使用networkx为每个句子创建图表
使用networkx为每个句子创建图表
提问于 2019-02-26 22:37:09
我想为sentence_list中的每个句子创建一个图表。如果句子包含专有名词，则将该单词附加到subject_list后面。如果单词是普通名词，则将该单词附加到object_list，如果该单词是动词，则将其附加到verb_list。如何为每个句子分别创建图表？
sentence_list=['Tom drinks milk', 'Jack plays cricket', 'Tim ate rice']
tag_list=[Tom:'NP',drinks:'VF',milk:'NN',plays:'VF',cricket:'NN',ate:'VF',rice:'NN',Tim:'NP', Jack:'NP']
subject_list=[]
object_list=[]
verb_list=[]
newDict = {}
for sent in sentence_list:
for line in tag_list:
k,v = line.strip().split(':')
newDict[k.strip()] = v.strip()
if v=='NP':
subject_list.append(k)
print('SUBJECT:',subject_list)
if v=='NN':
object_list.append(k)
print('OBJECT',object_list)
if v=='VF':
verb_list.append(k)
print('VERB',verb_list)
import networkx as nx
import matplotlib.pyplot as pl
labels={}
graph = nx.Graph()
for subject in subject_list:
s=subject.decode('utf-8')
graph.add_node(s)
labels[s]=s
for obj in object_list:
b=obj.decode('utf-8')
graph.add_node(b)
labels[b]=b
for verb in verb_list:
v=verb.decode('utf-8')
graph.add_node(v)
labels[v]=v
for s,o,v in subject_list,object_list,verb_list:
graph.add_edge(subject_list[s],object_list[o])
graph.add_edge(object_list[o],verb_list[v])
pos=nx.spring_layout(graph)
nx.draw_networkx(graph, pos=pos, labels=labels)
pl.show()回答 2
Stack Overflow用户
回答已采纳
发布于 2019-03-05 13:49:28
sentence_list=['Tom drinks milk', 'Jack plays cricket', 'Tim ate rice']
tag_list={'Tom':'NP','Tim':'NP','Jack':'NP','drinks':'VF','milk':'NN','plays':'VF','cricket':'NN','ate':'VF','rice':'NN'}
tag_list_keys = tag_list.keys()
subject_list=[]
object_list=[]
verb_list=[]
def classify(item):
if item in tag_list_keys:
if tag_list[item] == 'NP': subject_list.append(item)
if tag_list[item] == 'NN': object_list.append(item)
if tag_list[item] == 'VF': verb_list.append(item)
def extract(item):
item_split = item.split(' ')
map(classify, item_split)
map(extract, sentence_list)
print('SUBJECT:',subject_list)
print('OBJECT',object_list)
print('VERB',verb_list)
import networkx as nx
import matplotlib.pyplot as plt
G = nx.Graph()
for i in range(3):
G.add_node(object_list[i])
G.add_node(verb_list[i])
G.add_node(subject_list[i])
G.add_edge(verb_list[i],object_list[i])
G.add_edge(subject_list[i],verb_list[i])
nx.draw(G, with_labels= True)
plt.show()希望这能为你解决问题。
Stack Overflow用户
发布于 2019-03-04 20:38:50
你得到的到底是什么错误，你想要的输出是什么。我只是稍微修改了你的代码，它对我来说是有效的。请查看以下代码。
sentence_list=['Tom drinks milk', 'Tom plays cricket', 'Tom ate rice']
tag_list=['Tom:NP','drinks:VF','milk:NN','plays:VF','cricket:NN','ate:VF','rice:NN']
subject_list=[]
object_list=[]
verb_list=[]
newDict = {}
for sent in sentence_list:
for line in tag_list:
print (line)
k,v = line.strip().split(':')
newDict[k.strip()] = v.strip()
if v=='NP':
subject_list.append(k)
print('SUBJECT:',subject_list)
elif v=='NN':
object_list.append(k)
print('OBJECT',object_list)
elif v=='VF':
verb_list.append(k)
print('VERB',verb_list)
import networkx as nx
import matplotlib.pyplot as pl
labels={}
graph = nx.Graph()
for subject in subject_list:
s=(subject)
graph.add_node(s)
labels[s]=s
for obj in object_list:
b=obj
graph.add_node(b)
labels[b]=b
for verb in verb_list:
v=verb
graph.add_node(v)
labels[v]=v
graph.add_edge(subject_list[0],object_list[0])
graph.add_edge(object_list[0],verb_list[0])
graph.add_edge(subject_list[1],object_list[1])
graph.add_edge(object_list[1],verb_list[1])
pos=nx.spring_layout(graph)
nx.draw_networkx(graph, pos=pos, labels=labels)
pl.show()页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/54887911
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