14. Vectorized Operations and Series Indexes

import pandas as pd

# Change False to True for each block of code to see what it does

# Addition when indexes are the same
if False:
    s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
    s2 = pd.Series([10, 20, 30, 40], index=['a', 'b', 'c', 'd'])
    print s1 + s2

# Indexes have same elements in a different order
if False:
    s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
    s2 = pd.Series([10, 20, 30, 40], index=['b', 'd', 'a', 'c'])
    print s1 + s2

# Indexes overlap, but do not have exactly the same elements
if False:
    s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
    s2 = pd.Series([10, 20, 30, 40], index=['c', 'd', 'e', 'f'])
    print s1 + s2

# Indexes do not overlap
if False:
    s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
    s2 = pd.Series([10, 20, 30, 40], index=['e', 'f', 'g', 'h'])
    print s1 + s2