How to use the geoviews.element.Path function in geoviews

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github holoviz / geoviews / geoviews / operation / projection.py View on Github external
Projection the shape type is projected to.""")

    # Defines the types of elements supported by the operation
    supported_types = []

    def _process(self, element, key=None):
        return element.map(self._process_element, self.supported_types)


class project_path(_project_operation):
    """
    Projects Polygons and Path Elements from their source coordinate
    reference system to the supplied projection.
    """

    supported_types = [Polygons, Path, Contours, EdgePaths]

    def _process_element(self, element):
        if not bool(element):
            return element.clone(crs=self.p.projection)

        crs = element.crs
        proj = self.p.projection
        if (isinstance(crs, ccrs.PlateCarree) and not isinstance(proj, ccrs.PlateCarree)
            and crs.proj4_params['lon_0'] != 0):
            element = self.instance(projection=ccrs.PlateCarree())(element)

        if isinstance(proj, ccrs.CRS) and not isinstance(proj, ccrs.Projection):
            raise ValueError('invalid transform:'
                             ' Spherical contouring is not supported - '
                             ' consider using PlateCarree/RotatedPole.')
github holoviz / geoviews / geoviews / operation / projection.py View on Github external
Projection the shape type is projected to.""")

    # Defines the types of elements supported by the operation
    supported_types = []

    def _process(self, element, key=None):
        return element.map(self._process_element, self.supported_types)


class project_path(_project_operation):
    """
    Projects Polygons and Path Elements from their source coordinate
    reference system to the supplied projection.
    """

    supported_types = [Polygons, Path, Contours, EdgePaths]

    def _process_element(self, element):
        if not len(element):
            return element.clone(crs=self.p.projection)

        crs = element.crs
        cylindrical = isinstance(crs, ccrs._CylindricalProjection)
        proj = self.p.projection
        if isinstance(proj, ccrs.CRS) and not isinstance(proj, ccrs.Projection):
            raise ValueError('invalid transform:'
                             ' Spherical contouring is not supported - '
                             ' consider using PlateCarree/RotatedPole.')

        boundary = Polygon(crs.boundary)
        bounds = [round(b, 10) for b in boundary.bounds]
        xoffset = round((boundary.bounds[2]-boundary.bounds[0])/2.)
github holoviz / geoviews / geoviews / operation / projection.py View on Github external
def _process_element(self, element):
        if not len(element):
            return element.clone(crs=self.p.projection)
        geom = element.geom()
        vertices = geom_to_array(geom)
        if isinstance(geom, (MultiPolygon, Polygon)):
            obj = Polygons([vertices])
        else:
            obj = Path([vertices])
        geom = project_path(obj, projection=self.p.projection).geom()
        return element.clone(geom, crs=self.p.projection)
github holoviz / geoviews / geoviews / operation / projection.py View on Github external
def _process_element(self, element):
        if not len(element):
            return element.clone(crs=self.p.projection)
        geom = element.geom()
        vertices = geom_to_array(geom)
        if isinstance(geom, (MultiPolygon, Polygon)):
            obj = Polygons([vertices])
        else:
            obj = Path([vertices])
        geom = project_path(obj, projection=self.p.projection).geom()
        return element.clone(geom, crs=self.p.projection)
github holoviz / geoviews / geoviews / plotting / bokeh / __init__.py View on Github external
return hex_binning._process(self, element)

compositor = Compositor(
    "HexTiles", geo_hex_binning, None, 'data', output_type=HexTiles,
    transfer_options=True, transfer_parameters=True, backends=['bokeh']
)
Compositor.register(compositor)


Store.register({WMTS: TilePlot,
                Points: GeoPointPlot,
                Labels: GeoLabelsPlot,
                VectorField: GeoVectorFieldPlot,
                Polygons: GeoPolygonPlot,
                Contours: GeoContourPlot,
                Path: GeoPathPlot,
                Shape: GeoShapePlot,
                Image: GeoRasterPlot,
                RGB: GeoRGBPlot,
                LineContours: LineContourPlot,
                FilledContours: FilledContourPlot,
                Feature: FeaturePlot,
                HexTiles: HexTilesPlot,
                Text: GeoTextPlot,
                Overlay: GeoOverlayPlot,
                NdOverlay: GeoOverlayPlot,
                Graph: GeoGraphPlot,
                TriMesh: GeoTriMeshPlot,
                Nodes: GeoPointPlot,
                EdgePaths: GeoPathPlot,
                QuadMesh: GeoQuadMeshPlot}, 'bokeh')
github holoviz / geoviews / geoviews / plotting / mpl / __init__.py View on Github external
# Register plots with HoloViews
Store.register({LineContours: LineContourPlot,
                FilledContours: FilledContourPlot,
                Image: GeoImagePlot,
                Feature: FeaturePlot,
                WMTS: WMTSPlot,
                Tiles: WMTSPlot,
                Points: GeoPointPlot,
                Labels: GeoLabelsPlot,
                VectorField: GeoVectorFieldPlot,
                Text: GeoTextPlot,
                Layout: LayoutPlot,
                NdLayout: LayoutPlot,
                Overlay: GeoOverlayPlot,
                Polygons: GeoPolygonPlot,
                Path: GeoPathPlot,
                Contours: GeoContourPlot,
                RGB: GeoRGBPlot,
                Shape: GeoShapePlot,
                Graph: GeoGraphPlot,
                TriMesh: GeoTriMeshPlot,
                Nodes: GeoPointPlot,
                EdgePaths: GeoPathPlot,
                HexTiles: GeoHexTilesPlot,
                QuadMesh: GeoQuadMeshPlot}, 'matplotlib')


# Define plot and style options
options = Store.options(backend='matplotlib')

options.Shape = Options('style', edgecolor='black', facecolor='#30A2DA')