python Pandas : replace a str value of column in another str column with a special character

Question

有一个如下所示的数据框。

   id     num     text
   1      1.2     price is 1.2
   1      2.3     price is 1.2 or 2.3
   2      3     The total value is $3 and $130
   3      5     The apple value is 5dollar and $150

我想用字符“UNK”替换文本中的数字

新的数据框更改为:

   id     num     text
   1      1.2     price is UNK
   1      2.3     price is 1.2 or UNK
   2      3    The total value is UNK and 130
   3      5     The apple value is UNK dollar and $150

z 我当前的代码如下

df_dev['text'].str.replace(df_dev['num'], 'UNK')

并且有错误:

TypeError: 'Series' objects are mutable, thus they cannot be hashed

Answer 1

让我们使用正则表达式和替换

df.text.replace(regex=r'(?i)'+ df.num.astype(str),value="UNK")
0              price is UNK
1       price is 1.2 or UNK
2    The total value is UNK
Name: text, dtype: object

#df.text=df.text.replace(regex=r'(?i)'+ df.num.astype(str),value="UNK")

更新

(df.text+' ').replace(regex=r'(?i) '+ df.num.astype(str)+' ',value=" UNK ")
0                      price is UNK 
1               price is 1.2 or UNK 
2    The total value is UNK and 130 
Name: text, dtype: object