Python 網路分析進階
Eric Ma
Data Carpentry instructor and author of nxviz package
全域與區域尺度的探索
全域：中心性分佈
區域：連結性與結構
擷取特定節點或節點集合
繪製節點統計的時間序列
customer1
Gs = [....] noi = 'customer1' degs = [] for g in Gs: ... # Get the degree of the node degs.append(len(g.neighbors(noi))) plt.plot(degs) plt.show()
Gs = [....]
noi = 'customer1'
degs = []
for g in Gs: ... # Get the degree of the node degs.append(len(g.neighbors(noi)))
plt.plot(degs) plt.show()
from collections import defaultdict d = defaultdict(list) d['heathrow'].append(0.31) d['heathrow'].append(0.84) d
from collections import defaultdict d = defaultdict(list)
d['heathrow'].append(0.31) d['heathrow'].append(0.84)
d
defaultdict(list, {'heathrow': [0.31, 0.84]})
d2 = dict() d2['heathrow'].append(0.31)
KeyError Traceback (most recent call last) <ipython-input-19-291c74368a8f> in <module>() --> 1 d2['heathrow'].append(0.31) KeyError: 'heathrow'
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