def py2Pandas(self):
columnLabels = ["lng1", "lat1", "lng2", "lat2", "dist", "score"]
df = pd.DataFrame(columns=columnLabels)
for node in self.roadListPY.vertList:
for cnode in self.roadListPY.vertList[node].getConnections():
indexer = str(node)
distance = disCal.distanceCal(node, cnode)
score = 1 # replace this with a scoring algorithm
df.loc[indexer] = [node[0], node[1], cnode[0], cnode[1], distance, score]
self.df = df
def clean2NX(self):
cleanG = self.cleanGraph
nxG = nx.Graph()
nodes = cleanG.vertList.keys()
nodes = dict(zip(nodes, nodes))
for node in nodes:
nxG.add_node(node)
for neighbor in cleanG.vertList[node].getConnections():
length = disCal.distanceCal(node, neighbor)
nxG.add_edge(node, neighbor, weight=length)
self.nxG = nxG
self.nxPos = nodes
