In Pandas, what method is used to calculate the mean, median, and other summary statistics for numerical columns in a DataFrame?

The correct answer is C. describe().

The describe() method is used to calculate the mean, median, and other summary statistics for numerical columns in a DataFrame. It also calculates the count, minimum, maximum, and standard deviation.

The sort_values() method is used to sort a DataFrame by a specified column or columns.

The melt() method is used to convert a DataFrame with columns of mixed types (e.g., both strings and numbers) into a DataFrame with two columns: a column of categories and a column of values.

The pivot() method is used to pivot a DataFrame, which means to change the orientation of the DataFrame from rows and columns to columns and rows.

Here is an example of how to use the describe() method:

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import pandas as pd

df = pd.DataFrame({‘A’: [1, 2, 3], ‘B’: [4, 5, 6],