I have created a pandas dataframe using this code:
import numpy as np
import pandas as pd
ds = {'col1': [1,2,3,3,3,6,7,8,9,10]}
df = pd.DataFrame(data=ds)
The dataframe looks like this:
print(df)
col1
0 1
1 2
2 3
3 3
4 3
5 6
6 7
7 8
8 9
9 10
I need to create a field called col2
that contains in a list (for each record) the last 3 elements of col1 while iterating through each record. So, the resulting dataframe would look like this:
Does anyone know how to do it by any chance?
Here is a solution using rolling and list comprehension
df['col2'] = [x.tolist() for x in df['col1'].rolling(3)]
col1 col2
0 1 [1]
1 2 [1, 2]
2 3 [1, 2, 3]
3 3 [2, 3, 3]
4 3 [3, 3, 3]
5 6 [3, 3, 6]
6 7 [3, 6, 7]
7 8 [6, 7, 8]
8 9 [7, 8, 9]
9 10 [8, 9, 10]