In [29]:

    

from IPython.display import Image


    

In [31]:

    

Image('http://i.imgur.com/SYija2N.png')


    

    
Out[31]:

In [12]:

    

import mailbox
from email.utils import parsedate
from dateutil.parser import parse
import itertools
import plotly.plotly as py
from plotly.graph_objs import *


    

In [13]:

    

path = '/Users/jack/Desktop/All mail Including Spam and Trash.mbox'


    

In [22]:

    

mbox = mailbox.mbox(path)


    

In [23]:

    

def extract_date(email):
    date = email.get('Date')
    return parsedate(date)

sorted_mails = sorted(mbox, key=extract_date)
mbox.update(enumerate(sorted_mails))
mbox.flush()


    

In [24]:

    

all_dates = []
mbox = mailbox.mbox(path)
for message in mbox:
    all_dates.append( str( parse( message['date'] ) ).split(' ')[0] )


    

In [25]:

    

email_count = [(g[0], len(list(g[1]))) for g in itertools.groupby(all_dates)]


    

In [26]:

    

email_count[0]


    

    
Out[26]:





('2013-11-05', 1)

In [27]:

    

x = []
y = []
for date, count in email_count:
    x.append(date)
    y.append(count)


    

In [28]:

    

py.iplot( Data([ Scatter( x=x, y=y ) ]) )


    

    
Out[28]:

In [10]:

    

import plotly.tools as tls
tls.embed('https://plot.ly/~jackp/3266')


    

    
Out[10]:

In [11]:

    

from IPython.core.display import HTML
import urllib2
HTML(urllib2.urlopen('http://bit.ly/1Bf5Hft').read())


    

    
Out[11]: