Big Thx for big lesson, is no too "dark" now
Paul

W dniu niedziela, 4 stycznia 2015 17:58:28 UTC+1 użytkownik Adrian 
Cuthbertson napisał:
>
> You can also work directly with the HDF5 file as an array object...
>
> using HDF5
>
> hfi=h5open("myfile.h5","w"); # create the file
> close(hfi)
>
>  A = reshape(1: 120, 15, 8);
>
> hfi = h5open("myfile.h5","r+") # read/write access
>
> hfi["mygroup/A"] = A
> 15x8 Array{Int64,2}:
>   1  16  31  46  61  76   91  106
> ...
>  14  29  44  59  74  89  104  119
>  15  30  45  60  75  90  105  120
>
> data = hfi["mygroup/A"][2:3:15,3:5]
> 5x3 Array{Int64,2}:
>  32  47  62
>  35  50  65
>  38  53  68
>  41  56  71
>  44  59  74
>
>  hfi["mygroup/A"][2:3,3:5]
> 2x3 Array{Int64,2}:
>  32  47  62
>  33  48  63
>
> hfi["mygroup/A"][2:3,3:5]=[-1 -2 -3; -4 -5 -6]
> 2x3 Array{Int64,2}:
>  -1  -2  -3
>  -4  -5  -6
>
> hfi["mygroup/A"][1:5,:]
> 5x8 Array{Int64,2}:
>  1  16  31  46  61  76  91  106
>  2  17  -1  -2  -3  77  92  107
>  3  18  -4  -5  -6  78  93  108
>  4  19  34  49  64  79  94  109
>  5  20  35  50  65  80  95  110
>
> foo = hfi["mygroup/A"]
> HDF5 dataset: /mygroup/A (file: myfile.h5)
>
> foo[1:5,:]
> 5x8 Array{Int64,2}:
>  1  16  31  46  61  76  91  106
>  2  17  -1  -2  -3  77  92  107
>  3  18  -4  -5  -6  78  93  108
>  4  19  34  49  64  79  94  109
>  5  20  35  50  65  80  95  110
>
> close(hfi)
>
> HDF5 is awesome!
>
>
>
>
> On Sun, Jan 4, 2015 at 4:59 PM, paul analyst <[email protected] 
> <javascript:>> wrote:
>
>> Of course, first I read :)
>> Is there about reading range array. I need to save a range of In analogy 
>> to.
>>
>> A = reshape (1: 120, 15, 8)
>> h5write ("/ tmp / test2.h5", "mygroup2 / A", A)
>> data = h5read ("/ tmp / test2.h5", "mygroup2 / A" (2: 3: 15: 3: 5))
>>
>> Paul
>>
>>
>> W dniu niedziela, 4 stycznia 2015 14:14:03 UTC+1 użytkownik Tim Holy 
>> napisał:
>>>
>>> If I understand correctly, then yes, that's possible. See the HDF5 docs. 
>>>
>>> --Tim 
>>>
>>> On Sunday, January 04, 2015 04:25:13 AM paul analyst wrote: 
>>> > How to overwrite to an existing file, only range of data? 
>>> > In HDF5 can do this? 
>>> > I have an array of zeros 10 x 10 
>>> > I need an existing file owerwrite range rand (5x5), for example. 
>>> > Existingfile [2: 7.3: 8] 
>>> > Paul 
>>>
>>>
>

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