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import seaborn
In [9]:
%matplotlib inline
import seaborn as sns
import pandas as pd
data = pd.DataFrame([['ENSP 438', 0, '2014-02-02'],
['ENSP 438', 1, '2014-02-04'],
['ENSP 438', 2, '2014-02-09'],
['ENSP 438', 0, '2014-02-11'],
['ENSP 438', 7, '2014-02-16'],
['ENSP 438', 4, '2014-02-18'],
['ENSP 438', 3, '2014-02-23'],
['ENSP 438', 1, '2014-02-25'],
['ENSP 322', 11, '2014-02-03'],
['ENSP 322', 11, '2014-02-05'],
['ENSP 322', 8, '2014-02-10'],
['ENSP 322', 12, '2014-02-12'],
['ENSP 322', 17, '2014-02-17'],
['ENSP 322', 13, '2014-02-19'],
['ENSP 322', 17, '2014-02-24'],
['ENSP 322', 21, '2014-02-26'],
['ENSP 430', -5, '2014-02-05'],
['ENSP 430', -6, '2014-02-12'],
['ENSP 430', -8, '2014-02-19'],
['ENSP 430', -7, '2014-02-26'],
['ENSP 202', 3, '2014-02-02'],
['ENSP 202', 2, '2014-02-04'],
['ENSP 202', 6, '2014-02-09'],
['ENSP 202', 4, '2014-02-11'],
['ENSP 202', -4, '2014-02-16'],
['ENSP 202', 3, '2014-02-18'],
['ENSP 202', 11, '2014-02-23'],
['ENSP 202', 5, '2014-02-25'],
['ENSP 418', 7, '2014-02-02'],
['ENSP 418', 6, '2014-02-04'],
['ENSP 418', 7, '2014-02-09'],
['ENSP 418', 10, '2014-02-11'],
['ENSP 418', -2, '2014-02-16'],
['ENSP 418', 10, '2014-02-18'],
['ENSP 418', 5, '2014-02-23'],
['ENSP 418', 6, '2014-02-25'],
['ENSP 302', 4, '2014-02-03'],
['ENSP 302', 10, '2014-02-05'],
['ENSP 302', 11, '2014-02-10'],
['ENSP 302', 7, '2014-02-12'],
['ENSP 302', 15, '2014-02-17'],
['ENSP 302', 9, '2014-02-19'],
['ENSP 302', 10, '2014-02-24'],
['ENSP 302', 0, '2014-02-26'],
['ENSP 303', -1, '2014-02-03'],
['ENSP 303', 2, '2014-02-05'],
['ENSP 303', 1, '2014-02-10'],
['ENSP 303', 3, '2014-02-12'],
['ENSP 303', 4, '2014-02-17'],
['ENSP 303', 3, '2014-02-19'],
['ENSP 303', 13, '2014-02-24'],
['ENSP 303', 6, '2014-02-26']],
columns=['class', 'num_students', 'date'])
sns.violinplot(data['num_students'], groupby=data['class'], inner="points")
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