def kde(self, x, y, data=None):
data, x, y = self._process_args(data, x, y)
opts = dict(plot=self._plot_opts,
style=self._style_opts,
norm=self._norm_opts)
opts = {
'Distribution': opts,
'Area': opts,
'NdOverlay': {
'plot': dict(self._plot_opts, legend_limit=0)
}
}
if not isinstance(y, (list, tuple)):
ranges = {y: self._dim_ranges['x']}
if self.by:
dists = Dataset(data).to(Distribution, y, [], self.by)
dists = dists.layout() if self.subplots else dists.overlay()
else:
dists = Distribution(data, y, [])
else:
ranges = {self.value_label: self._dim_ranges['x']}
data = data[y]
df = pd.melt(data,
var_name=self.group_label,
value_name=self.value_label)
ds = Dataset(df)
if len(df):
dists = ds.to(Distribution, self.value_label).overlay()
else:
vdim = self.value_label + ' Density'
dists = NdOverlay({0: Area([], self.value_label, vdim)},
[self.group_label])
return dists.redim(**self._redim).redim.range(**ranges).relabel(
**self._relabel).opts(opts)
def single_chart(self, element, x, y, data=None):
labelled = ['y' if self.invert else 'x'] if x != 'index' else []
if not self.is_series:
labelled.append('x' if self.invert else 'y')
elif not self.label:
self._relabel['label'] = y
opts = {
element.__name__:
dict(plot=dict(self._plot_opts, labelled=labelled),
norm=self._norm_opts,
style=self._style_opts)
}
ranges = {y: self._dim_ranges['y']}
if x:
ranges[x] = self._dim_ranges['x']
data = self.data if data is None else data
ys = [y]
for p in 'cs':
if p in self.kwds and self.kwds[p] in data.columns:
ys += [self.kwds[p]]
if self.by:
chart = Dataset(data, self.by + [x],
ys).to(element, x, ys,
self.by).relabel(**self._relabel)
chart = chart.layout() if self.subplots else chart.overlay(
).options(batched=False)
else:
chart = element(data, x, ys).relabel(**self._relabel)
return chart.redim.range(**ranges).redim(**self._redim).opts(opts)
