Implemented Dataset.get_indices() and extended Dataset.get_identifiers() to convert between indices and identifiers and subsets thereof.
Also added tests.
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@ -172,13 +172,28 @@ class Dataset:
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"""Returns dim names"""
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return [dim for dim in self._dims]
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def get_identifiers(self,dim):
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"""Returns identifiers aling dim, sorted by position (index)"""
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def get_identifiers(self, dim, indices=None):
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"""Returns identifiers along dim, sorted by position (index).
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You can optionally provide a list of indices to get only the
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identifiers of a given position.
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"""
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items = self._map[dim].items()
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backitems=[ [v[1],v[0]] for v in items]
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backitems.sort()
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sorted_ids=[ backitems[i][1] for i in range(0,len(backitems))]
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return tuple(sorted_ids)
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if indices != None:
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return [sorted_ids[index] for index in indices]
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else:
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return sorted_ids
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def get_indices(self, dim, idents):
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"""Get indices for identifiers along dimension."""
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reverse = {}
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for key, value in self._map[dim].items():
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reverse[value] = key
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return [self._map[dim][key] for key in idents]
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class CategoryDataset(Dataset):
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@ -21,6 +21,24 @@ class DatasetTest(unittest.TestCase):
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assert data['samples']['sample_b']==1
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assert 'gene_c' in data['genes'].keys()
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assert data['genes']['gene_c']==2
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def testLookupIndicesOfIdentifiers(self):
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data = self.testdata
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# base case
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self.assertEquals([0, 1, 2], data.get_indices('genes', ['gene_a', 'gene_b', 'gene_c']))
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# "advanced" lookup
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self.assertEquals([2, 0], data.get_indices('genes', ['gene_c', 'gene_a']))
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# other dimension
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self.assertEquals([0, 1], data.get_indices('samples', ['sample_a', 'sample_b']))
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def testLookupIdentifiersOfIndices(self):
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data = self.testdata
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# base case
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self.assertEquals(['gene_a', 'gene_b', 'gene_c'], data.get_identifiers('genes', [0, 1, 2]))
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# "advanced" lookup
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self.assertEquals(['gene_c', 'gene_a'], data.get_identifiers('genes', [2, 0]))
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# other dimension
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self.assertEquals(['sample_a', 'sample_b'], data.get_identifiers('samples', [0, 1]))
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#def testExtraction(self):
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# ids = ['gene_a','gene_b']
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