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Python for Data Science: Time Series Essentials


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.


  1. Create a rolling window of size 3;
  2. Calculate the rolling_mean;
  3. Print the variable.

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Section 1. Chapter 7