Write the code to create the series ‘serObj’ and answer the questions that follow.

import pandas as pd

# create the series
serObj = pd.Series([31, 28, 31, 30], index=['Jan', 'Feb', 'Mar', 'Apr'])
print("Initial series:")
print(serObj)

# i) add one row: 'May' -> 31
serObj['May'] = 31

# ii) update Feb to 29
serObj['Feb'] = 29

# iii) change index to 1,2,3,4,5 in place
serObj.index = [1, 2, 3, 4, 5]

# iv) print a month name having number of days less than 31
# (we'll find all months with days < 31 and show their original names)
# Because we replaced the index with numbers, we'll keep a mapping:
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May']
mask = serObj < 31
months_with_less_than_31 = [months[i] for i, m in enumerate(mask) if m]
print("Months with days < 31:", months_with_less_than_31)

# v) outputs:
print("serObj < 30 ->")
print(serObj < 30)

print("serObj + 3 ->")
print(serObj + 3)