Problem statementSend feedbackWhich of the following methods is used to group data of a data frame, based on specific columns?

The method used to group data of a data frame based on specific columns is called 'groupby()' in Python's pandas library. Here is a step-by-step guide on how to use it:

1. Import the pandas library:

import pandas as pd

2. Create a DataFrame or load a DataFrame from a file. For example:

data = {'Name': ['John', 'Anna', 'John', 'Anna', 'John'],
        'Score': [90, 85, 78, 92, 88],
        'Subject': ['Math', 'Math', 'Science', 'Science', 'English']}
df = pd.DataFrame(data)

3. Use the 'groupby()' function to group the data based on specific columns. For example, if you want to group the data by 'Name':

grouped = df.groupby('Name')

4. You can then perform various operations on the grouped data. For example, to get the mean score for each person:

mean_scores = grouped['Score'].mean()

This will return a new DataFrame with the names as the index and their mean scores as the values.