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mrjbq7 opened this issue Jun 4, 2013 · 3 comments
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SparseArray with dtype != float64 #3756

mrjbq7 opened this issue Jun 4, 2013 · 3 comments
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Dtype Conversions Unexpected or buggy dtype conversions Duplicate Report Duplicate issue or pull request Enhancement Internals Related to non-user accessible pandas implementation Refactor Internal refactoring of code Sparse Sparse Data Type
Milestone
0.13.1

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@mrjbq7
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mrjbq7 commented Jun 4, 2013

It would be nice to support sparse arrays with dtype that is not just float64. Specifically, I have some data that is int8 but sparse, it would be nice to be able to create a SparseArray with the SparseIndex feature tracking which values are set and which are not set.

Obviously, np.nan can't be used to indicate not a value, but maybe a default can be provided (in my case, zero is a nice default).
@jreback
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jreback commented Jun 4, 2013

this is slated for 0.12 after a big refactor of how sparse is handled
because its a bit non-trivial

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jreback commented Jun 4, 2013

see #3482

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jreback commented Sep 20, 2013

dupe of #667

@jreback jreback closed this as completed Sep 20, 2013
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Dtype Conversions Unexpected or buggy dtype conversions Duplicate Report Duplicate issue or pull request Enhancement Internals Related to non-user accessible pandas implementation Refactor Internal refactoring of code Sparse Sparse Data Type
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