def test_edge_float_type(self):
G = NdexGraph()
n_a = G.add_new_node(name='A')
n_b = G.add_new_node(name='B')
n_c = G.add_new_node(name='C')
n_d = G.add_new_node(name='D')
e_1 = G.add_edge(n_a, n_b, 10, {'weight': 1.234})
e_2 = G.add_edge(n_a, n_c, 11, {'weight': 2.554})
e_3 = G.add_edge(n_a, n_d, 12, {'weight': 5.789})
e_4 = G.add_edge(n_b, n_c, 13, {'weight': 2.011})
e_5 = G.add_edge(n_b, n_d, 14, {'weight': 7.788})
print(json.dumps(G.to_cx()))
G.upload_to('http://dev.ndexbio.org', 'scratch', 'scratch')
def test_edge_float_type(self):
G = NdexGraph()
n_a = G.add_new_node(name='A')
n_b = G.add_new_node(name='B')
n_c = G.add_new_node(name='C')
n_d = G.add_new_node(name='D')
e_1 = G.add_edge(n_a, n_b, 10, {'weight': 1.234})
e_2 = G.add_edge(n_a, n_c, 11, {'weight': 2.554})
e_3 = G.add_edge(n_a, n_d, 12, {'weight': 5.789})
e_4 = G.add_edge(n_b, n_c, 13, {'weight': 2.011})
e_5 = G.add_edge(n_b, n_d, 14, {'weight': 7.788})
print(json.dumps(G.to_cx()))
G.upload_to('http://dev.ndexbio.org', 'scratch', 'scratch')
def nx_to_NdexGraph(G_nx, discard_null=True):
"""Converts a NetworkX into a NdexGraph object.
Parameters
----------
G_nx : networkx.Graph
Returns
-------
ndex.networkn.NdexGraph
"""
G = NdexGraph()
node_id = 0
node_dict = {}
G.max_edge_id = 0
for node_name, node_attr in G_nx.nodes(data=True):
if discard_null:
node_attr = {
k: v
for k, v in node_attr.items() if not pd.isnull(v)
}
if 'name' in node_attr:
#G.add_node(node_id, node_attr)
G.add_node(node_id, **node_attr)
else:
#G.add_node(node_id, node_attr, name=node_name)
G.add_node(node_id, name=node_name, **node_attr)
node_dict[node_name] = node_id
node_id += 1
for s, t, edge_attr in G_nx.edges(data=True):
if discard_null:
edge_attr = {
k: v
for k, v in edge_attr.items() if not pd.isnull(v)
}
G.add_edge(node_dict[s], node_dict[t], G.max_edge_id, edge_attr)
G.max_edge_id += 1
if hasattr(G_nx, 'pos'):
G.pos = {node_dict[a]: b for a, b in G_nx.pos.items()}
# G.subnetwork_id = 1
# G.view_id = 1
return G
