Numerical Computing with Python

How to do it...

1. Read in the college dataset, and find the mean and standard deviation of the undergraduate population by state:

>>> college = pd.read_csv('data/college.csv')>>> college.groupby('STABBR')['UGDS'].agg(['mean', 'std']) \                                     .round(0).head()

2. This output isn't quite what we desire. We are not looking for the mean and standard deviations of the entire group but the maximum number of standard deviations away from the mean for any one institution. In order to calculate this, we need to subtract the mean undergraduate population by state from each institution's undergraduate population and then divide by the standard deviation. This ...