def to_numpy(self, selector, vertex_range=None):
"""Select some elements of the graph and output to numpy.
Args:
selector (str): Select a portion of graph as a numpy.ndarray.
vertex_range(dict, optional): Slice vertices. Defaults to None.
Returns:
`numpy.ndarray`
"""
self.check_unmodified()
selector = transform_labeled_vertex_property_data_selector(self, selector)
vertex_range = transform_vertex_range(vertex_range)
op = graph_to_numpy(self, selector, vertex_range)
ret = op.eval()
return decode_numpy(ret)
def to_numpy(self, selector, vertex_range=None):
"""Select some elements of the graph and output to numpy.
Args:
selector (str): Select a portion of graph as a numpy.ndarray.
vertex_range(dict, optional): Slice vertices. Defaults to None.
Returns:
`numpy.ndarray`
"""
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
self._ensure_loaded()
self._check_unmodified()
selector = utils.transform_labeled_vertex_property_data_selector(
self, selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_numpy(self, selector, vertex_range)
ret = op.eval()
return utils.decode_numpy(ret)
def to_numpy(self, selector, vertex_range=None):
"""Select some elements of the graph and output to numpy.
Args:
selector (str): Select a portion of graph as a numpy.ndarray.
vertex_range(dict, optional): Slice vertices. Defaults to None.
Returns:
:class:`graphscope.framework.context.ResultDAGNode`:
A result holds the `numpy.ndarray`, evaluated in eager mode.
"""
# avoid circular import
from graphscope.framework.context import ResultDAGNode
check_argument(self.graph_type == graph_def_pb2.ARROW_PROPERTY)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_numpy(self, selector, vertex_range)
return ResultDAGNode(self, op)