or otherwise contains one or more traces of type go.Scattermapbox, go.Choroplethmapbox or go.Densitymapbox, the layout.mapbox object in your figure contains configuration information for the map itself. Plotly supports two different kinds of maps:
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