from collections import defaultdict
import numpy as np
import param
from ...core import util
from ...element import Contours, Polygons
from ...util.transform import dim
from .callbacks import PolyDrawCallback, PolyEditCallback
from .element import ColorbarPlot, LegendPlot, OverlayPlot
from .selection import BokehOverlaySelectionDisplay
from .styles import (
base_properties,
expand_batched_style,
fill_properties,
line_properties,
mpl_to_bokeh,
validate,
)
from .util import multi_polygons_data
[docs]class PathPlot(LegendPlot, ColorbarPlot):
selected = param.List(default=None, doc="""
The current selection as a list of integers corresponding
to the selected items.""")
show_legend = param.Boolean(default=False, doc="""
Whether to show legend for the plot.""")
# Deprecated options
color_index = param.ClassSelector(default=None, class_=(str, int),
allow_None=True, doc="""
Deprecated in favor of color style mapping, e.g. `color=dim('color')`""")
style_opts = base_properties + line_properties + ['cmap']
_plot_methods = dict(single='multi_line', batched='multi_line')
_mapping = dict(xs='xs', ys='ys')
_nonvectorized_styles = base_properties + ['cmap']
_batched_style_opts = line_properties
def _element_transform(self, transform, element, ranges):
if isinstance(element, Contours):
data = super()._element_transform(transform, element, ranges)
new_data = []
for d in data:
if isinstance(d, np.ndarray) and len(d) == 1:
new_data.append(d[0])
else:
new_data.append(d)
return np.array(new_data)
return np.concatenate([transform.apply(el, ranges=ranges, flat=True)
for el in element.split()])
def _hover_opts(self, element):
cdim = element.get_dimension(self.color_index)
if self.batched:
dims = list(self.hmap.last.kdims)+self.hmap.last.last.vdims
else:
dims = list(self.overlay_dims.keys())+self.hmap.last.vdims
if cdim not in dims and cdim is not None:
dims.append(cdim)
return dims, {}
def _get_hover_data(self, data, element):
"""
Initializes hover data based on Element dimension values.
"""
if 'hover' not in self.handles or self.static_source:
return
for k, v in self.overlay_dims.items():
dim = util.dimension_sanitizer(k.name)
if dim not in data:
data[dim] = [v] * len(next(iter(data.values())))
[docs] def get_data(self, element, ranges, style):
color = style.get('color', None)
cdim = None
if isinstance(color, str) and not validate('color', color):
cdim = element.get_dimension(color)
elif self.color_index is not None:
cdim = element.get_dimension(self.color_index)
scalar = element.interface.isunique(element, cdim, per_geom=True) if cdim else False
style_mapping = {
(s, v) for s, v in style.items() if (s not in self._nonvectorized_styles) and
((isinstance(v, str) and v in element) or isinstance(v, dim)) and
not (not isinstance(v, dim) and v == color and s == 'color')}
mapping = dict(self._mapping)
if (not cdim or scalar) and not style_mapping and 'hover' not in self.handles:
if self.static_source:
data = {}
else:
paths = element.split(datatype='columns', dimensions=element.kdims)
xs, ys = ([path[kd.name] for path in paths] for kd in element.kdims)
if self.invert_axes:
xs, ys = ys, xs
data = dict(xs=xs, ys=ys)
return data, mapping, style
hover = 'hover' in self.handles
vals = defaultdict(list)
if hover:
vals.update({util.dimension_sanitizer(vd.name): [] for vd in element.vdims})
if cdim and self.color_index is not None:
dim_name = util.dimension_sanitizer(cdim.name)
cmapper = self._get_colormapper(cdim, element, ranges, style)
mapping['line_color'] = {'field': dim_name, 'transform': cmapper}
vals[dim_name] = []
xpaths, ypaths = [], []
for path in element.split():
if cdim and self.color_index is not None:
scalar = path.interface.isunique(path, cdim, per_geom=True)
cvals = path.dimension_values(cdim, not scalar)
vals[dim_name].append(cvals[:-1])
cols = path.columns(path.kdims)
xs, ys = (cols[kd.name] for kd in element.kdims)
alen = len(xs)
xpaths += [xs[s1:s2+1] for (s1, s2) in zip(range(alen-1), range(1, alen+1))]
ypaths += [ys[s1:s2+1] for (s1, s2) in zip(range(alen-1), range(1, alen+1))]
if not hover:
continue
for vd in element.vdims:
if vd == cdim:
continue
values = path.dimension_values(vd)[:-1]
vd_name = util.dimension_sanitizer(vd.name)
vals[vd_name].append(values)
values = {d: np.concatenate(vs) if len(vs) else [] for d, vs in vals.items()}
if self.invert_axes:
xpaths, ypaths = ypaths, xpaths
data = dict(xs=xpaths, ys=ypaths, **values)
self._get_hover_data(data, element)
return data, mapping, style
def get_batched_data(self, element, ranges=None):
data = defaultdict(list)
zorders = self._updated_zorders(element)
for (key, el), zorder in zip(element.data.items(), zorders):
el_opts = self.lookup_options(el, 'plot').options
self.param.update(**{k: v for k, v in el_opts.items()
if k not in OverlayPlot._propagate_options})
style = self.lookup_options(el, 'style')
style = style.max_cycles(len(self.ordering))[zorder]
self.overlay_dims = dict(zip(element.kdims, key))
eldata, elmapping, style = self.get_data(el, ranges, style)
for k, eld in eldata.items():
data[k].extend(eld)
# Skip if data is empty
if not eldata:
continue
# Apply static styles
nvals = len(next(iter(eldata.values())))
sdata, smapping = expand_batched_style(style, self._batched_style_opts,
elmapping, nvals)
elmapping.update({k: v for k, v in smapping.items() if k not in elmapping})
for k, v in sdata.items():
data[k].extend(list(v))
return data, elmapping, style
[docs]class ContourPlot(PathPlot):
selected = param.List(default=None, doc="""
The current selection as a list of integers corresponding
to the selected items.""")
show_legend = param.Boolean(default=False, doc="""
Whether to show legend for the plot.""")
# Deprecated options
color_index = param.ClassSelector(default=0, class_=(str, int),
allow_None=True, doc="""
Deprecated in favor of color style mapping, e.g. `color=dim('color')`""")
_color_style = 'line_color'
_nonvectorized_styles = base_properties + ['cmap']
def __init__(self, *args, **params):
super().__init__(*args, **params)
self._has_holes = None
def _hover_opts(self, element):
if self.batched:
dims = list(self.hmap.last.kdims)+self.hmap.last.last.vdims
else:
dims = list(self.overlay_dims.keys())+self.hmap.last.vdims
return dims, {}
def _get_hover_data(self, data, element):
"""
Initializes hover data based on Element dimension values.
If empty initializes with no data.
"""
if 'hover' not in self.handles or self.static_source:
return
interface = element.interface
scalar_kwargs = {'per_geom': True} if interface.multi else {}
for d in element.vdims:
dim = util.dimension_sanitizer(d.name)
if dim not in data:
if interface.isunique(element, d, **scalar_kwargs):
data[dim] = element.dimension_values(d, expanded=False)
else:
data[dim] = element.split(datatype='array', dimensions=[d])
for k, v in self.overlay_dims.items():
dim = util.dimension_sanitizer(k.name)
if dim not in data:
data[dim] = [v] * len(next(iter(data.values())))
[docs] def get_data(self, element, ranges, style):
if self._has_holes is None:
draw_callbacks = any(isinstance(cb, (PolyDrawCallback, PolyEditCallback))
for cb in self.callbacks)
has_holes = (isinstance(element, Polygons) and not draw_callbacks)
self._has_holes = has_holes
else:
has_holes = self._has_holes
if not element.interface.multi:
element = element.clone([element.data], datatype=type(element).datatype)
if self.static_source:
data = {}
xs = self.handles['cds'].data['xs']
else:
if has_holes:
xs, ys = multi_polygons_data(element)
else:
xs, ys = (list(element.dimension_values(kd, expanded=False))
for kd in element.kdims)
if self.invert_axes:
xs, ys = ys, xs
data = dict(xs=xs, ys=ys)
mapping = dict(self._mapping)
self._get_hover_data(data, element)
color, fill_color = style.get('color'), style.get('fill_color')
if (((isinstance(color, dim) and color.applies(element)) or color in element) or
(isinstance(fill_color, dim) and fill_color.applies(element)) or fill_color in element):
cdim = None
else:
cidx = self.color_index+2 if isinstance(self.color_index, int) else self.color_index
cdim = element.get_dimension(cidx)
if cdim is None:
return data, mapping, style
dim_name = util.dimension_sanitizer(cdim.name)
values = element.dimension_values(cdim, expanded=False)
data[dim_name] = values
factors = None
if cdim.name in ranges and 'factors' in ranges[cdim.name]:
factors = ranges[cdim.name]['factors']
elif values.dtype.kind in 'SUO' and len(values):
if isinstance(values[0], np.ndarray):
values = np.concatenate(values)
factors = util.unique_array(values)
cmapper = self._get_colormapper(cdim, element, ranges, style, factors)
mapping[self._color_style] = {'field': dim_name, 'transform': cmapper}
if self.show_legend:
mapping['legend_field'] = dim_name
return data, mapping, style
def _init_glyph(self, plot, mapping, properties):
"""
Returns a Bokeh glyph object.
"""
plot_method = properties.pop('plot_method', None)
properties = mpl_to_bokeh(properties)
data = dict(properties, **mapping)
if self._has_holes:
plot_method = 'multi_polygons'
elif plot_method is None:
plot_method = self._plot_methods.get('single')
renderer = getattr(plot, plot_method)(**data)
if self.colorbar:
for k, v in list(self.handles.items()):
if not k.endswith('color_mapper'):
continue
self._draw_colorbar(plot, v, k[:-12])
return renderer, renderer.glyph
[docs]class PolygonPlot(ContourPlot):
style_opts = base_properties + line_properties + fill_properties + ['cmap']
_plot_methods = dict(single='patches', batched='patches')
_batched_style_opts = line_properties + fill_properties
_color_style = 'fill_color'
selection_display = BokehOverlaySelectionDisplay()