pandas.Series in Python

import pandas as pd

names = ['USA', 'Canada', 'UK']
years = [1992,1834,1999]
names_with_years = pd.Series(data = years, index = names)

print(names_with_years['USA'])
print(names_with_years['Canada'])
print(names_with_years['UK'])
print(names_with_years[0])
print(names_with_years[1])
print(names_with_years[2])

my_dict = {'cat':20, 'dog':10, 'lion':3}
print(pd.Series(my_dict))
print(names_with_years.keys())

names1 = ['Bulgaria', 'Canada', 'UK']
years1 = [2003,2005,2003]
names1_with_years = pd.Series(data = years1, index = names1)

print(names1_with_years.add(names1_with_years, fill_value = 0))