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Explicitly set dtype of np.lexsort in group_rank #19679

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Feb 13, 2018
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2 changes: 1 addition & 1 deletion pandas/_libs/groupby_helper.pxi.in
Original file line number Diff line number Diff line change
Expand Up @@ -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)
_as = np.lexsort(order).view(dtype=np.int64)
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yeah this prob returns a platform int. this is ok


if not ascending:
_as = _as[::-1]
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