Exploring Rows in DataFrame in Python

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What does the output of ForestAreaDF.size indicate?

The total number of values in the DataFrame

What does ForestAreaDF.T do to the DataFrame?

It transposes the DataFrame

What does ForestAreaDF.head(2) do?

Displays the first 2 rows of the DataFrame

Which parameter controls how many rows are displayed by ForestAreaDF.head(n)?

n

What is the default number of rows displayed by ForestAreaDF.tail() when no parameter is specified?

5

What data does ForestAreaDF.tail(2) show?

Last 2 rows of the DataFrame

In a transposed DataFrame, what replaces row indices and column labels?

Each other's position

ForestAreaDF.head(n) is used to display:

n specified rows from the DataFrame

ForestAreaDF.T primarily helps in:

Reorganizing data for analysis

What is displayed when ForestAreaDF.tail() is called without any parameter?

Last 5 rows of the DataFrame

Learn how to access and retrieve rows from a DataFrame using row labels and integers as index labels in Python. Understand how passing an integer value as a row label is interpreted as a label of the index. Practice accessing specific rows and their corresponding data.

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