Question

这是我的数据集

Id Text
1. Dear Mr. John, your bag order is delivered
2. Dear Mr. Brick, your ball order is delivered
3. Dear Mrs. Blue, your ball purchase is delivered

我需要的是

Id  Text
 1. Dear Mr. your order is delivered
 2. Dear Mr. your ball order is delivered
 3. Dear your ball is delivered

所以只出现一次的单词被删除了

Answer 1

使用：

#split to words and create Series
all_val = df['Text'].str.split(expand=True).stack()
#remove duplicates and join together per first level of MultiIndex
df['Text'] = all_val[all_val.duplicated(keep=False)].groupby(level=0).apply(' '.join)
print (df)
    Id                                   Text
0  1.0       Dear Mr. your order is delivered
1  2.0  Dear Mr. your ball order is delivered
2  3.0            Dear your ball is delivered

或者：

#join all text together and split by whitespaces
all_val = ' '.join(df['Text']).split()
#get unique values
once = [x for x in all_val if all_val.count(x) == 1]

#remove from text by nested list comprehension
df['Text'] = [' '.join([y for y in x.split() if y not in once]) for x in df['Text']]
#apply alternative
#df['Text'] = df['Text'].apply(lambda x: ' '.join([y for y in x.split() if y not in once]))
print (df)
    Id                                   Text
0  1.0       Dear Mr. your order is delivered
1  2.0  Dear Mr. your ball order is delivered
2  3.0            Dear your ball is delivered

Answer 2

你可以做

In [78]: s = pd.Series(df.Text.str.cat(sep=' ').split()).value_counts()

In [79]: exp = '|'.join(s[s.eq(1)].index)

In [80]: df.Text.str.replace(exp, '').str.replace('\s\s+', ' ')
Out[80]:
0         Dear Mr. your order is delivered
1    Dear Mr. your ball order is delivered
2              Dear your ball is delivered
Name: Text, dtype: object

如何删除只出现一次的单词

2 个答案: