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Rolling | Time Series Essentials
Time Series Essentials
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Course Content

Time Series Essentials

bookRolling

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.
Task
test

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

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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.
Task
test

Swipe to show code editor

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

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 7
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