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Jupyter notebook box plot test.ipynb
Project: ETC
Path: box plot test.ipynb
Views: 65Kernel: Python 2
In [1]:
import seaborn
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%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")
Out[9]:
<matplotlib.axes.AxesSubplot at 0x7fc2795c3f50>
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