Question

我有Word及其最接近的相关单词的词典。

我想用原始单词替换字符串中的相关单词。目前我能够替换字符串中只有每个键值的字，我无法替换字符串，因为Key具有多个值。怎么做呢

示例输入

North Indian Restaurant
South India  Hotel
Mexican Restrant
Italian  Hotpot
Cafe Bar
Irish Pub
Maggiee Baar
Jacky Craft Beer
Bristo 1889
Bristo 188
Bristo 188.

如何制作字典

y= list(word)
words = y
similar = [[item[0] for item in model.wv.most_similar(word) if item[1] > 0.7] for word in words]
similarity_matrix = pd.DataFrame({'Orginal_Word': words, 'Related_Words': similar})
similarity_matrix = similarity_matrix[['Orginal_Word', 'Related_Words']]

在数据框内有2列，列表为

Orginal_Word    Related_Words
[Indian]        [India,Ind,ind.]    
[Restaurant]    [Hotel,Restrant,Hotpot]   
[Pub]           [Bar,Baar, Beer]     
[1888]          [188, 188., 18]

词典

similarity_matrix.set_index('Orginal_Word')['Related_Words'].to_dict()

{'Indian ': 'India, Ind, ind.',
 'Restaurant': 'Hotel, Restrant, Hotpot',
 'Pub': 'Bar, Baar, Beer'
 '1888': '188, 188., 18'}

预期输出

North Indian Restaurant
South India  Restaurant
Mexican Restaurant
Italian  Restaurant
Cafe Pub
Irish Pub
Maggiee Pub
Jacky Craft Pub
Bristo 1888
Bristo 1888
Bristo 1888

感谢任何帮助

Answer 1

我认为您可以通过replace regex的{{1}}新词典answer {/ 3}}

d = {'Indian': 'India, Ind, ind.',
 'Restaurant': 'Hotel, Restrant, Hotpot',
 'Pub': 'Bar, Baar, Beer',
 '1888': '188, 188., 18'}

d1 = {r'(?<!\S)'+ k.strip() + r'(?!\S)':k1 for k1, v1 in d.items() for k in v1.split(',')}

df['col'] = df['col'].replace(d1, regex=True)
print (df)
                        col
0   North Indian Restaurant
1   South Indian Restaurant
2        Mexican Restaurant
3       Italian  Restaurant
4                  Cafe Pub
5                 Irish Pub
6               Maggiee Pub
7           Jacky Craft Pub
8               Bristo 1888
9               Bristo 1888
10              Bristo 1888

EDIT（上述代码的功能）：

def replace_words(d, col):
    d1={r'(?<!\S)'+ k.strip() + r'(?!\S)':k1 for k1, v1 in d.items() for k in v1.split(',')}
    df[col] = df[col].replace(d1, regex=True)
    return df[col]

df['col'] = replace_words(d, 'col')

EDIT1：

如果出现以下错误：

正则表达式错误 - 缺失），位置7的未终止子模式

是键中必需的转义正则表达式值：

import re

def replace_words(d, col):
    d1={r'(?<!\S)'+ re.escape(k.strip()) + r'(?!\S)':k1 for k1, v1 in d.items() for k in v1.split(',')}
    df[col] = df[col].replace(d1, regex=True)
    return df[col]

df['col'] = replace_words(d, 'col')

如何使用包含python中键的多个值的字典替换字符串

1 个答案: