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[FIX] statistics.utils: Fix stats for sparse when last column missing #1432

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Jul 15, 2016
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[FIX] statistics.utils: Fix stats for sparse when last column missing #1432

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2 changes: 1 addition & 1 deletion Orange/statistics/util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -178,7 +178,7 @@ def stats(X, weights=None, compute_variance=False):
if compute_variance:
raise NotImplementedError

non_zero = np.bincount(X.nonzero()[1])
non_zero = np.bincount(X.nonzero()[1], minlength=X.shape[1])
X = X.tocsc()
return np.column_stack((
X.min(axis=0).toarray().ravel(),
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8 changes: 8 additions & 0 deletions Orange/tests/test_statistics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,3 +41,11 @@ def test_stats_sparse(self):
[0, 1, .2, 0, 4, 1],
[0, 1, .2, 0, 4, 1],
[0, 1, .2, 0, 4, 1]])

# assure last two columns have just zero elements
X = X[:3]
np.testing.assert_equal(stats(X), [[0, 1, 1/3, 0, 4, 1],
[0, 1, 1/3, 0, 4, 1],
[0, 1, 1/3, 0, 4, 1],
[0, 0, 0, 0, 5, 0],
[0, 0, 0, 0, 5, 0]])