In SAS, you can use the RETAIN statement to retain the value of a variable to the next observation. However, Python does not have a direct equivalent to the RETAIN statement.

To achieve similar functionality in Python, you can use the pandas library. Here's an example of how you can retain the value of a variable to the next 10 records using pandas:

import pandas as pd

# Create a sample DataFrame
data = {'Variable': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]}
df = pd.DataFrame(data)

# Use the shift() function to shift the variable by 10 rows
df['Retained_Variable'] = df['Variable'].shift(-10)

print(df)

Output:

    Variable  Retained_Variable
0          1               11.0
1          2               12.0
2          3               13.0
3          4               14.0
4          5               15.0
5          6                NaN
6          7                NaN
7          8                NaN
8          9                NaN
9         10                NaN
10        11                NaN
11        12                NaN
12        13                NaN
13        14                NaN
14        15                NaN

In the above example, the 'Variable' column is shifted by 10 rows using the shift() function, and the result is stored in the 'Retained_Variable' column. The values in the 'Retained_Variable' column are retained for the next 10 records

R retain the value to next 10 record like SAS

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