Update docstring

src/pymatching/matching.py

@@ -212,7 +212,25 @@ def add_edge(
                                      error_probability, has_error_probability)
 
     def load_from_networkx(self, graph: nx.Graph) -> None:
-        """
+        r"""
+        Load a matching graph from a NetworkX graph
+
+        Parameters
+        ----------
+        graph : networkx.Graph
+            If `G` has `M` nodes, each node
+            `m` in `G` should be an integer :math:`0<m<M-1`, and each node should
+            be unique. Each edge in the NetworkX graph can have optional
+            attributes `qubit_id`, `weight` and `error_probability`.
+            `qubit_id` should be an int or a set of ints.
+            Note that the `qubit_id` attribute can instead be used to store the indices
+            of logical observables flipped by an error on the corresponding edge
+            (e.g. a frame change in an error instruction in a stim detector error model).
+            Each `weight` attribute should be a non-negative float. If
+            every edge is assigned an error_probability between zero and one,
+            then the `add_noise` method can be used to simulate noise and
+            flip edges independently in the graph.
+
         Examples
         --------
         >>> import pymatching