Assume that required libraries (Pandas and Numpy) are imported and DataFrame ndf has been created as shown in solved problem 16. Predict the output produced by following code fragment :

print(ndf[ndf["age"] > 30])
print(ndf.head(2)) 
print(ndf.tail(3))

The following DataFrame ndf is from solved problem 16 :

       Name Sex    Position       City  age  Projects  Budget
0    Rabina   F     Manager  Bangalore   30        13      48
1      Evan   M   Programer  New Delhi   27        17      13
2       Jia   F     Manager    Chennai   32        16      32
3     Lalit   M     Manager     Mumbai   40        20      21
4  Jaspreet   M  Programmer    Chennai   28        21      17
5      Suji   F  Programmer  Bangalore   32        14      10

    Name Sex    Position       City  age  Projects  Budget
2    Jia   F     Manager    Chennai   32        16      32
3  Lalit   M     Manager     Mumbai   40        20      21
5   Suji   F  Programmer  Bangalore   32        14      10
     Name Sex   Position       City  age  Projects  Budget
0  Rabina   F    Manager  Bangalore   30        13      48
1    Evan   M  Programer  New Delhi   27        17      13
       Name Sex    Position       City  age  Projects  Budget
3     Lalit   M     Manager     Mumbai   40        20      21
4  Jaspreet   M  Programmer    Chennai   28        21      17
5      Suji   F  Programmer  Bangalore   32        14      10

Working

1. print(ndf[ndf["age"] > 30]) — The ndf["age"] > 30 creates a boolean mask where True indicates rows where the "age" column has values greater than 30. Then ndf[...] uses this boolean mask to filter the DataFrame ndf, returning only rows where the condition is True.

2. print(ndf.head(2)) — It prints the first 2 rows of the DataFrame ndf.

3. print(ndf.tail(3)) — It prints the last 3 rows of the DataFrame ndf.