def write_directed_graph(sentences):
edges = []
for chunks in sentences:
for chunk in chunks:
phrase = chunk.get_phrase()
if chunk.dst != -1 and phrase:
edges.append((phrase, chunks[chunk.dst].get_phrase()))
g = pdt.graph_from_edges(edges, directed=True)
g.write_jpeg('graph_from_edges_dot.jpg', prog='dot')
def test_empty_list(directed, graph_type, edges):
graph = pydot_ng.graph_from_edges(edges, directed=directed)
assert graph.graph_type == graph_type
assert graph.to_string() == dedent("""\
{graph_type} G {{
}}
""".format(graph_type=graph_type))
assert not graph.get_edges()
def sentence2directed_graph(file_name, s_id):
dependencies = get_dependencies(file_name, s_id)
edges = []
dep_iter = dependencies.iter('dep')
for dep in dep_iter:
if dep.get('type') == 'punct':
continue
print(dep[0].text, dep[1].text)
edges.append((dep[0].text, dep[1].text))
g = pdt.graph_from_edges(edges, directed=True)
g.write_jpeg('p57_result.jpg', prog='dot')
def test_edge_types(prefix, src, dst):
input_edges = [(src, dst)]
graph = pydot_ng.graph_from_edges(input_edges, node_prefix=prefix)
edges = graph.get_edges()
assert len(edges) == 1
edge = edges[0]
with_prefix = functools.partial("{0}{1}".format, prefix)
assert edge.source == pydot_ng.quote_if_necessary(with_prefix(src))
assert edge.destination == pydot_ng.quote_if_necessary(with_prefix(dst))
def test_from_edge_to_string(prefix, output):
input_edges = [(1, 2), (2, 3.14), (3.14, "a"), ("a", "ą"), ("ą", True)]
graph = pydot_ng.graph_from_edges(input_edges, node_prefix=prefix)
assert len(graph.get_edges()) == len(input_edges)
assert graph.to_string() == output
chunks.clear()
return result
if __name__ == '__main__':
sentence = input('文を入力してください : ')
# Cabochaで入力文を解析して結果をファイルに保存
with open('sentence.cabocha', 'w') as write_file:
cabocha = CaboCha.Parser()
write_file.write(
cabocha.parse(sentence).toString(CaboCha.FORMAT_LATTICE))
# 係り元と係り先の文節を取得
edges = []
for line in get_chunk_list():
for chunk in line:
if chunk.dst != -1:
src = chunk.surface()
dst = line[chunk.dst].surface()
if src != '' and dst != '':
edges.append(((src, dst)))
# グラフを描画
graph = pydot.graph_from_edges(edges, directed=True)
graph.write_png('result.png')
# filter
from knock41 import get_sentences
import pydot_ng as pydot
if __name__ == "__main__":
sentences = get_sentences()
chunks = sentences[5]
edges = []
for idx, chunk in enumerate(chunks):
if chunk.dst != -1 and chunk.morphs[0].pos != "記号":
src_surface = chunk.surface
dst_surface = chunks[chunk.dst].surface
edges.append((src_surface, dst_surface))
g = pydot.graph_from_edges(edges)
g.write_png('knock44.png', prog='dot')
# textの初期化
text = ""
# 文節の取得
for word in chunk.morphs:
if word.surface == "。":
continue
text += word.surface
# textをkeyに係り先をvalueに格納
dst_dict[text] = chunk.dst
dst_list.append(text)
for key, value in dst_dict.items():
if value != -1:
dot_pair.append([key, dst_list[value]])
break
graph= pydot.graph_from_edges(dot_pair, directed=True)
graph.write_png("result44.png")
img = Image.open("result44.png")
plt.imshow(np.asarray(img))
# 岸本
from IPython.display import Image, display_png
display_png(Image('result44.png')) #表示
#45 井原
def search(morphs):
for morph in chunk.morphs:
if morph.pos=="動詞":
dousi=morph.base
id_list=chunk.srcs
def draw_graph(array, i):
g = pydot_ng.graph_from_edges(array)
g.write_jpeg('graph/' + str(i) + '.jpg', prog='dot')
def show(edges):
g = pydot.graph_from_edges(edges, directed=True)
g.write_png('result.png')
# 係り受け元の格納
for i in range(len(chunks)):
if chunks[i].dst > -1:
chunks[chunks[i].dst].srcs.append(i)
# 1文を格納
return chunks
else:
# 形態素の情報を文節に格納
speech = line[line.find('\t') + 1:].replace('\n', '').split(',')
morph = Morph(line[0:line.find('\t')], speech[6], speech[0],
speech[1])
chunk.morphs.append(morph)
return chunks_list
if __name__ == '__main__':
sentence = input()
cabocha_tree = cabocha_parse(sentence)
chunks = read_chunks(cabocha_tree)
edges = []
for i in range(len(chunks)):
if chunks[i].dst > -1:
edges.append([
chunks[i].paragraphs_str(),
chunks[chunks[i].dst].paragraphs_str()
])
print(edges)
g = pydot_ng.graph_from_edges(edges)
g.write_jpeg('chunk_info_graph.jpg', prog='dot')
