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GroupBy Rank SegFault Fix - astype instead of view #19701
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Can you merge in master? The timeouts will hopefully be fixed... |
adding @jreback for merge |
chris-b1
reviewed
Feb 14, 2018
pandas/_libs/groupby_helper.pxi.in
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@@ -531,7 +531,7 @@ def group_rank_{{name}}(ndarray[float64_t, ndim=2] out, | |||
# each label corresponds to a different group value, | |||
# the mask helps you differentiate missing values before | |||
# performing sort on the actual values | |||
_as = np.lexsort(order).view(dtype=np.int64) | |||
_as = np.lexsort(order).astype(np.int64) |
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add copy=False
which will elide the copy on a 64 bit platform.
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sure can merge on green. |
thanks again @WillAyd |
harisbal
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Feb 28, 2018
* Use astype instead of view for lexsort upcasting * Added copy=False to astype in group_rank
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xref #19679 and #19481