如何使用 Python 删除列中单元格的某些部分？

Question

So I have a column of strings of numbers in which certain cells have words ahead of the strings. It looks a little something like this:

Names	Values
First	'9.90'
Second	'9.68'
Third	'9.45'
Fourth	'Loan fee:8.10'
Fifth	'9.98'

Now I've tried a lot of different ideas just to get the 'Loan fee:' removed, basically i first converted it into a list called newz and then tried

e=[]
for i in newz:
    i.replace('Loan fee:','')
    e.append(i)

Tried using regex as well:

def change(i):
    re.sub('Loan fee:','',i)

result = list(map(lambda x: change(x),newz))

So far nothing's worked

Answer 1

If you're using Pandas:

import pandas as pd

df = pd.DataFrame({
    'Names': ['First', 'Second', 'Third', 'Fourth', 'Fifth'],
    'Values': ['9.90', '9.68', '9.45', 'Loan fee:8.10', '9.98']
})

df['Values'] = df['Values'].str.replace('Loan fee:', '')
print(df)

Outputs

    Names Values
0   First   9.90
1  Second   9.68
2   Third   9.45
3  Fourth   8.10
4   Fifth   9.98

Answer 2

str.replace returns a new string. Also you should first check whether the string contains 'Loan fee:' and then replace it.

So you should do:

e=[]
for i in newz:
    if "Loan fee:" in i:
        s = i.replace('Loan fee:','')
        e.append(s)
    else:
        e.append(i)