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Index Definition | Time Series Essentials
Time Series Essentials
course content

Course Content

Time Series Essentials

Index Definition

Methods Description

  • pd.to_datetime(arg): This function converts the argument arg to datetime format. It returns a DataFrame, Series, or ndarray containing datetime objects;
  • set_index(keys): This method sets the DataFrame index using the values of the specified column(s) keys. It returns a new DataFrame with the index set;
  • drop(labels, axis=1, inplace=True): This method removes the specified column(s) from the DataFrame. It returns a new DataFrame if inplace=False, otherwise it modifies the DataFrame in place.

Task

  1. Cast the 'Month' column to datetime format;
  2. Set the 'Month' column as an index of the DataFrame;
  3. Drop the 'Month' column.

Task

  1. Cast the 'Month' column to datetime format;
  2. Set the 'Month' column as an index of the DataFrame;
  3. Drop the 'Month' column.

Mark tasks as Completed
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Methods Description

  • pd.to_datetime(arg): This function converts the argument arg to datetime format. It returns a DataFrame, Series, or ndarray containing datetime objects;
  • set_index(keys): This method sets the DataFrame index using the values of the specified column(s) keys. It returns a new DataFrame with the index set;
  • drop(labels, axis=1, inplace=True): This method removes the specified column(s) from the DataFrame. It returns a new DataFrame if inplace=False, otherwise it modifies the DataFrame in place.

Task

  1. Cast the 'Month' column to datetime format;
  2. Set the 'Month' column as an index of the DataFrame;
  3. Drop the 'Month' column.

Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 4
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