Jamie Mitchell wrote:
> I created the 2D array which read as:
That's not a 2D array.
When the amount of data you have is too big to clearly see what it
happening, replace it with something smaller. Instead of 30 items per
sub-array, try it with 5 items per sub-array. Instead of eight decimal
places, try it with single-digit integers. Anything to make it small enough
to see clearly.
When I do that with your data, instead of this:
> array([[[ 2.08800006, 2.29400015, 2.00400019, 1.88000011, 2.0480001 ,
> 2.16800022, 2.0480001 , 1.88200009, 1.95800006, 2.00200009,
> 2.02800012, 1.81200004, 1.95000005, 1.96200013, 1.95200014,
> 1.99800014, 2.07000017, 1.88200009, 1.98400009, 2.13400006,
> 2.11400008, 1.89400005, 2.05000019, 2.01999998, 2.03400016,
> 2.16600013, 2.00999999, 1.86200011, 2.19800019,
> 2.01200008]],
>
> [[ 8.5199995 , 8.88000011, 8.55000019, 7.94999981, 8.60999966,
> 8.5199995 , 8.80000019, 8.13000011, 8.68999958, 8.72999954,
> 8.47999954, 8.25 , 8.40999985, 8.43999958, 8.38999939,
> 8.35999966, 8.63999939, 8.51000023, 8.36999989, 8.69999981,
> 8.52999973, 8.13999939, 8.36999989, 8.42000008, 8.55999947,
> 8.72999954, 9.09000015, 8.18999958, 8.76000023,
> 8.53999996]]], dtype=float32)
I get this:
array([[[ 2, 2, 2, 1, 2]],
[[ 8, 8, 8, 7, 8]]], dtype=float32)
which is much easier to work with. See the difference between that smaller
example, and my earlier explanation of the difference between a 1D and 2D
array?
One dimensional arrays are made from a single list of numbers: [...]
Two dimensional arrays are made from a list of lists: [ [...], [...] ]
*Three* dimensional arrays are made from a list of lists of lists:
[ [ [...], [...] ] ]
*Four* dimensional arrays are made from a list of lists of lists of lists:
[ [ [ [...], [...] ] ] ]
and so on. You have a 3D array, with dimensions 2 x 1 x 30.
You can check the dimensions by storing the array into a variable like this:
py> a = numpy.array([[[ 2, 2, 2, 1, 2]], [[ 8, 8, 8, 7, 8]]])
py> a.shape
(2, 1, 5)
--
Steven
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