October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How to do it...
- Read in the college dataset; the columns that begin with UGDS_ represent the percentage of the undergraduate students of a particular race. Use the filter method to select these columns:
>>> college = pd.read_csv('data/college.csv', index_col='INSTNM')>>> college_ugds_ = college.filter(like='UGDS_')>>> college_ugds_.head()
- Now that the DataFrame contains homogenous column data, operations can be sensibly done both vertically and horizontally. The count method returns the number of non-missing values. By default, its axis parameter is set to 0:
>>> college_ugds_.count()UGDS_WHITE 6874 UGDS_BLACK 6874 UGDS_HISP 6874 UGDS_ASIAN ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.