def to_dataframe(self, selector, vertex_range=None):
"""Select some elements of the graph and output as a pandas.DataFrame
Args:
selector (dict): Select some portions of graph.
vertex_range (dict, optional): Slice vertices. Defaults to None.
Returns:
`pandas.DataFrame`
"""
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
self._ensure_loaded()
self._check_unmodified()
check_argument(
isinstance(selector, Mapping),
"selector of to_vineyard_dataframe must be a dict",
)
selector = {
key:
utils.transform_labeled_vertex_property_data_selector(self, value)
for key, value in selector.items()
}
selector = json.dumps(selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_dataframe(self, selector, vertex_range)
ret = op.eval()
return utils.decode_dataframe(ret)
def to_dataframe(self, selector, vertex_range=None):
"""Select some elements of the graph and output as a pandas.DataFrame
Args:
selector (dict): Select some portions of graph.
vertex_range (dict, optional): Slice vertices. Defaults to None.
Returns:
:class:`graphscope.framework.context.ResultDAGNode`:
A result holds the `pandas.DataFrame`, evaluated in eager mode.
"""
# avoid circular import
from graphscope.framework.context import ResultDAGNode
check_argument(self.graph_type == graph_def_pb2.ARROW_PROPERTY)
check_argument(
isinstance(selector, Mapping),
"selector of to dataframe must be a dict",
)
selector = json.dumps(selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_dataframe(self, selector, vertex_range)
return ResultDAGNode(self, op)