Method to_numpy

python/graphscope/framework/context.py:137–159

Get the context data as a numpy array. Args: selector (str): Describes how to select values of context. See more details in derived context DAG node class. vertex_range (dict): optional, default to None. Works as slicing. The expressio

(self, selector, vertex_range=None, axis=0)

        raise NotImplementedError()

    def to_numpy(self, selector, vertex_range=None, axis=0):
        """Get the context data as a numpy array.

        Args:
            selector (str): Describes how to select values of context.
                See more details in derived context DAG node class.
            vertex_range (dict): optional, default to None.
                Works as slicing. The expression {'begin': m, 'end': n} select a portion
                of vertices from `m` to, but not including `n`. Type of `m`, `n` must be
                identical with vertices' oid type.
                Omitting the first index starts the slice at the beginning of the vertices,
                and omitting the second index extends the slice to the end of the vertices.
                Note the comparison is not based on numeric order, but on alphabetic order.
            axis (int): optional, default to 0.

        Returns:
            :class:`graphscope.framework.context.ResultDAGNode`:
                A result holds the `numpy.ndarray`, evaluated in eager mode.
        """
        self._check_selector(selector)
        vertex_range = utils.transform_vertex_range(vertex_range)
        op = dag_utils.context_to_numpy(self, selector, vertex_range, axis)
        return ResultDAGNode(self, op)

    def to_dataframe(self, selector, vertex_range=None):
        """Get the context data as a pandas DataFrame.