![]() Scaling factor to apply to point scaling. All the subgroups are visualized.Ī single field or list of fields to group and filter by. S : int, optional, also available as 'size'Ī single field or list of fields to group by. s, d, o etc.Ī color or a Field name to draw the color of the marker from The marker shape specified above can be any supported by matplotlib, e.g. Can refer to continuous and categorical data.įield name(s) to draw y-positions from. The `scatter` plot is a good first way to plot data with non continuous axes.įield name(s) to draw x-positions from. ![]() The `scatter` plot visualizes your points as markers in 2D space. In general these are provided in the docstring of the plot type, which can be viewed using help method: Tiles sourcesĬan be selected by name or a tiles object or class can be passed,Įach type of plot may have a number of options to visual attributes specific to that plot type. Whether to overlay the plot on a tile source. Overhead but avoids projecting data when plot is dynamically ![]() Whether to project the data before plotting (adds initial Whether to expand the plot extent to span the whole globe. Whether the plot should be treated as geographic (and assume Whether to display a coastline on top of the plot, settingĬoastline='10m'/'50m'/'110m' specifies a specific scale.Ĭoordinate reference system of the data specified as CartopyĪ list of features or a dictionary of features and the scaleĪt which to render it. See the geographic section for more information on working with geographic data: When dealing with geographic data, there are a number of options that become available. Specifies the smallest allowed sampling interval along the x/y axis. Whether to apply rasterization using the datashader library Whether to apply rasterization and shading using datashaderĪllows plots generated with datashade=True to increase the point (warning: for large groupby operations embedded data can become Zoom/pan events or whether all the data should be embedded Whether to return a dynamic plot which sends updates on widget and (valid options include 'mean', 'count', 'min', 'max' and more, and In addition to regular plot options hvplot also exposes options for dealing with large data:Īggregator to use when applying rasterize or datashade operation Size above which to stop checking for symmetry by default on the data. Will be checked for symmetry as long as the size is less than Whether the data are symmetric around zero. Whether to sort the x-axis by date before plotting To see warning if the attrs can't be found, set to False to disable None to allow best effort without throwing a warning. Whether to use an xarray object's attributes as labels, defaults to The width and height of the plot in pixels Width (default=700)/height (default=300): int Ticks positions, or list of tuples of the tick positions and labels Ticks along x- and y-axis specified as an integer, list of Xticks/yticks (default=None): int or list Xformatter/yformatter (default=None): str or TickFormatterįormatter for the x-axis and y-axis (accepts printf formatter,Īxis labels for the x-axis, y-axis, and colorbar 'top'/'bottom' and 'left'/'right' respectively. Whether to show the x/y-axis and whether to place it at the Rotates the axis ticks along the x-axis by the specifiedĪ dictionary of HoloViews dim transforms to apply before plotting To a fixed size, ignoring any responsive option. Width and height or width and aspect are set the plot is set Least one dimension of the plot is left undefined, e.g. Whether the plot should responsively resize depending on the Tuples of tuples to specify different amounts of padding for Specify different amount of padding for x- and y-axis and The minimum width and height of the plot for responsive modesįraction by which to increase auto-ranged extents to makeĭatapoints more visible around borders. The maximum width and height of the plot for responsive modes Whether to show a legend, or a legend positionĮnables logarithmic x- and y-axis respectively The width and height of the data area of the plot Includes all columns (including indexes if use_index is True). True in which case hover is False by defaultĪdditional columns to add to the hover tool or 'all' which will Whether to show hover tooltips, default is True unless datashade is Whether to flip the axis left to right or up and down respectively Set title, label and legend text to the same fontsize. fontscale=1.5Įnlarges all fonts (title, xticks, labels etc.) by 50% Scales the size of all fonts by the same amount, e.g. Color scaling which must be one of 'linear', 'log' or 'eq_hist'
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