#data = {}
for idx, sentence in enumerate(sentences):
#print(idx , sentence)
#data = sentence_to_dot(sentence, data)
_dots.append(sentence_to_dot(idx, sentence))
return _dots
def save_graph(dot, file_name):
g = pydotplus.graph_from_dot_data(dot)
g.write_jpeg(file_name, prog='dot')
if __name__ == '__main__':
chunkeds = list('neko.txt.cabocha')
paired_sentences = make_paired(chunkeds)
dots = sentences_to_dots(paired_sentences)
for idx in range(1):
save_graph(dots[idx], 'graph.jpg')
#print(dots[0])
#print(dots[0][0])
'''
from graphviz import Digraph
# formatはpngを指定(他にはPDF, PNG, SVGなどが指定可)
G = Digraph(format='png')
G.attr('node', shape='square')
from sample46 import sorted_double_list
def sahen_case_frame_patterns(_chunked_sentences):
_sahen_case_frame_patterns = []
for sentence in _chunked_sentences:
for _chunk in sentence:
if not _chunk.has_verb():
continue
sahen_connection_noun = [c.join_morphs() for c in sentence if c.dst == _chunk.srcs and c.has_sahen_connection_noun_plus_wo()]
clauses = [c.join_morphs() for c in sentence if c.dst == _chunk.srcs and not c.has_sahen_connection_noun_plus_wo() and c.has_particle()]
particles = [c.last_particle().base for c in sentence if c.dst == _chunk.srcs and not c.has_sahen_connection_noun_plus_wo() and c.has_particle()]
if len(sahen_connection_noun) > 0 and len(particles) > 0:
_sahen_case_frame_patterns.append([sahen_connection_noun[0] + _chunk.first_verb().base, *sorted_double_list(particles, clauses)])
return _sahen_case_frame_patterns
def print_ans(_sahen_case_frame_patterns):
ans = []
for case in _sahen_case_frame_patterns:
ans.append(case[0] + '\t' + ' '.join(case[1]) + '\t' + ' '.join(case[2]))
for i in range(10):
print(ans[i])
if __name__ == '__main__':
chunkeds = sample41.list('neko.txt.cabocha')
print_ans(sahen_case_frame_patterns(chunkeds))