From the DataFrames created in previous question, write code to add an empty column 'x' to all DataFrames.

What will be the output of the following program ?

import pandas as pd
dic = {'Name' : ['Sapna', 'Anmol', 'Rishul', 'Sameep'], 'Agg' : [56, 67, 75, 76], 'Age' : [16, 18, 16, 19]}
df = pd.DataFrame(dic, columns = ['Name', 'Age'])
print(df)

(a)

    Name   Agg Age
101 Sapna  56  16
102 Anmol  67  18
103 Rishul 75  16
104 Sameep 76  19

(b)

    Name   Agg   Age
0   Sapna  56    16
1   Anmol  67    18
2   Rishul  75   16
3   Sameep  76   19

(c)

    Name 
0   Sapna 
1   Anmol 
2   Rishul
3   Sameep 

(d)

    Name   Age
0   Sapna  16
1   Anmol  18
2   Rishul  16
3   Sameep  19

Consider the same dictionary my_di in the previous question (shown below), what will be the output produced by following code ?

my_di = {"name" : ["Jiya", "Tim", "Rohan"],
         "age" : np.array([10, 15, 20]),
         "weight" : (75, 123, 239),
         "height" : [4.5, 5, 6.1],
         "siblings" : 1,
         "gender" : "M"}

df2 = pd.DataFrame(my_di, index = my_di["name"])
print(df2)

Assume that required libraries (panda and numpy) are imported and dataframe df2 has been created as per questions 17 and 18 above. Predict the output of following code fragment :

print(df2["weight"])
print(df2.weight['Tim'])