文章分段,文本结构化
import re
data = []
for line in open('方剂学--完整版.txt',encoding='utf8'):
data.append(line.strip())
print(data[:20])
数据结构:
处理过程,用正则表达式:
f = open('方剂学--完整版.txt',encoding='utf8')
text = f.read()
f.close()
#构造正则串
pattern = """\n(.*?)\n【组成】(.*?)\n【功用】(.*?)\n【主治】(.*?)\n"""
text_list = re.findall(pattern=pattern,string=text)
print(text_list[:5])
用pandas转化为Dataframe结构,可视化程度高:
import pandas as pd
df_drug = pd.DataFrame(text_list,columns=['name','组成','功用','主治'])
df_drug.head(3)
保存结果:
df_drug.to_excel('方剂学_完整版.xlsx',index=None)