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Dataframe Exploration | Time Series Essentials
Time Series Essentials
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Time Series Essentials

bookDataframe Exploration

In Python, the shape attribute of a pandas DataFrame returns a tuple representing the dimensions of the DataFrame. The dtypes attribute returns the data types of the columns in the DataFrame. In Python, the dtypes attribute of a pandas DataFrame returns the data types of the columns in the DataFrame.

Methods description

  • .shape: This attribute contains a tuple representing the dimensions of the DataFrame, where the first element is the number of rows and the second element is the number of columns. It does not take any arguments;

  • .dtypes: This method contains a Series containing the data type of each column in the DataFrame. It does not take any arguments.

Task
test

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Print the shape of the DataFrame and data types of all its columns.

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In Python, the shape attribute of a pandas DataFrame returns a tuple representing the dimensions of the DataFrame. The dtypes attribute returns the data types of the columns in the DataFrame. In Python, the dtypes attribute of a pandas DataFrame returns the data types of the columns in the DataFrame.

Methods description

  • .shape: This attribute contains a tuple representing the dimensions of the DataFrame, where the first element is the number of rows and the second element is the number of columns. It does not take any arguments;

  • .dtypes: This method contains a Series containing the data type of each column in the DataFrame. It does not take any arguments.

Task
test

Swipe to show code editor

Print the shape of the DataFrame and data types of all its columns.

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 3
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