from __future__ import division
from Annotation import Annotation
from sklearn.neighbors import KernelDensity
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
A = Annotation('data/exportMedium.json')
perUserDurations = A.perUser('duration')
# this should no longer be here when shiped
perUserDurations = dict((u, d) for u, d in perUserDurations.iteritems()
if u != 'chris' and u != 'eugen')
numOfUser = len(perUserDurations)
# Set up the matplotlib figure
bins = np.linspace(0, 300, 60)
f, subs = plt.subplots(numOfUser, figsize=(7, 7),
sharex=True, sharey=True)
s=0
# for user, durations in perUserDurations.iteritems():
