Identify the correct statement :

1. The standard marker for missing data in Pandas is NaN.
2. Series act in a way similar to that of an array
3. Both (a) and (b)
4. None of the above

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 row 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]])