导入 OSMnx
import osmnx as ox
导入墨尔本的图表
address_name='Melbourne'
G=ox.graph_from_address(address_name, distance=50)
从图表中创建 nodes 和 edges 地理数据框
nodes, edges = ox.graph_to_gdfs(G, nodes=True, edges=True)
计算边角并用它们制作熊猫系列
import pandas as pd
G = ox.add_edge_bearings(G)
bearings = pd.Series([data['bearing'] for u, v, k, data in G.edges(keys=True, data=True)], name='bearing')
将系列与edges 地理数据框连接起来,使边缘方位在同一edges 地理数据框中
edges = pd.concat([edges, bearings], axis=1)
例子:
print('Bearing between nodes '+str(edges['u'][0])+' and '+str(edges['v'][0])+' is '+str(edges['bearing'][0]))
Bearing between nodes 6167413263 and 6167441066 is 69.48
您可以使用以下函数计算任意两个节点之间的方位角,虽然它与计算出的方位角不完全匹配,但相当准确。
def bearing(G,node1,node2):
import math
node1lat = nodes.at[node1, 'y']
node1lon = nodes.at[node1, 'x']
node2lat = nodes.at[node2, 'y']
node2lon = nodes.at[node2, 'x']
londiff = node2lon - node1lon
print('londiff: '+str(londiff))
latdiff = node2lat - node1lat
print('latdiff: '+str(latdiff))
if latdiff > 0 and londiff > 0: # Quadrant1
bearing = 90.0 - math.degrees(math.atan2(latdiff,londiff))
elif latdiff < 0 and londiff > 0: #Qaudrant2
bearing = 90.0 - math.degrees(math.atan2(latdiff,londiff))
elif latdiff < 0 and londiff < 0: #Qaudrant3
bearing = 90.0 - math.degrees(math.atan2(latdiff,londiff))
elif latdiff > 0 and londiff < 0: #Qaudrant4
bearing = 450.0 - math.degrees(math.atan2(latdiff,londiff))
return bearing