import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from igraph import *
import datetime

g = Graph()

print(g)
#输出结果如下
#IGRAPH U--- 0 0 --

g.add_vertices(3)
print(g)
#输出结果如下
#IGRAPH U--- 3 0 --

g.add_edges([(0,1), (1,2)])

IGRAPH U--- 3 2 --
+ edges:
0--1 1--2

g.get_eid(2,1)#获取边的序号
#1
g.delete_edges(1)#删除边
print(g)
"""
IGRAPH U--- 3 1 --
+ edges:
0--1
"""

g.vs["name"] = ["Alice"]
g.vs["age"] = [25]
g.vs["gender"] = ["f"]
g.es["is_formal"] = [False]

"""
IGRAPH UN-- 3 1 --
+ attr: age (v), gender (v), name (v), is_formal (e)
+ edges (vertex names):
Alice--Alice
"""

intersections=pd.read_csv("intersections.csv",header=None)
intersection_to_zone=pd.read_csv("intersection_to_zone.csv")
taxi_id=pd.read_csv("taxi_id.csv",header=None)

taxi_id.tail(5)

intersection_to_zone.tail(5)

intersections.head(5)

g1=Graph()
g1.add_vertices(63)
for index, row in taxi_id.iterrows():beginTime = datetime.datetime.fromtimestamp(row["1"])endTime = datetime.datetime.fromtimestamp(row["2"])start_place=row["3"]end_place=row["4"]print(beginTime)try:start_zone=dic[start_place]end_zone=dic[end_place]except KeyError:continueif (beginTime.hour==7 or beginTime.hour==8) and (endTime.hour==7 or endTime.hour==8):#print(start_zone,end_zone)g1.add_edges([(to_vid[start_zone],to_vid[end_zone])])

result1=g1.community_multilevel()

print(result1)

Clustering with 63 elements and 3 clusters
[0] 0, 1, 2, 7, 13, 14, 15, 18, 19, 20, 23, 26, 31, 32, 35, 41, 42, 43, 44,45, 48, 49, 50, 51, 59, 60
[1] 8, 9, 10, 16, 17, 36, 37, 38, 39, 47, 58
[2] 3, 4, 5, 6, 11, 12, 21, 22, 24, 25, 27, 28, 29, 30, 33, 34, 40, 46, 52,53, 54, 55, 56, 57, 61, 62