ch08/web/index.py

[joechong88]

For some weird reason, I'm not able to get thru in the web page to click and show the page with the chart showing the probabilities. Am getting error IndexError: Out of bound when the function self.smoothed[idx] is being evaluated. I'm dumping the screen of WSGI when it happen along with the variable and line of suspect. Please advise. Thanks.

[romainjouin]

I got throuh the same error.

I guess It is the smooth rendering function which render a 15-long array, instead of a 24-one. We sohuld check somewhere that if there is no value we put a default one on the array.

self.raw_data = [ [{u'total': 1L, u'sent_hour': u'06'}, {u'total': 1L, u'sent_hour':     u'08'}, {u'total': 1L, u'sent_hour': u'09'}, {u'total': 8L, u'sent_hour': u'10'},     {u'total': 6L, u'sent_hour': u'11'}, {u'total': 4L, u'sent_hour': u'13'}, {u'total':     6L, u'sent_hour': u'14'}, {u'total': 1L, u'sent_hour': u'15'}, {u'total': 6L,     u'sent_hour': u'16'}, {u'total': 6L, u'sent_hour': u'17'}, {u'total': 2L,     u'sent_hour': u'19'}, {u'total': 10L, u'sent_hour': u'20'}, {u'total': 1L,     u'sent_hour': u'21'}, {u'total': 2L, u'sent_hour': u'22'}, {u'total': 1L,     u'sent_hour': u'23'}] ]
self.data = [ [ 1  1  1  8  6  4  6  1  6  6  2 10  1  2  1] ]
x =  [ 1  1  1  8  6  4  6  1  6  6  2 10  1  2  1]
s =  [-2 -4 -6  1  1  1  1  8  6  4  6  1  6  6  2 10  1  2  1  1  0  1 -8]
w =  [ 0.08  0.54  1.    0.54  0.08]
y =  [-2.07142857 -3.67857143 -3.4375     -0.86607143  0.75        1.25
  2.86607143  5.4375      5.82142857  5.          4.3125      3.69642857
  4.65178571  5.          5.          5.47321429  3.44642857  1.76785714
  1.20535714  0.79464286  0.23214286 -1.44642857 -3.33035714]
self.smoothed =  [ 0.75        1.25        2.86607143  5.4375      5.82142857  5.              4.3125
  3.69642857  4.65178571  5.          5.          5.47321429  3.44642857
  1.76785714  1.20535714]
hours =  ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11',     '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']
idx =  0
val =  00
idx =  1
val =  01
idx =  2
val =  02
idx =  3
val =  03
idx =  4
val =  04
idx =  5
val =  05
idx =  6
val =  06
idx =  7
val =  07
idx =  8
val =  08
idx =  9
val =  09
idx =  10
val =  10
idx =  11
val =  11
idx =  12
val =  12
idx =  13
val =  13
idx =  14
val =  14
idx =  15
val =  15
127.0.0.1 - - [07/Nov/2014 22:35:02] "GET /email/CAGHwgF7fnbysJQp9q+L6pRwNALHT-    [email protected] HTTP/1.1" 500 -
Traceback (most recent call last):
  File "/Users/romainjouin/Documents/pcm/venv/lib/python2.7/site-packages/flask/app.    py", line 1701, in __call__
    return self.wsgi_app(environ, start_response)
  File "/Users/romainjouin/Documents/pcm/venv/lib/python2.7/site-packages/flask/app.    py", line 1689, in wsgi_app
    response = self.make_response(self.handle_exception(e))
  File "/Users/romainjouin/Documents/pcm/venv/lib/python2.7/site-packages/flask/app.    py", line 1687, in wsgi_app
    response = self.full_dispatch_request()
  File "/Users/romainjouin/Documents/pcm/venv/lib/python2.7/site-packages/flask/app.    py", line 1360, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/Users/romainjouin/Documents/pcm/venv/lib/python2.7/site-packages/flask/app.    py", line 1358, in full_dispatch_request
    rv = self.dispatch_request()
  File "/Users/romainjouin/Documents/pcm/venv/lib/python2.7/site-packages/flask/app.    py", line 1344, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/Users/romainjouin/Documents/pcm/Agile_Data_code/ch08/web/index.py", line 37,     in email
    smoothed_dist = get_smoothed_sent_dist(email['from']['address'])
  File "/Users/romainjouin/Documents/pcm/Agile_Data_code/ch08/web/index.py", line 29,     in get_smoothed_sent_dist
    smoothed_dist = smitty.to_objects()
  File "/Users/romainjouin/Documents/pcm/Agile_Data_code/ch08/web/smoother.py", line     41, in to_objects
    objects.append({"sent_hour": val, "total": round(self.smoothed[idx], 0)})
IndexError: index 15 is out of bounds for axis 0 with size 15

changing the to_array function made the trick : we begin with a 24 zero-valuated numpy array, and we put the founds totals in the correct hours :

def to_array(self, in_data, data_key):
    data_array = np.zeros(24)
    for datum in in_data:
       total                             = datum[data_key]
       sent_hour                    = int(datum["sent_hour"])
       data_array[sent_hour] =  total
return data_array