The correct answer is D. Reshape data.

The pivot method in Pandas is used to reshape data from a long format to a wide format, or vice versa. In a long format, each row represents a single observation, and each column represents a single variable. In a wide format, each row represents a single variable, and each column represents a single observation.

The pivot method can be used to perform a variety of tasks, such as:

• Aggregating data: The pivot method can be used to aggregate data by summing, averaging, or counting the values in each column.
• Sorting data: The pivot method can be used to sort data by the values in each column.
• Grouping data: The pivot method can be used to group data by the values in each column.

The pivot method is a powerful tool that can be used to reshape data in a variety of ways. It is often used in conjunction with other Pandas methods, such as the groupby method, to perform more complex data analysis tasks.

Here is an example of how the pivot method can be used to reshape data:

“`
import pandas as pd

df = pd.DataFrame({‘A’: [1, 2, 3], ‘B’: [4, 5, 6], ‘C’: [7, 8, 9]})

Pivot the data from a long format to a wide format

df.pivot(‘A’, ‘B’, ‘C’).sum()

A B C

1 4 7

2 5 8

3 6 9

“`

In this example, the pivot method has been used to reshape the data from a long format to a wide format. The resulting DataFrame has three columns: A, B, and C. The values in each column represent the sum of the values in the corresponding column in the original DataFrame.