[FIX] Table: Fix ensure_copy for sparse matrices#1456
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astaric merged 1 commit intobiolab:masterfrom Jul 15, 2016
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Current coverage is 87.94%@@ master #1456 diff @@
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| """ | ||
| if self.X.base is not None: | ||
| if not sp.issparse(self.X) and self.X.base is not None: | ||
| self.X = self.X.copy() |
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But if they are sparse, no copy is made?
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Currently not, this is left to the constructor. As far as I understand ensure_copy only ensures that the data is not a view and makes a copy if it is. Since sparse matrices do not have views (at least I think so) I propose to skip the check. Currently the copy is made in the constructor anyway and hence we probably do not need to make an other here.
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Could you also add a test for copy with sparse data? |
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A simple test was added 😄 |
`ensure_copy` is checking whether an array is a view through the `.base` argument which doesn't exist on `scipy.sparse` matrices. Since `scipy.sparse` don't work with views (e.g. indexing returns a copy of the matrix) the check should only be performed for dense matrices.
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ensure_copyis checking whether an array is a view through the.baseargument which doesn't exist onscipy.sparsematrices. Sincescipy.sparsedon't work with views (e.g. indexing returns a copy of the matrix) the check should only be performed for dense matrices.