August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Data operations
Once the missing data is handled, various operations can be performed on the data.
Aggregation operations
There are a number of aggregation operations, such as average, sum, and so on, which you would like to perform on a numerical field. These are the methods used to perform it:
- Average: To find out the average number of students in the
ELEMENTARYschool who are obese, we'll first filter theELEMENTARYdata with the following command:>>> data = d[d['GRADE LEVEL'] == 'ELEMENTARY'] 213.41593780369291
Now, we'll find the mean using the following command:
>>> data['NO. OBESE'].mean()The elementary grade level data is filtered and stored in the data object. The
NO. OBESEcolumn is selected, which contains the number of obese students ...
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