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collect
Series
In [1]: import cudf In [2]: df = cudf.DataFrame({'a': [], 'b': []}) In [3]: df.groupby('a').agg(list) # equivalently, agg("collect") --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) <ipython-input-3-0f69423f9563> in <module> ----> 1 df.groupby('a').agg(list) ~/NVTX/python/nvtx/nvtx.py in inner(*args, **kwargs) 99 def inner(*args, **kwargs): 100 libnvtx_push_range(self.attributes, self.domain.handle) --> 101 result = func(*args, **kwargs) 102 libnvtx_pop_range(self.domain.handle) 103 return result ~/cudf/python/cudf/cudf/core/groupby/groupby.py in agg(self, func) 169 # a Float64Index, while Pandas returns an Int64Index 170 # (GH: 6945) --> 171 result = self._groupby.aggregate(self.obj, normalized_aggs) 172 173 result = cudf.DataFrame._from_table(result) ~/cudf/python/cudf/cudf/_lib/groupby.pyx in cudf._lib.groupby.GroupBy.aggregate() 153 c_result = move( 154 self.c_obj.get()[0].aggregate( --> 155 c_agg_requests 156 ) 157 ) RuntimeError: cuDF failure at: ../../../../src/column/column_factories.cpp:68: make_empty_column is invalid to call on nested types
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unique
@ttnghia since you implemented collect_set / collect, any chance you could take a look at this?
collect_set
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Hi! This is a current bug in collect aggregate. An issue for it has been filed here: #7611
Closing as duplicated of #7611
ttnghia
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The text was updated successfully, but these errors were encountered: