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Python PandasDataFrame.rolling() function provides a rolling window for mathematical operations.

pandas.DataFrame.rolling()Syntax

DataFrame.rolling(
    window, min_periods=None, center=False, win_type=None, on=None, axis=0, closed=None
)

parameter

Return Value

It returns a window after performing a specific operation.

Example Code: DataFrame.rolling()Find the rolling sum with a window size of 2 using the method

import pandas as pd

dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
                        'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)

dataframe1 = dataframe.rolling(2).sum()
print("The Rolling Window After Calculation is: \n")
print(dataframe1)

Output:

The Original Data frame is: 

   Attendance  Obtained Marks
0          60              90
1         100              75
2          80              82
3          78              64
4          95              45
The Rolling Window After Calculation is: 

   Attendance  Obtained Marks
0         NaN             NaN
1       160.0           165.0
2       180.0           157.0
3       158.0           146.0
4       173.0           109.0

The function returns the rolling sum over the index axis. Note that for index 0, the function returns 0 due to the size of the rolling window NaN.

Example Codes: Find the rolling mean with a window size of 3 using DataFrame.rolling() Method

import pandas as pd

dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
                        'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)

dataframe1 = dataframe.rolling(3).mean()
print("The Rolling Window After Calculation is: \n")
print(dataframe1)

Output:

The Original Data frame is: 

   Attendance  Obtained Marks
0          60              90
1         100              75
2          80              82
3          78              64
4          95              45
The Rolling Window After Calculation is: 

   Attendance  Obtained Marks
0         NaN             NaN
1         NaN             NaN
2   80.000000       82.333333
3   86.000000       73.666667
4   84.333333       63.666667

This function returns the rolling mean window.