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Handled scalar values in dynamic Dataset.groupby

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Philipp Rudiger Philipp Rudiger
Philipp Rudiger authored and Philipp Rudiger committed Jun 4, 2016
1 parent c4fd856 commit 266480d78c91bcaba7f242f14d535436d3b1c350
Showing with 5 additions and 1 deletion.
  1. +5 −1 holoviews/core/data/
@@ -381,7 +381,11 @@ def groupby(self, dimensions=[], container_type=HoloMap, group_type=None,
group_dims = [ for d in self.kdims if d not in dimensions]
def load_subset(*args):
constraint = dict(zip(dim_names, args))
return group_type(**constraint).reindex(group_dims))
group =**constraint)
if np.isscalar(group):
return group_type(([group],),,
label=self.label, vdims=self.vdims)
return group_type(group).reindex(group_dims)
dynamic_dims = [d(values=list(self.interface.values(self,, False)))
for d in dimensions]
return DynamicMap(load_subset, kdims=dynamic_dims)

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