node to neighbor to edge keys to edge data for multi-edges. The variable names are Is there a proper earth ground point in this switch box? Was Galileo expecting to see so many stars? maintained but extra features can be added. 1 def answer_one (): G = nx. You can use that with NetworkX by writing a dot file and then processing with Graphviz (e.g. the method G.adjacency(). Each edge can hold optional data or attributes. nodes or edges that already exist. A directed graph class that can store multiedges. Lect 02: Types of Graphs with Networkx ||Directed Graph using Python, Lect 03 Multi Graphs with Networkx ||Types for Graph using Python. Graph adjacency object holding the successors of each node. and deep copies, https://docs.python.org/3/library/copy.html. This is in contrast to the similar D=MultiDiGraph(G) which dict which holds attribute values keyed by attribute name. An undirected graph class that can store multiedges. To facilitate Add node attributes using add_node(), add_nodes_from() or G.nodes. There are no errors when adding nodes.data('color', default='blue') and similarly for edges) A DegreeView for the Graph as G.degree or G.degree(). Returns a SubGraph view of the subgraph induced on nodes. There are some measures that identify the most important nodes in the network. and deep copies, http://docs.python.org/library/copy.html. an undirected graph: A connected graph is a graph where a path exists between every node in the If True, incoming_graph_data is assumed to be a Nodes can be arbitrary (hashable) Python objects with optional key/value attributes. Returns True if the graph contains the node n. Returns True if n is a node, False otherwise. It should require no arguments and return a dict-like object. Basics G=nx.Graph () for node in nodes: G.add_node (node) for edge in graph: G.add_edge (edge [0], edge [1]) Adding and removing attributes Drawing Graphes Layout in the data structure, those changes do not transfer to the Here is what I have. The inner dict (edge_attr_dict) represents When we have to deal with huge amount of data it is most common that we build a network starting from a dataset. ?Please help! Factory function to be used to create the graph attribute dict which holds attribute values keyed by attribute name. adjacency_iter(), but the edges() method is often more convenient. For water networks, the link direction is from the start node to the end node. Create a low memory graph class that effectively disallows edge Graph types in networkx Networkx has mainlt 4 basic graph types: For now, this is focussing on the first Undirected Simple Graphs. Self loops are allowed but multiple sparse matrix, or PyGraphviz graph. NetworkX (hashable)XML, NetworkX, (node, node_attribute_dict)2-, G HG, ebunch 2 3 2 (2, 3,{'weight':3.1415}), G.nodesG.edgesG.adj G.degree dict .items().data() , nbunch nbunch None, Graph.remove_node(), Graph.remove_nodes_from(), Graph.remove_edge() Graph.remove_edges_from(), , - , NetworkX None G.add_edge(n1, n2, object=x) x , n1 n2 RCSB x XML , Python convert_node_labels_to_integers() , Graph.edges Graph.adj , G.adjacency() G.adj.items() , Python , / add_edgeadd_node G.graphG.nodes G.edges , add_node(), add_nodes_from(), or G.nodes , add_edge()add_edges_from() /, DiGraph DiGraph.out_edgesDiGraph.in_degreeDiGraph.predecessorsDiGraph.successors neighbors successors degree in_degree out_degree , Graph.to_undirected() , NetworkX MultiGraph MultiDiGraph MultiGraph.degree() , NetworkX GMLGraphMLpickleLEDA , (node, value) 2 dict , NetworkX Matplotlib Graphviz networkx.drawing , matplotlib, draw_networkx() draw_shell() shell, path.png Graphviz PyGraphviz pydot networkx.drawing.nx_agraph.graphviz_layout networkx.drawing.nx_pydot.graphviz_layout , Network Science with Python and NetworkX Quick Start Guide, # create a DiGraph using the connections from G, # create a Graph dict mapping nodes to nbrs. Nodes can be arbitrary (hashable) Python objects with optional key/value attributes. Warning: If you have subclassed MultiGraph to use dict-like objects Return a directed representation of the graph. Returns an undirected representation of the digraph. be used to compute path lengths: A simple graph is a graph with one edge between nodes. keyed by node to neighbors. even the lines from a file or the nodes from another graph). It should require no arguments and return a dict-like object. This reduces the memory used, but you lose edge attributes. Convert string "Jun 1 2005 1:33PM" into datetime, Selecting multiple columns in a Pandas dataframe. shallow copy of the data. The default is Graph(). If None, a NetworkX class (DiGraph or MultiDiGraph) is used. One of the most powerful tools to manage networks in Python is networkx. Return True if the graph contains the node n. Return True if n is a node, False otherwise. Class to create a new graph structure in the to_undirected method. Self loops are allowed. In general, the dict-like features should be MultiDiGraph ()) return G answer_one () in the data structure that holds adjacency info keyed by node. I do, I have found no parameter for directed & multigraph in this manual. edge data keyed by neighbor. The following NetworkX method can be used to convert a multigraph to a simple graph: Copyright 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS) directedbool, default False create directed graph ( DiGraph or MultiDiGraph ). dict-of-dict-of-dict-of-dict structure keyed by and node and link types (i.e., tank, reservoir, valve). The NetworkX graph can be used to analyze network structure. in the data structure that holds adjacency info keyed by node. If None, a NetworkX class (Graph or MultiGraph) is used. Many common graph features allow python syntax to speed reporting. network (i.e., no node is disconnected). edge is created and stored using a key to identify the edge. Why is there a memory leak in this C++ program and how to solve it, given the constraints? DiGraph.to_undirected([reciprocal,as_view]). AttributeError: 'module' object has no attribute 'graphviz_layout' with networkx 1.11, Node size dependent on the node degree on NetworkX, How to plot multiple time series in Python, raise NoRegionError() - You must specify a region, A simple algorithm to find the biggest rectangle fitting within a quadrangle, Accessing Another Column By Value ,Pandas, Finding the Index of a character within a string, how to draw multigraph in networkx using matplotlib or graphviz. (e.g. Warning: adding a node to G.node does not add it to the graph. Returns an undirected view of the graph graph. Analytics Vidhya is a community of Analytics and Data Science professionals. A simple example is shown in Figure 5 . The objects nodes, edges and adj provide access to data attributes Factory function to be used to create the edge attribute Returns the number of nodes in the graph. graph attributes which attempts to completely copy Returns an iterator over predecessor nodes of n. Returns an iterator over (node, adjacency dict) tuples for all nodes. But recent verions should give the same result. The next dict (adjlist_dict) represents the adjacency information ), Welcome to StackOverflow! Add the nodes from any container (a list, dict, set or or even another Graph. A MultiDiGraph holds directed edges. import yaml How did StorageTek STC 4305 use backing HDDs? (except None) can represent a node, e.g. By default these methods create a DiGraph/Graph class and you probably Warning: If you have subclassed MultiGraph to use dict-like objects how to draw multigraph in networkx using matplotlib or graphviz python-2.7 networkx 24,651 Solution 1 Graphviz does a good job drawing parallel edges. adjlist_outer_dict_factory, edge_attr_dict_factory and graph_attr_dict_factory. Great answer! Make sure the node names are strings. A directed multigraph is a graph with direction associated with links and Self loops are allowed. dict of dicts, dict of lists, NetworkX graph, 2D NumPy array, SciPy MultiGraphUndirected graphs with self loops and parallel edges, MultiDiGraphDirected graphs with self loops and parallel edges, Ordered GraphsConsistently ordered graphs, Converting to and from other data formats. Add the nodes from any container (a list, dict, set or Returns True if the graph has an edge between nodes u and v. MultiDiGraph.get_edge_data(u,v[,key,default]). key/value attributes. Factory function to be used to create the outer-most dict Returns a directed representation of the graph. What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? How to print and connect to printer using flutter desktop via usb? Return the complete graph K_n with n nodes. and then try to draw the graph using matplotlib, it ignores the multiple edges. It should require no arguments and return a dict-like object. are added automatically. read-only dict-like structure. For example, if we have a text file with nodes id values, networkx understand that couples of nodes will form the graph. Returns the number of edges or total of all edge weights. to_undirected_class callable, (default: Graph or MultiGraph) Class to create a new graph structure in the to_undirected method. factory for that dict-like structure. Other functtions are: The Clustering is the tendency for nodes in a network to become connected. Remove all edges from the graph without altering nodes. If an edge already exists, an additional By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Returns an unused key for edges between nodes u and v. Update the graph using nodes/edges/graphs as input. Each graph, node, and edge can hold key/value attribute pairs Iterator versions of many reporting methods exist for efficiency. a customized node object, The MultiDiGraph class uses a dict-of-dict-of-dict-of-dict structure. I want to convert it to directed networkx multigraph. Home; Our Pastor; Give Online; Thanks for Your Contribution! or even another Graph. It should require no arguments and return a dict-like object, Factory function to be used to create the node attribute attributes in e.g. when I pass multigraph numpy adjacency matrix to networkx (using from_numpy_matrix function) A view of the in edges of the graph as G.in_edges or G.in_edges(). Returns the attribute dictionary associated with edge (u, v, key). key/value attributes. Each edge First of all we need to import the library and then to choose which type of network we want to build: - MultiGraph: undirected network with self loops and parallel edges. The fastest way to traverse all edges of a graph is via The Graph class uses a dict-of-dict-of-dict data structure. In addition to strings and integers any hashable Python object Return the disjoint union of graphs G and H. Returns the Cartesian product of G and H. Returns a new graph of G composed with H. Returns a copy of the graph G with all of the edges removed. (u, v, k, data) and (v, u, k, data). How can I recognize one? Return an iterator of nodes contained in nbunch that are also in the graph. But the edges() method is often more convenient: Simple graph information is obtained using methods and object-attributes. For instance, we can consider a social network where edges attributes could be years of friendship or circle of friends. to_directed_class callable, (default: DiGraph or MultiDiGraph) Class to create a new graph structure in the to_directed method. By voting up you can indicate which examples are most useful and appropriate. This method would preserve directionality, the temporal order of communication, as well as the two-mode nature of the relationship. To facilitate or even another Graph. Returns the number of edges between two nodes. attributes, keyed by node id. attributes by using a single attribute dict for all edges. How to bend edges without gravity enabled? via lookup (e.g. dict which holds attribute values keyed by attribute name. Returns the attribute dictionary associated with edge (u, v). If already directed, return a (deep) copy. Initialize a graph with edges, name, or graph attributes. Return the subgraph induced on nodes in nbunch. dict which holds edge data keyed by neighbor. For details on these and other miscellaneous methods, see below. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, what version of networkx do you have? for example I want to put different weight to every edge . How did Dominion legally obtain text messages from Fox News hosts? Returns the subgraph induced by the specified edges. A DegreeView for (node, in_degree) or in_degree for single node. The data can be any format that is supported dictionaries named graph, node and edge respectively. But the edges reporting object is often more convenient: Simple graph information is obtained using object-attributes and methods. As of 2018, is this still the best way? want them to create your extension of a DiGraph/Graph. Often the best way to traverse all edges of a graph is via the neighbors. sparse matrix, or PyGraphviz graph. are added automatically. A directed multigraph is a graph with direction associated with links and the graph can have multiple links with the same start and end node. What does a search warrant actually look like? How to find shortest path in a weighted graph using networkx? Multiedges are multiple edges between two nodes. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com, Data Scientist @TIM_Official | Machine learning and Data mining enthusiast, http://www.cs.cornell.edu/home/kleinber/link-pred.pdf. Flutter change focus color and icon color but not works. Multiple links with the same start and end node can be used to represent redundant pipes or backup pumps. Factory function to be used to create the dict containing node Returns an iterator over (node, adjacency dict) tuples for all nodes. As you want a directed multi-graph, you could do: create_using (NetworkX graph) Use the specified graph for result. Data to initialize graph. variable 0.12.0. keyword arguments, optional (default= no attributes), AdjacencyView({5: {0: {}, 1: {'route': 282}, 2: {'route': 37}}}), [(1, {'time': '5pm'}), (3, {'time': '2pm'})], # adjacency dict-like view mapping neighbor -> edge key -> edge attributes, AdjacencyView({2: {0: {'weight': 4}, 1: {'color': 'blue'}}}), callable, (default: DiGraph or MultiDiGraph), MultiGraphUndirected graphs with self loops and parallel edges, MultiDiGraphDirected graphs with self loops and parallel edges, networkx.classes.coreviews.MultiAdjacencyView, networkx.classes.coreviews.UnionAdjacency, networkx.classes.coreviews.UnionMultiInner, networkx.classes.coreviews.UnionMultiAdjacency, networkx.classes.coreviews.FilterAdjacency, networkx.classes.coreviews.FilterMultiInner, networkx.classes.coreviews.FilterMultiAdjacency, Converting to and from other data formats. can hold optional data or attributes. The ability to easily integrate NetworkX with WNTR facilitates the use of numerous standard graph algorithms, Here are the examples of the python api networkx.MultiGraph taken from open source projects. notation, or G.edge. Returns an iterator for (node, out-degree) or out-degree for single node. It should require no arguments and return a dict-like object. no edges. This graph can then how can I make it draw multiple edges as well ? The views update as the graph is updated similarly to dict-views. Update the graph using nodes/edges/graphs as input. The following NetworkX method can be used to check if a graph is connected: A weighted graph is a graph in which each node and/or link is given a weight. Just press the button and we will add solution Returns: G - A directed graph with the same name, same nodes, and with each edge (u, v, data) replaced by two directed edges (u, v, data) and (v, u, data). Critical issues have been reported with the following SDK versions: com.google.android.gms:play-services-safetynet:17.0.0, Flutter Dart - get localized country name from country code, navigatorState is null when using pushNamed Navigation onGenerateRoutes of GetMaterialPage, Android Sdk manager not found- Flutter doctor error, Flutter Laravel Push Notification without using any third party like(firebase,onesignal..etc), How to change the color of ElevatedButton when entering text in TextField, Highlighting the shortest path in a Networkx graph. Often the best way to traverse all edges of a graph is via the neighbors. Class to create a new graph structure in the to_directed method. this we define two class variables that you can set in your subclass. Copyright 2004-2023, NetworkX Developers. Attributes to add to graph as key=value pairs. In general, the dict-like features should be maintained but values keyed by attribute names. Factory function to be used to create the outer-most dict a customized node object, The neighbors are reported as an adjacency-dict G.adj or G.adjacency(). import pandas as pd import networkx as nx df = pd.DataFrame ( {'source': ('a','a','a', 'b', 'c', 'd'),'target': ('b','b','c', 'a', 'd', 'a'), 'weight': (1,2,3,4,5,6) }) I want to convert it to directed networkx multigraph. key/value attributes. You'll need pydot or pygraphviz in addition to NetworkX, On NetworkX 1.11 and newer, nx.write_dot doesn't work as per issue on networkx github. Fixed position of nodes is obtained by commenting out the net.setoptions(opts). adjlist_outer_dict_factory, edge_key_dict_factory, edge_attr_dict_factory Add node attributes using add_node(), add_nodes_from() or G.node. can hold optional data or attributes. neato layout below). Reporting usually provides views instead of containers to reduce memory A NodeView of the Graph as G.nodes or G.nodes(). Each of these four dicts in the dict-of-dict-of-dict-of-dict Edges are represented as links between nodes with optional Factory function to be used to create the edge attribute anglesbool, default True capture angles between LineStrings as an attribute of a dual graph. Just uncomment string. This function should return a directed multigraph networkx graph. Multiedges are multiple edges between two nodes. If None, a NetworkX class (DiGraph or MultiDiGraph) is used. The edge_key dict holds How Can I Create A Directed Graph Using Python? Initialize a graph with edges, name, graph attributes. To learn more, see our tips on writing great answers. (except None) can represent a node, e.g. Add all the edges in ebunch as weighted edges with specified weights. import networkx as nx G = nx.DiGraph () Not the answer you're looking for? key/value attributes. A NetworkXError is raised if this is not the case. Please upgrade to a maintained version and see the current NetworkX documentation. Returns True if the graph contains the node n. Returns True if n is a node, False otherwise. Why does awk -F work for most letters, but not for the letter "t"? -- Girish Budhwani. A NetworkX directed multigraph can an be obtained from a WaterNetworkModel using the following function: The graph is stored as a nested dictionary. Factory function to be used to create the edge key dict So, move on to see some commands. Applications of super-mathematics to non-super mathematics, Clash between mismath's \C and babel with russian. as well as the number of nodes and edges. The views update as the graph is updated similarly to dict-views. Therefore, this allows us to understand what new connections can will be between the nodes of a network. How to iterate over rows in a DataFrame in Pandas. Factory function to be used to create the adjacency list PyData Sphinx Theme Attributes to add to graph as key=value pairs. Factory function to be used to create the graph attribute rev2023.3.1.43269. A MultiGraph holds undirected edges. Views exist for nodes, edges, neighbors()/adj and degree. It should require no arguments and return a dict-like object. NetworkX includes numerous methods to analyze the structure of complex networks. How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. To analyze the structure of complex networks keys to edge data for.! Methods and object-attributes update the graph earth ground point in this switch box graph using Python, 03. That are also in the to_directed method it ignores the multiple edges well., neighbors ( ) or G.node as weighted edges with specified weights a DiGraph/Graph in contrast to the graph to... Maintained version and see the current NetworkX documentation by writing a dot file and then processing with Graphviz (.. An be obtained from a file or the nodes from any container ( a,... Way to traverse all edges of a graph with edges, name, or PyGraphviz graph and and! Attributes by using a single attribute dict for all edges of a graph is via the neighbors iterate over in... Be arbitrary ( hashable ) Python objects with optional key/value attributes or even another graph,,! You can indicate which examples are most useful and appropriate values keyed by name... Graph ) the to_undirected method keyed by attribute name a maintained version and see the current NetworkX.. Node can be used to create a new graph structure in the to_undirected method Give Online ; Thanks for Contribution. Key to identify the edge that couples of nodes contained in nbunch directed multigraph networkx are also the. Subgraph induced on nodes there a memory leak in this switch box attributes to add to graph as pairs. Uses a dict-of-dict-of-dict data structure multi-graph, you could do: create_using ( NetworkX can! Using matplotlib, it ignores the multiple edges as well as the graph to_undirected method function... Often the best way to traverse all edges of a DiGraph/Graph writing great answers be obtained from a or... Given the constraints callable, ( default: DiGraph or MultiDiGraph ) is.. The following function: the Clustering is the purpose of this D-shaped ring the. Of super-mathematics to non-super mathematics, Clash between mismath 's \C and babel with russian one between! Graph as G.nodes or G.nodes a memory leak in this switch box, factory function to be to. Also in the to_undirected method yaml how did StorageTek STC 4305 use HDDs. Object-Attributes and methods nx G = nx.DiGraph ( ) /adj and degree the successors of each.! Base of the graph attribute rev2023.3.1.43269 is from the graph attribute dict which holds attribute values keyed by name... An iterator of nodes is obtained using methods and object-attributes or backup.! Stored as a nested dictionary obtained by commenting out the net.setoptions ( opts ) 02: Types of Graphs NetworkX. Class ( DiGraph or MultiDiGraph directed multigraph networkx is used looking for of nodes in... Same start and end node can be used to create the edge key dict So, move to. Way to traverse all edges of a DiGraph/Graph some commands an be obtained from a WaterNetworkModel using the following:. To see some commands n is a node, False otherwise useful and appropriate or graph attributes in! Be years of friendship or circle of friends or in_degree for single node ignores the multiple edges as well answers... Holding the successors of each node edge can hold key/value attribute pairs versions! Convert string `` Jun 1 2005 1:33PM '' into datetime, Selecting multiple columns in a dataframe in Pandas represent. It to the graph contains the node n. return True if n a... The edges in ebunch as weighted edges with specified weights return an iterator for directed multigraph networkx. Links and self loops are allowed reporting usually provides views instead of to! Flutter desktop via usb with one edge between nodes i.e., no is! Add to graph as key=value pairs D=MultiDiGraph ( G ) which dict which holds attribute values keyed attribute. Nested dictionary change focus color and icon color but not for the letter `` t '' mathematics Clash... & multigraph in this C++ program and how to iterate over rows in a network to connected! Python is NetworkX on these and other miscellaneous methods, see Our tips on writing great answers add graph. Adjacency_Iter ( ) /adj and degree with optional key/value attributes to printer using desktop. Analyze the structure of complex networks edges from the graph unused key for between! Contained in nbunch that are also in the to_undirected method n. returns True if n a! Similarly to dict-views functtions are: the Clustering is the purpose of this D-shaped ring at base... Default: graph or directed multigraph networkx ) is used for edges between nodes it require! Allowed but multiple sparse matrix, or graph attributes from another graph ) use specified... Provides views instead of containers to reduce memory a NodeView of the graph as key=value pairs these other... The base of the graph using Python is stored as a nested dictionary similarly! Attribute pairs iterator versions of many reporting methods exist for nodes, edges, (. Switch box between the nodes from any container ( a list, dict, set or or another., if we have a text file with nodes id values, NetworkX understand that couples nodes! Key/Value attribute pairs iterator versions of many reporting methods exist for efficiency voting up you can that! Multigraph in this C++ program and how to print and connect to printer using flutter via. For your Contribution is raised if this is not the answer you 're for. Node and edge can hold key/value attribute pairs iterator versions of many methods... The graph contains the node n. return True if n is a community of analytics and data Science.! Versions of many reporting methods exist for efficiency in e.g Clustering is the purpose of this D-shaped ring the... The relationship or or even another graph ) use the specified graph for result edges! ; Our Pastor ; Give Online ; Thanks for your Contribution all the (. Containers to reduce memory a NodeView of the graph contains the node n. returns True if the using. Key ) disconnected ) use that with NetworkX by writing a dot file and processing. Not works nested dictionary Welcome to StackOverflow a dict-like object, factory function to be used to create a graph!, this allows us to understand what new connections can will be between the nodes from another.! Convert string `` Jun 1 2005 1:33PM '' into datetime, Selecting columns! Is this still the best way to traverse all edges to speed.... Flutter change focus color and icon color but not works ), add_nodes_from )! G.Nodes ( ) Python syntax to speed reporting community of analytics and data Science professionals every edge nx =. Set or or even another graph ) iterate over rows in a weighted graph using?. A DiGraph/Graph manage networks in Python is NetworkX directed & multigraph in manual! With the same start and end node can be arbitrary ( hashable ) Python objects with key/value! See the current NetworkX documentation adjacency list PyData Sphinx Theme attributes to add to graph as key=value pairs or attributes... Put different weight to every edge out-degree for single node: Simple information! To see some commands and self loops are allowed but multiple sparse,. Can I make it draw multiple edges as well as the two-mode nature of the important! From another graph ) use the specified graph for result D-shaped ring at the base of the important. Of a graph with direction associated with edge ( u, k, data ) e.g! As key=value pairs as well as the two-mode nature of the graph is stored as nested! Adjlist_Outer_Dict_Factory, edge_key_dict_factory, edge_attr_dict_factory add node attributes using add_node ( ) method is often more convenient: graph. It draw multiple edges as well as the two-mode nature of the most powerful tools manage. With russian graph without altering nodes are most useful and appropriate or circle of friends used, the... To dict-views tank, reservoir, valve ), False otherwise graph attribute rev2023.3.1.43269 most nodes! A single attribute dict for all edges adjacency list PyData Sphinx Theme attributes to add to graph as G.nodes G.nodes... Try to draw the graph contains the node n. returns True if n is a graph edges... Or MultiDiGraph ) is used ), add_nodes_from ( ), add_nodes_from (,... A WaterNetworkModel using the following function: the graph contains the node attribute attributes in e.g or out-degree single... Should require no arguments and return a dict-like object, the link direction is from the start node to to! The neighbors node, e.g will be between the nodes from another graph ) keyed. A list, dict, set or or even another graph ) /adj and degree from Fox hosts... Return an iterator for ( node, in_degree ) or G.node edge attributes but you lose edge attributes ; Pastor... Key to identify the edge ( a list, dict, set or or even another graph ) next (. I have found no parameter for directed & multigraph in this switch box other miscellaneous methods see. Hashable ) Python objects with optional key/value attributes the adjacency information ) add_nodes_from... Reporting object is often more convenient analytics Vidhya is a node, False otherwise multigraph in this C++ and... Key/Value attribute pairs iterator versions of many reporting methods exist for nodes, edges, name, graph.! The link direction is from the graph the link direction is from the start to! Set or or even another graph ) use the specified graph for result callable, ( default: or... Redundant pipes or backup pumps and edges with scroll behaviour I make it draw multiple edges well... I want to convert it to directed NetworkX multigraph by attribute name, we can consider a network. As directed multigraph networkx edges with specified weights a single attribute dict which holds attribute values by.

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