数据集

本教程展示了如何从 NetSet 集合中加载图。

[1]:

from sknetwork.data import load_netset

NetSet

从 NetSet 集合中加载图。

[2]:

dataset = load_netset('openflights')
adjacency = dataset.adjacency
names = dataset.names

Downloading openflights from NetSet...
Unpacking archive...
Parsing files...
Done.

[3]:

# to get all fields
dataset

[3]:

{'adjacency': <3097x3097 sparse matrix of type '<class 'numpy.int64'>'
        with 36386 stored elements in Compressed Sparse Row format>,
 'meta': {'name': 'openflights',
  'description': 'Airports with daily number of flights between them.',
  'source': 'https://openflights.org'},
 'names': array(['Goroka Airport', 'Madang Airport', 'Mount Hagen Kagamuga Airport',
        ..., 'Saumlaki/Olilit Airport', 'Tarko-Sale Airport',
        'Alashankou Bole (Bortala) airport'], dtype='<U65'),
 'position': array([[145.39199829,  -6.08168983],
        [145.78900147,  -5.20707989],
        [144.29600525,  -5.82678986],
        ...,
        [131.30599976,  -7.98860979],
        [ 77.81809998,  64.93080139],
        [ 82.3       ,  44.895     ]])}

[4]:

# Directed graph
dataset = load_netset('wikivitals')
adjacency = dataset.adjacency
names = dataset.names
labels = dataset.labels

Downloading wikivitals from NetSet...
Unpacking archive...
Parsing files...
Done.

[5]:

# Bipartite graph
dataset = load_netset('cinema')
biadjacency = dataset.biadjacency

Downloading cinema from NetSet...
Unpacking archive...
Parsing files...
Done.