Maps.set_shape

class eomaps.eomaps.Maps.set_shape(m)

Set the plot-shape to represent the data-points.

By default, “ellipses” is used for datasets smaller than 500k pixels and shading with “shade_raster” is used for larger datasets (if datashader is installed).

Possible shapes are: (check the individual docs for details!)

• Projected ellipses

>>> m.set_shape.ellipses(radius, radius_crs)

• Projected rectangles

>>> m.set_shape.rectangles(radius, radius_crs, mesh)

• Projected geodetic circles

>>> m.set_shape.geod_circles(radius)

• Voronoi diagram

>>> m.set_shape.voronoi_diagram(masked, mask_radius)

• Delaunay triangulation

>>> m.set_shape.delaunay_triangulation(masked, mask_radius, mask_radius_crs, flat)

• Point-based shading

>>> m.set_shape.shade_points(aggregator, shade_hook, agg_hook)

• Raster-based shading

>>> m.set_shape.delaunay_triangulation(aggregator, shade_hook, agg_hook)

_radius_estimation_range

The number of datapoints to use for estimating the radius of a shape. (only relevant if the radius is not specified explicitly.) The default is 100000

Type:

int

Members

contour	Draw a contour-plot of the data.
delaunay_triangulation	Draw a Delaunay-Triangulation of the data.
ellipses	Draw projected ellipses with dimensions defined in units of a given crs.
geod_circles	Draw geodesic circles with a radius defined in meters.
hexbin	Draw a 2D hexagonal binning plot of the data.
raster	Draw the data as a rectangular raster (>> usable for very large datasets!)
rectangles	Draw projected rectangles with fixed dimensions (and possibly curved edges).
scatter_points	Draw each datapoint as a shape with a size defined in points**2.
shade_points	Shade the data as infinitesimal points (>> usable for very large datasets!).
shade_raster	Shade the data as a rectangular raster (>> usable for very large datasets!).
spherical_voronoi_diagram	Draw a Spherical Voronoi-Diagram of the data.
voronoi_diagram	Draw a Voronoi-Diagram of the data.