I have a dataset like below:

Group   Attributes  S2SFlag
Age 1 to 5  Yes
Age 6 to 10 No
Channel DD  No
Channel Agency  Yes
Status  Lapse   Yes
Status  Active  Yes

Now I want to explode the values of the 'Age' group by the range defined in the attributes column while retaining other column values.

The expected output is as below:

Attempt so far:

df1 = pd.read_csv('')
df1 = df1[df1['Group'] == 'Age']
attrList = df1['Attributes'].tolist()
for i in attrList:
    start = i.split(" to ")[0]
    end = i.split(" to ")[1]
    for j in range(int(start), int(end)   1):
        df1['Attributes'] = str(j)  

It is giving me output as below:

 Group Attributes S2SFlag
0   Age         10     Yes
1   Age         10      No

CodePudding user response：

You can use a custom function to replace the string with range, then explode:

import re

def to_range(s):
    m = re.match('(\d ) to (\d )$', s)
    return range(int(m.group(1)), int(m.group(2)) 1) if m else s

(df.assign(Attributes=[to_range(s) for s in df['Attributes']])
   .explode('Attributes')
)

output:

     Group Attributes S2SFlag
0      Age          1     Yes
0      Age          2     Yes
0      Age          3     Yes
0      Age          4     Yes
0      Age          5     Yes
1      Age          6      No
1      Age          7      No
1      Age          8      No
1      Age          9      No
1      Age         10      No
2  Channel         DD      No
3  Channel     Agency     Yes
4   Status      Lapse     Yes
5   Status     Active     Yes