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Exploring Rows in DataFrame in Python

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Questions and Answers

What does the output of `ForestAreaDF.size` indicate?

The number of columns in the DataFrame

The number of rows in the DataFrame

The memory usage of the DataFrame

The total number of values in the DataFrame (correct)

What does `ForestAreaDF.T` do to the DataFrame?

It rearranges the row indices

It sorts the DataFrame based on column labels

It displays a summary of the DataFrame

It transposes the DataFrame (correct)

What does `ForestAreaDF.head(2)` do?

Displays the first 2 rows of the DataFrame (correct)

Calculates the mean of the DataFrame

Sorts the DataFrame in ascending order

Displays the last 2 rows of the DataFrame

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

<code>n</code> (C) Signup and view all the answers

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

5 (B) Signup and view all the answers

What data does `ForestAreaDF.tail(2)` show?

Last 2 rows of the DataFrame (D) Signup and view all the answers

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

Each other's position (C) Signup and view all the answers

`ForestAreaDF.head(n)` is used to display:

<code>n</code> specified rows from the DataFrame (A) Signup and view all the answers

`ForestAreaDF.T` primarily helps in:

Reorganizing data for analysis (B) Signup and view all the answers

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

Last 5 rows of the DataFrame (C) Signup and view all the answers