Numerical Computing with Python

How to do it...

1. Read in the 2016 and 2017 stock datasets, and make their ticker symbol the index:

>>> stocks_2016 = pd.read_csv('data/stocks_2016.csv',                               index_col='Symbol')>>> stocks_2017 = pd.read_csv('data/stocks_2017.csv',                              index_col='Symbol')

    

2. Place all the stock datasets into a single list, and then call the concat function to concatenate them together:

>>> s_list = [stocks_2016, stocks_2017]>>> pd.concat(s_list)

3. By default, the ...