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+import suggests
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+import networkx as nx
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+import pyvis
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+import time
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+from pyvis.network import Network
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+import pickle
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+
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+
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+#kw='覆髓'p
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+#kw='塗氟'
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+#kw='口掃機'
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+#kw='牙醫助理'
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+#kw='牙材'
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+#kw='牙醫師公會'
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+#kw='防齲'
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+#kw='齒模'
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+#kw='金屬牙套'
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+#kw='醫療法'
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+#kw='牙醫師手冊'
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+#kw='貝氏刷牙'
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+#kw='牙醫積分'
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+#kw='牙醫師'
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+#kw='牙醫全聯會'
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+#kw='牙醫系'
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+#kw='台大牙醫'
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+#kw='成大牙醫'
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+#kw='陽明牙醫'
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+#kw='北醫牙醫'
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+#kw='醫學系公費生'
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+#kw='醫學系自費生'
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+#kw='北醫牙醫'
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+
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+#kw='牙醫學會'
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+#kw='牙醫總額'
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+#kw='牙醫健保'
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+#kw='文化資產'
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+#kw='藝文團體'
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+#kw='書房 設計'
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+#kw='室內設計'
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+#kw='2021風水擺設'
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+#kw='電視牆'
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+#kw='系統櫃'
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+#kw='收納'
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+kw='巧克力'
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+
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+#kw='廣告投放策略'
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+
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+s = suggests.suggests.get_suggests(kw, source='google')
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+G = nx.Graph()
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+#G = pickle.load( open( "gs2.p", "rb" ) )
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+
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+
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+for sg in s['suggests']:
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+ G.add_edge(kw,sg,weight=1)
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+
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+ print(sg)
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+ time.sleep(1)
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+ s2 = suggests.suggests.get_suggests(sg, source='google')
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+ for elmt in s2['suggests']:
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+ G.add_edge(sg,elmt,weight=1)
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+
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+
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+G.remove_edges_from( list(nx.selfloop_edges(G)))
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+
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+pickle.dump( G, open( "gs2.p", "wb" ) )
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+
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+pyG = Network(height="750px", width="100%",bgcolor="#333333",font_color="white")
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+pyG.from_nx(G)
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+pyG.show('gs.html')
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+
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+
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+
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+
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