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...
- Let's get started by grouping the state and religious affiliation columns from the college dataset, saving the result to a variable and confirming its type:
>>> college = pd.read_csv('data/college.csv')>>> grouped = college.groupby(['STABBR', 'RELAFFIL'])>>> type(grouped)pandas.core.groupby.DataFrameGroupBy
- Use the dir function to discover all its available functionality:
>>> print([attr for attr in dir(grouped) if not attr.startswith('_')])['CITY', 'CURROPER', 'DISTANCEONLY', 'GRAD_DEBT_MDN_SUPP', 'HBCU', 'INSTNM', 'MD_EARN_WNE_P10', 'MENONLY', 'PCTFLOAN', 'PCTPELL', 'PPTUG_EF', 'RELAFFIL', 'SATMTMID', 'SATVRMID', 'STABBR', 'UG25ABV', 'UGDS', 'UGDS_2MOR', 'UGDS_AIAN', 'UGDS_ASIAN', 'UGDS_BLACK', 'UGDS_HISP', 'UGDS_NHPI', ...