Python pandas 从包含短语的单元格中提取带连字符的单词
我有一个数据表,里面包含了一些短语,我想从这个数据表中提取出只有连字符连接的复合词,然后把它们放到另一个数据表里。
df=pd.DataFrame({'Phrases': ['Trail 1 Yellow-Green','Kim Jong-il was here', 'President Barack Obama', 'methyl-butane', 'Derp da-derp derp', 'Pok-e-mon'],})
到目前为止,我的进展是这样的:
import pandas as pd
df=pd.DataFrame({'Phrases': ['Trail 1 Yellow-Green','Kim Jong-il was here', 'President Barack Obama', 'methyl-butane', 'Derp da-derp derp', 'Pok-e-mon'],})
new = df['Phrases'].str.extract("(?P<part1>.*?)-(?P<part2>.*)")
结果
>>> new
part1 part2
0 Trail 1 Yellow Green
1 Kim Jong il was here
2 NaN NaN
3 methyl butane
4 Derp da derp derp
5 Pok e-mon
我想要的结果是只保留这些词,比如(注意,Pok-e-mon因为有两个连字符,所以显示为 Nan
):
>>> new
part1 part2
0 Yellow Green
1 Jong il
2 NaN NaN
3 methyl butane
4 da derp
5 NaN NaN
2 个回答
1
根据你的描述,我看不出你第一行的 Nan, Nan
是从哪里来的。可能是你例子里的一个笔误吧?无论如何,这里有一个可能的解决方案。
import re
# returns words with at least one hyphen
def split_phrase(phrase):
return re.findall('(\w+(?:-\w+)+)', phrase)
# get all words with hyphens
words_with_hyphens = sum(df.Phrases.apply(split_phrase).values)
# split all words into parts
split_words = [word.split('-') for word in words_with_hyphens]
# keep words with two parts only, else return (Nan, Nan)
new_data = [(ws[0], ws[1]) if len(ws) == 2 else (np.nan, np.nan) for ws in split_words]
# create the new DataFrame
pd.DataFrame(new_data, columns=['part1', 'part2'])
# part1 | part2
#------------------
# 0 Yellow | Green
# 1 Jong | il
# 2 methyl | butane
# 3 da | derp
# 4 NaN | NaN
1
你可以使用这个正则表达式:
(?:[^-\w]|^)(?P<part1>[a-zA-Z]+)-(?P<part2>[a-zA-Z]+)(?:[^-\w]|$)
(?: # non capturing group
[^-\w]|^ # a non-hyphen or the beginning of the string
)
(?P<part1>
[a-zA-Z]+ # at least a letter
)-(?P<part2>
[a-zA-Z]+
)
(?:[^-\w]|$) # either a non-hyphen character or the end of the string
- 你的第一个问题是,
.
这个符号没有限制,会把空格也算进去。[a-zA-Z]
只会选择字母,所以它不会“跳”到下一个单词。 - 对于
pok-e-mon
这种情况,你需要检查一下,在你匹配的前后有没有连字符。
可以在这里查看示例