Reputation: 1471
I have to duplicate rows that have a certain value in a column and replace the value with another value.
For instance, I have this data:
import pandas as pd
df = pd.DataFrame({'Date': [1, 2, 3, 4], 'B': [1, 2, 3, 2], 'C': ['A','B','C','D']})
Now, I want to duplicate the rows that have 2 in column 'B' then change 2 to 4
df = pd.DataFrame({'Date': [1, 2, 2, 3, 4, 4], 'B': [1, 2, 4, 3, 2, 4], 'C': ['A','B','B','C','D','D']})
Please help me on this one. Thank you.
Upvotes: 2
Views: 83
Reputation: 51335
You can use append
, to append the rows where B == 2
, which you can extract using loc
, but also reassigning B
to 4
using assign
. If order matters, you can then order by C
(to reproduce your desired frame):
>>> df.append(df[df.B.eq(2)].assign(B=4)).sort_values('C')
B C Date
0 1 A 1
1 2 B 2
1 4 B 2
2 3 C 3
3 2 D 4
3 4 D 4
Upvotes: 5