Medium - Get started analysing your CGM data

violin-plt-2.py

z = df.copy(deep=True)
z = z.join(pd.get_dummies(z['Status']), how='left')

day_map = ['Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun']
z['weekday'] = z.index.weekday
z = z[['weekday', 'glucose']]
z = z.resample('D').mean()
z['chunk'] = 'Second'
z['chunk'].iloc[:(z.shape[0]//2)] = 'First'
z.sort_values(['weekday', 'chunk'], inplace=True)
z.dropna(inplace=True)
z['weekday'] = z['weekday'].apply(lambda x: day_map[int(x)])

_ = plt.figure(figsize=(16, 6))
ax = sns.violinplot(
  data=z, x="weekday", y="glucose", hue='chunk', split=True,
  palette="Set2", inner='quartile')