Filling Missing Values

Question:

Start Quiz:

import pandas as pd

s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
s2 = pd.Series([10, 20, 30, 40], index=['c', 'd', 'e', 'f'])

# Try to write code that will add the 2 previous series together,
# but treating missing values from either series as 0. The result
# when printed out should be similar to the following line:
# print pd.Series([1, 2, 13, 24, 30, 40], index=['a', 'b', 'c', 'd', 'e', 'f'])

Solution:

INSTRUCTOR NOTE:

Remember that Jupyter notebooks will just print out the results of the last expression run in a code cell as though a print expression was run. If you want to save the results of your operations for later, remember to assign the results to a variable or, for some Pandas functions like .dropna(), use inplace = True to modify the starting object without needing to reassign it.