def query_name_times(path):
txt = of.read_file_txt(path)
items = txt_cut(txt)
while 1:
num = eval(input("输入需要获得多少个出场次数最多的人物（3—8）:"))
if 3 <= num <= 8:
for i in range(num):
word, count = items[i]
print("{0:<10}{1:>5}".format(word, count))
break
else:
continue
def query_name(path):
txt = of.read_file_txt(path)
excludes = {"来到", "一个", "国王", "我们", "变成", "你们", "什么"}
for ch in '!@#$%^&*()_+-=[]\{}|;:,./;:；："，。<>?':
txt = txt.replace(ch, "")
words = pseg.cut(txt)
counts = {}
for w in words:
if len(w.word) == 1:
continue
if w.flag == 'nr':
counts[w.word] = counts.get(w.word, 0) + 1
keys_list = list(counts.keys())
for word in excludes:
if word in keys_list:
del counts[word]
items = list(counts.items())
items.sort(key=lambda x: x[1], reverse=True)
return items
def test_cut_sentence():
txt = of.read_file_txt(path_xyj)
sentence = standard.cut_sentence(txt)
of.write_list(sentence, path_sentences)
def test_query_name_times_udf():
txt = of.read_file_txt(path_xyj)
items = pre.query_name_times_udf(path_rw, txt)
for i in range(len(items)):
word, count = items[i]
print("{0:<10}{1:>5}".format(word, count))
def test_read_file_txt():
print(of.read_file_txt(path_sent))