def _sortjoin(self, other, how='left', return_indexers=False):
"""Join with another column.
When the column is a index, set *return_indexers* to obtain
the indices for shuffling the remaining columns.
"""
from cudf.dataframe.series import Series
if not self.is_type_equivalent(other):
raise TypeError('*other* is not compatible')
lkey, largsort = self.sort_by_values(True)
rkey, rargsort = other.sort_by_values(True)
with _gdf.apply_join(
[lkey], [rkey], how=how, method='sort') as (lidx, ridx):
if lidx.size > 0:
raw_index = cudautils.gather_joined_index(
lkey.to_gpu_array(),
rkey.to_gpu_array(),
lidx,
ridx,
)
buf_index = Buffer(raw_index)
else:
buf_index = Buffer.null(dtype=self.dtype)
joined_index = lkey.replace(data=buf_index)
if return_indexers:
def gather(idxrange, idx):
mask = (Series(idx) != -1).as_mask()
return idxrange.take(idx).set_mask(mask).fillna(-1)
if len(joined_index) > 0:
indexers = (
gather(Series(largsort), lidx),
gather(Series(rargsort), ridx),
)
else:
indexers = (
Series(Buffer.null(dtype=np.intp)),
Series(Buffer.null(dtype=np.intp))
)
return joined_index, indexers
else:
return joined_index
def _hashjoin(self, other, how='left', return_indexers=False):
from cudf.dataframe.series import Series
if not self.is_type_equivalent(other):
raise TypeError('*other* is not compatible')
with _gdf.apply_join(
[self], [other], how=how, method='hash') as (lidx, ridx):
if lidx.size > 0:
raw_index = cudautils.gather_joined_index(
self.to_gpu_array(),
other.to_gpu_array(),
lidx,
ridx,
)
buf_index = Buffer(raw_index)
else:
buf_index = Buffer.null(dtype=self.dtype)
joined_index = self.replace(data=buf_index)
if return_indexers:
def gather(idxrange, idx):
mask = (Series(idx) != -1).as_mask()
return idxrange.take(idx).set_mask(mask).fillna(-1)
if len(joined_index) > 0:
indexers = (
gather(Series(range(0, len(self))), lidx),
gather(Series(range(0, len(other))), ridx),
)
else:
indexers = (
Series(Buffer.null(dtype=np.intp)),
Series(Buffer.null(dtype=np.intp))
)
return joined_index, indexers
else:
return joined_index