December 2018
Beginner to intermediate
682 pages
18h 1m
English
Content preview from Numerical Computing with Python
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How to do it...
- Read in the three baseball datasets and set the index as playerID:
>>> baseball_14 = pd.read_csv('data/baseball14.csv', index_col='playerID')>>> baseball_15 = pd.read_csv('data/baseball15.csv', index_col='playerID')>>> baseball_16 = pd.read_csv('data/baseball16.csv', index_col='playerID')>>> baseball_14.head()
- Use the index method difference to discover which index labels are in baseball_14 and not in baseball_15, and vice versa:
>>> baseball_14.index.difference(baseball_15.index)Index(['corpoca01', 'dominma01', 'fowlede01', 'grossro01', 'guzmaje01', 'hoeslj01', 'krausma01', 'preslal01', 'singljo02'], dtype='object', name='playerID') ...