Docstrings

pyzx/graph/base.py

@@ -729,13 +729,12 @@ def to_matrix(self,preserve_scalar:bool=True) -> np.ndarray:
         return tensor_to_matrix(tensorfy(self, preserve_scalar), self.num_inputs(), self.num_outputs())
 
     def to_dict(self, include_scalar:bool=True) -> Dict[str, Any]:
-        """Returns a json representation of the graph that follows the Quantomatic .qgraph format.
-        Convert back into a graph using :meth:`from_json`."""
+        """Returns a dictionary representation of the graph, which can then be converted into json."""
         from .jsonparser import graph_to_dict
         return graph_to_dict(self, include_scalar)
 
     def to_json(self, include_scalar:bool=True) -> str:
-        """Returns a json representation of the graph that follows the Quantomatic .qgraph format.
+        """Returns a json representation of the graph.
         Convert back into a graph using :meth:`from_json`."""
         from .jsonparser import graph_to_json
         return graph_to_json(self, include_scalar)
@@ -755,7 +754,7 @@ def from_json(cls, js:Union[str,Dict[str,Any]]) -> BaseGraph[VT,ET]:
         """Converts the given .qgraph json string into a Graph.
         Works with the output of :meth:`to_json`."""
         from .jsonparser import json_to_graph
-        return json_to_graph(js)
+        return json_to_graph(js, backend=cls.backend)
 
     @classmethod
     def from_tikz(cls, tikz: str, warn_overlap:bool= True, fuse_overlap:bool = True, ignore_nonzx:bool = False) -> BaseGraph[VT,ET]: