Source code for holoviews.plotting.plotly.shapes

import numpy as np
import param

from ...element import HLine, HSpan, Tiles, VLine, VSpan
from ..mixins import GeomMixin
from .element import ElementPlot


[docs]class ShapePlot(ElementPlot): # The plotly shape type ("line", "rect", etc.) _shape_type = None style_opts = ['opacity', 'fillcolor', 'line_color', 'line_width', 'line_dash'] _supports_geo = True
[docs] def init_graph(self, datum, options, index=0, is_geo=False, **kwargs): if is_geo: trace = { 'type': 'scattermapbox', 'mode': 'lines', 'showlegend': False, 'hoverinfo': 'skip', } trace.update(datum, **options) # Turn on self fill if a fillcolor is specified if options.get("fillcolor", None): trace["fill"] = "toself" return dict(traces=[trace]) else: shape = dict(type=self._shape_type, **dict(datum, **options)) return dict(shapes=[shape])
@staticmethod def build_path(xs, ys, closed=True): line_tos = ''.join([f'L{x} {y}' for x, y in zip(xs[1:], ys[1:])]) path = f'M{xs[0]} {ys[0]}{line_tos}' if closed: path += 'Z' return path
[docs]class BoxShapePlot(GeomMixin, ShapePlot): _shape_type = 'rect' def get_data(self, element, ranges, style, is_geo=False, **kwargs): inds = (1, 0, 3, 2) if self.invert_axes else (0, 1, 2, 3) x0s, y0s, x1s, y1s = (element.dimension_values(kd) for kd in inds) if is_geo: if len(x0s) == 0: lat = [] lon = [] else: lon0s, lat0s = Tiles.easting_northing_to_lon_lat(easting=x0s, northing=y0s) lon1s, lat1s = Tiles.easting_northing_to_lon_lat(easting=x1s, northing=y1s) lon_chunks, lat_chunks = zip(*[ ([lon0, lon0, lon1, lon1, lon0, np.nan], [lat0, lat1, lat1, lat0, lat0, np.nan]) for (lon0, lat0, lon1, lat1) in zip(lon0s, lat0s, lon1s, lat1s) ]) lon = np.concatenate(lon_chunks) lat = np.concatenate(lat_chunks) return [{"lat": lat, "lon": lon}] else: return [dict(x0=x0, x1=x1, y0=y0, y1=y1, xref='x', yref='y') for (x0, y0, x1, y1) in zip(x0s, y0s, x1s, y1s)]
[docs]class SegmentShapePlot(GeomMixin, ShapePlot): _shape_type = 'line' def get_data(self, element, ranges, style, is_geo=False, **kwargs): inds = (1, 0, 3, 2) if self.invert_axes else (0, 1, 2, 3) x0s, y0s, x1s, y1s = (element.dimension_values(kd) for kd in inds) if is_geo: if len(x0s) == 0: lat = [] lon = [] else: lon0s, lat0s = Tiles.easting_northing_to_lon_lat(easting=x0s, northing=y0s) lon1s, lat1s = Tiles.easting_northing_to_lon_lat(easting=x1s, northing=y1s) lon_chunks, lat_chunks = zip(*[ ([lon0, lon1, np.nan], [lat0, lat1, np.nan]) for (lon0, lat0, lon1, lat1) in zip(lon0s, lat0s, lon1s, lat1s) ]) lon = np.concatenate(lon_chunks) lat = np.concatenate(lat_chunks) return [{"lat": lat, "lon": lon}] else: return [dict(x0=x0, x1=x1, y0=y0, y1=y1, xref='x', yref='y') for (x0, y0, x1, y1) in zip(x0s, y0s, x1s, y1s)]
[docs]class PathShapePlot(ShapePlot): _shape_type = 'path' def get_data(self, element, ranges, style, is_geo=False, **kwargs): if self.invert_axes: ys = element.dimension_values(0) xs = element.dimension_values(1) else: xs = element.dimension_values(0) ys = element.dimension_values(1) if is_geo: lon, lat = Tiles.easting_northing_to_lon_lat(easting=xs, northing=ys) return [{"lat": lat, "lon": lon}] else: path = ShapePlot.build_path(xs, ys) return [dict(path=path, xref='x', yref='y')]
[docs]class PathsPlot(ShapePlot): _shape_type = 'path' def get_data(self, element, ranges, style, is_geo=False, **kwargs): if is_geo: lon_chunks = [] lat_chunks = [] for el in element.split(): xdim, ydim = (1, 0) if self.invert_axes else (0, 1) xs = el.dimension_values(xdim) ys = el.dimension_values(ydim) el_lon, el_lat = Tiles.easting_northing_to_lon_lat(xs, ys) lon_chunks.extend([el_lon, [np.nan]]) lat_chunks.extend([el_lat, [np.nan]]) if lon_chunks: lon = np.concatenate(lon_chunks) lat = np.concatenate(lat_chunks) else: lon = [] lat = [] return [{"lat": lat, "lon": lon}] else: paths = [] for el in element.split(): xdim, ydim = (1, 0) if self.invert_axes else (0, 1) xs = el.dimension_values(xdim) ys = el.dimension_values(ydim) path = ShapePlot.build_path(xs, ys) paths.append(dict(path=path, xref='x', yref='y')) return paths
[docs]class HVLinePlot(ShapePlot): apply_ranges = param.Boolean(default=False, doc=""" Whether to include the annotation in axis range calculations.""") _shape_type = 'line' _supports_geo = False def get_data(self, element, ranges, style, **kwargs): if ((isinstance(element, HLine) and self.invert_axes) or (isinstance(element, VLine) and not self.invert_axes)): x = element.data visible = x is not None return [dict( x0=x, x1=x, y0=0, y1=1, xref='x', yref="paper", visible=visible )] else: y = element.data visible = y is not None return [dict( x0=0.0, x1=1.0, y0=y, y1=y, xref="paper", yref='y', visible=visible )]
[docs]class HVSpanPlot(ShapePlot): apply_ranges = param.Boolean(default=False, doc=""" Whether to include the annotation in axis range calculations.""") _shape_type = 'rect' _supports_geo = False def get_data(self, element, ranges, style, **kwargs): if ((isinstance(element, HSpan) and self.invert_axes) or (isinstance(element, VSpan) and not self.invert_axes)): x0, x1 = element.data visible = not (x0 is None and x1 is None) return [dict( x0=x0, x1=x1, y0=0, y1=1, xref='x', yref="paper", visible=visible )] else: y0, y1 = element.data visible = not (y0 is None and y1 is None) return [dict( x0=0.0, x1=1.0, y0=y0, y1=y1, xref="paper", yref='y', visible=visible )]