Create an array of the time, in seconds, since the start of the month at which each hourly reading was taken

Question

I am running the following code and I am getting a 66.7% score, which means there is something wrong with it. Running the len gives 744 elements (31x24), so that part of the question has been looked at already. I don't think I have the stop and step parts of the method wrong.

The first reading was taken at the first instant of December 2015 (midnight on December 1st) and each subsequent reading was taken exactly 1 hour after the last.

Question 1.1.5. Create an array of the time, in seconds, since the start of the month at which each hourly reading was taken. Name it collection_times.

Hint 1: There were 31 days in December, which is equivalent to ( 31×24 ) hours or ( 31×24×60×60 ) seconds. So your array should have 31×24 elements in it.

Hint 2: The len function works on arrays, too. If your collection_times isn't passing the tests, check its length and make sure it has 31×24 elements.

import numpy as np

collection_times = np.arange(0,44640,60)
collection_times
len(collection_times)

array([    0,    60,   120,   180,   240,   300,   360,   420,   480,
     540,   600,   660,   720,   780,   840,   900,   960,  1020,
    1080,  1140,  1200,  1260,  1320,  1380,  1440,  1500,  1560,
    1620,  1680,  1740,  1800,  1860,  1920,  1980,  2040,  2100,
    2160,  2220,  2280,  2340,  2400,  2460,  2520,  2580,  2640,
    2700,  2760,  2820,  2880,  2940,  3000,  3060,  3120,  3180,
    3240,  3300,  3360,  3420,  3480,  3540,  3600,  3660,  3720,
    3780,  3840,  3900,  3960,  4020,  4080,  4140,  4200,  4260,
    4320,  4380,  4440,  4500,  4560,  4620,  4680,  4740,  4800,
    4860,  4920,  4980,  5040,  5100,  5160,  5220,  5280,  5340,
    5400,  5460,  5520,  5580,  5640,  5700,  5760,  5820,  5880,
    5940,  6000,  6060,  6120,  6180,  6240,  6300,  6360,  6420,
    6480,  6540,  6600,  6660,  6720,  6780,  6840,  6900,  6960,
    7020,  7080,  7140,  7200,  7260,  7320,  7380,  7440,  7500,
    7560,  7620,  7680,  7740,  7800,  7860,  7920,  7980,  8040,
    8100,  8160,  8220,  8280,  8340,  8400,  8460,  8520,  8580,
    8640,  8700,  8760,  8820,  8880,  8940,  9000,  9060,  9120,
    9180,  9240,  9300,  9360,  9420,  9480,  9540,  9600,  9660,
    9720,  9780,  9840,  9900,  9960, 10020, 10080, 10140, 10200,
   10260, 10320, 10380, 10440, 10500, 10560, 10620, 10680, 10740,
   10800, 10860, 10920, 10980, 11040, 11100, 11160, 11220, 11280,
   11340, 11400, 11460, 11520, 11580, 11640, 11700, 11760, 11820,
   11880, 11940, 12000, 12060, 12120, 12180, 12240, 12300, 12360,
   12420, 12480, 12540, 12600, 12660, 12720, 12780, 12840, 12900,
   12960, 13020, 13080, 13140, 13200, 13260, 13320, 13380, 13440,
   13500, 13560, 13620, 13680, 13740, 13800, 13860, 13920, 13980,
   14040, 14100, 14160, 14220, 14280, 14340, 14400, 14460, 14520,
   14580, 14640, 14700, 14760, 14820, 14880, 14940, 15000, 15060,
   15120, 15180, 15240, 15300, 15360, 15420, 15480, 15540, 15600,
   15660, 15720, 15780, 15840, 15900, 15960, 16020, 16080, 16140,
   16200, 16260, 16320, 16380, 16440, 16500, 16560, 16620, 16680,
   16740, 16800, 16860, 16920, 16980, 17040, 17100, 17160, 17220,
   17280, 17340, 17400, 17460, 17520, 17580, 17640, 17700, 17760,
   17820, 17880, 17940, 18000, 18060, 18120, 18180, 18240, 18300,
   18360, 18420, 18480, 18540, 18600, 18660, 18720, 18780, 18840,
   18900, 18960, 19020, 19080, 19140, 19200, 19260, 19320, 19380,
   19440, 19500, 19560, 19620, 19680, 19740, 19800, 19860, 19920,
   19980, 20040, 20100, 20160, 20220, 20280, 20340, 20400, 20460,
   20520, 20580, 20640, 20700, 20760, 20820, 20880, 20940, 21000,
   21060, 21120, 21180, 21240, 21300, 21360, 21420, 21480, 21540,
   21600, 21660, 21720, 21780, 21840, 21900, 21960, 22020, 22080,
   22140, 22200, 22260, 22320, 22380, 22440, 22500, 22560, 22620,
   22680, 22740, 22800, 22860, 22920, 22980, 23040, 23100, 23160,
   23220, 23280, 23340, 23400, 23460, 23520, 23580, 23640, 23700,
   23760, 23820, 23880, 23940, 24000, 24060, 24120, 24180, 24240,
   24300, 24360, 24420, 24480, 24540, 24600, 24660, 24720, 24780,
   24840, 24900, 24960, 25020, 25080, 25140, 25200, 25260, 25320,
   25380, 25440, 25500, 25560, 25620, 25680, 25740, 25800, 25860,
   25920, 25980, 26040, 26100, 26160, 26220, 26280, 26340, 26400,
   26460, 26520, 26580, 26640, 26700, 26760, 26820, 26880, 26940,
   27000, 27060, 27120, 27180, 27240, 27300, 27360, 27420, 27480,
   27540, 27600, 27660, 27720, 27780, 27840, 27900, 27960, 28020,
   28080, 28140, 28200, 28260, 28320, 28380, 28440, 28500, 28560,
   28620, 28680, 28740, 28800, 28860, 28920, 28980, 29040, 29100,
   29160, 29220, 29280, 29340, 29400, 29460, 29520, 29580, 29640,
   29700, 29760, 29820, 29880, 29940, 30000, 30060, 30120, 30180,
   30240, 30300, 30360, 30420, 30480, 30540, 30600, 30660, 30720,
   30780, 30840, 30900, 30960, 31020, 31080, 31140, 31200, 31260,
   31320, 31380, 31440, 31500, 31560, 31620, 31680, 31740, 31800,
   31860, 31920, 31980, 32040, 32100, 32160, 32220, 32280, 32340,
   32400, 32460, 32520, 32580, 32640, 32700, 32760, 32820, 32880,
   32940, 33000, 33060, 33120, 33180, 33240, 33300, 33360, 33420,
   33480, 33540, 33600, 33660, 33720, 33780, 33840, 33900, 33960,
   34020, 34080, 34140, 34200, 34260, 34320, 34380, 34440, 34500,
   34560, 34620, 34680, 34740, 34800, 34860, 34920, 34980, 35040,
   35100, 35160, 35220, 35280, 35340, 35400, 35460, 35520, 35580,
   35640, 35700, 35760, 35820, 35880, 35940, 36000, 36060, 36120,
   36180, 36240, 36300, 36360, 36420, 36480, 36540, 36600, 36660,
   36720, 36780, 36840, 36900, 36960, 37020, 37080, 37140, 37200,
   37260, 37320, 37380, 37440, 37500, 37560, 37620, 37680, 37740,
   37800, 37860, 37920, 37980, 38040, 38100, 38160, 38220, 38280,
   38340, 38400, 38460, 38520, 38580, 38640, 38700, 38760, 38820,
   38880, 38940, 39000, 39060, 39120, 39180, 39240, 39300, 39360,
   39420, 39480, 39540, 39600, 39660, 39720, 39780, 39840, 39900,
   39960, 40020, 40080, 40140, 40200, 40260, 40320, 40380, 40440,
   40500, 40560, 40620, 40680, 40740, 40800, 40860, 40920, 40980,
   41040, 41100, 41160, 41220, 41280, 41340, 41400, 41460, 41520,
   41580, 41640, 41700, 41760, 41820, 41880, 41940, 42000, 42060,
   42120, 42180, 42240, 42300, 42360, 42420, 42480, 42540, 42600,
   42660, 42720, 42780, 42840, 42900, 42960, 43020, 43080, 43140,
   43200, 43260, 43320, 43380, 43440, 43500, 43560, 43620, 43680,
   43740, 43800, 43860, 43920, 43980, 44040, 44100, 44160, 44220,
   44280, 44340, 44400, 44460, 44520, 44580])

744

Answer 1

The question is asking for hourly readings, rather that taking readings every minute. It should work if you change your code to:

collection_times = np.arange(0,44640,3600)`