def _concat(cls, objs):
from cudf import DataFrame, MultiIndex
source_data = [o._source_data for o in objs]
source_data = DataFrame._concat(source_data)
names = [None for x in source_data.columns]
objs = list(filter(lambda o: o.names is not None, objs))
for o in range(len(objs)):
for i, name in enumerate(objs[o].names):
names[i] = names[i] or name
return MultiIndex(names=names, source_data=source_data)
def _concat(cls, objs):
from cudf import DataFrame
from cudf import MultiIndex
_need_codes = not all([hasattr(o, '_source_data') for o in objs])
if _need_codes:
raise NotImplementedError(
'MultiIndex._concat is only supported '
'for groupby generated MultiIndexes at this time.')
else:
_source_data = DataFrame._concat([o._source_data for o in objs])
index = MultiIndex(source_data=_source_data)
return index
