Identify the correct option to select first four rows and second to fourth columns from a DataFrame 'Data':

1. display(Data.iloc[1 : 4, 2 : 4])
2. display(Data.iloc[1 : 5, 2 ; 5])
3. print(Data.iloc[0 : 4, 1 : 4])
4. print(Data.iloc[1 : 4, 2 : 4])

To delete a column from a DataFrame, you may use …………… statement.

1. remove
2. del
3. drop
4. cancel

Sudhanshu has written the following code to create a DataFrame with boolean index :

import numpy as np
import pandas as pd
    df = pd.DataFrame(data = [[5, 6, 7]], index = [true, false, true]) 
    print(df)

While executing the code, she is getting an error, help her to rectify the code :

1. df = pd.DataFrame([True, False, True], data = [5, 6, 7])
2. df = pd.DataFrame(data = [5, 6, 7], index = [True, False, True])
3. df = pd.DataFrame([true, false, true], data = [5, 6, 7])
4. df = pd.DataFrame(index = [true, false, true], data = [[5, 6, 7]])