from datetime import datetime
from pandas import DataFrame, Series
from pandas import DatetimeIndex

s = Series([1.0,2.0,3.0,4.0], index=['a', 'b', 'c', 'd'])
s.mean()

import random
# create some data
data = [random.randint(0,10000) for x in xrange(10000)]
# create a datetime index, provide start, frequency
index = DatetimeIndex(start='01-01-2013', periods=len(data), freq='T')
s = Series(data, index=index)

s_daily  = s.resample('D', how='sum')
s_daily

data1 = [random.randint(0,10) for x in xrange(10)]
data2 = [random.randint(11,10000) for x in xrange(10)]

df = DataFrame({'data1': data1, 'data2': data2})
df['sum'] = df['data1'] + df['data2']
df

# setup
import vincent
from vincent.ipynb import init_d3, init_vg, display_vega
init_d3()
init_vg()

vis = vincent.Bar()
vis.tabular_data((('A', 28), ('B', 55), ('C', 43), ('D', 91), ('E', 81), 
                  ('F', 53), ('G', 19), ('H', 87), ('I', 52)))
display_vega(vis)