Its time for another sprint review!

Lets start with Story 11 shall we?



In [1]:

    
import makeProfile

The first task was to "Use frequently visited locations to create a profile of times and locations."



In [2]:

    
makeProfile.make()

I did this by using the daily summaries generated in Story 21



In [3]:

    
print((open("profile.txt").read()))









    



Average walking time over 2 days
0,11,28

Locations:
15:17	1899-1949 Sagamore Pkwy S, Lafayette, IN 47905, USA
15:34	625-627 N University St, West Lafayette, IN 47907, USA

Ah a nice, user friendly analysis of the days.

Make part 2

On to Story 21!



In [4]:

    
import makeDailySummary

Now for the fun part! Waiting on the EHABD algorithm to finish.



In [5]:

    
makeDailySummary.make()



In [7]:

    
print((open("./DailySummaries/dailySummary_12_1_2017.txt").read())) #change for the day









    



Walking Time for the day
0 hours 0 minutes 0 seconds

Driving Time for the day
0 hours 0 minutes 0 seconds

Frequented locations:

Do the rest **



In [ ]: