Added method: as_selections() to CategoryDataset
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@ -211,14 +211,28 @@ class CategoryDataset(Dataset):
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self._type = 'c'
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def as_dict_lists(self):
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"""Returns data as dict of indices along first dim"""
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"""Returns data as dict of indices along first dim.
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ex: data['gene_id'] = ['map0030','map0010', ...]
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"""
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data={}
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for name,ind in self._map[self.get_dim_name(0)].items():
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data[name] = list(nonzero(self._array[ind,:]))
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data[name] = self.get_identifiers(self.get_dim_name(1),list(nonzero(self._array[ind,:])))
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self._dictlists = data
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self.has_dictlists=True
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self.has_dictlists = True
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return data
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def as_selections(self):
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"""Returns data as a list of Selection objects.
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"""
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ret_list = []
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for cat_name,ind in self._map[self.get_dim_name(1)].items():
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ids = self.get_identifiers(self.get_dim_name(0),nonzero(self._array[:,ind]))
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selection = Selection(cat_name)
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selection.select(cat_name,ids)
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ret_list.append(selection)
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return ret_list
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class GraphDataset(Dataset):
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"""The graph dataset class.
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@ -278,8 +292,8 @@ class ReverseDict(dict):
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All values and keys must be hashable, and unique.
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d = ReverseDict((['a',1],['b',2]))
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print d['a']
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print d.reverse[1]
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print d['a'] --> 1
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print d.reverse[1] --> 'a'
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"""
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def __init__(self, *args, **kw):
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dict.__init__(self, *args, **kw)
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