The rolling method in Python is used to create a rolling window of a certain size on a time series or other data. It takes one or more parameters: the window size, and optionally the type of window (e.g. boxcar, hamming, etc.). It returns a new object that behaves like a moving window on the original data. You can then perform various operations on this windowed data, such as calculating the mean, sum, or standard deviation.

Methods description

• rolling(window): This method creates a Rolling object that represents a rolling window calculation over the DataFrame. The window parameter specifies the size of the rolling window.
• mean(): This method calculates the mean value over the rolling window. It returns a new DataFrame containing the rolling mean values.
• print(df): This function prints the rolling mean DataFrame to the console.