Python 从 Pandas 数据框怪异的 output 中删除单引号

Question

In my dataframe I have a string column as shown below

acctno
'12345
 12345
 12345-5678

I am trying to remove the Single quote(') in the Column. I ran the below code

df['acctno'] = df['acctno'].str.replace("[']", "")

The output is not what i expected

Output"

acctno
12345
nan 
12345-5678

Trying to understand why 12345 value without single quotes is being removed instead of leaving it as it is. Any help appreciated!

Answer 1

If you intend the column to have only strings and got the integer input as error, you can also convert it to string before the clean up of single quote character, eg by:

df['acctno'] = df['acctno'].astype(str).str.replace("[']", "", regex=True)

Demo

data = {'acctno': {0: "'12345", 1: 12345, 2: '12345-5678'}}
df = pd.DataFrame(data)

df['acctno'] = df['acctno'].astype(str).str.replace("[']", "", regex=True)


## Without NaN now 

       acctno
0       12345
1       12345
2  12345-5678