我试图在数据框中添加两个值作为列表,一个是句子,另一个是我得到的单词列表,在这些句子标记化之后
现在,我已经完成了以下代码
from nltk.tokenize import word_tokenize
example = ['Mary had a little lamb' ,
'Jack went up the hill' ,
'Jill followed suit' ,
'i woke up suddenly' ,
'it was a really bad dream...']
def hi():
for i in example:
#print (word_tokenize(i),i)
a=[i,word_tokenize(i)]
print(a)
预期的产出是
数据框有两列,原始句子和该句子的标记
例
Orignal Sentence |令牌
我的名字是max |我的姓名,就是最大
这是windows |这是,windows
df['Original Sentence'] = a[0]
df['Tokens'] = a[1]
或者我们可以完全跳过你的功能:
df['Original Sentence'] = example
df['Tokens'] = [word_tokenize(i) for i in example]
编辑: 因为看起来你没有开始的数据帧。
import pandas as pd
df = pd.DataFrame.from_dict({'Original Sentence': example,
'Tokens': [word_tokenize(i) for i in example]})
print(df) #to see your dataframe
df.to_csv('mydata.csv') #To output your dataframe into a csv file
其他格式:
df.to_sql(etc...) #Refer to comment below
要作为sql direct直接输出到数据库,需要特定于db的设置。请参考此处:https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_sql.html