Thanks Mathieu!
I am glad this is working for you now. File this one under "Mysterious
Errors of the Universe" :).
Be Well
Anthony
On Fri, Jul 5, 2013 at 6:51 PM, Mathieu Dubois
<duboismathieu_g...@yahoo.fr>wrote:
> Hi,
>
> Sorry for the late response.
>
> First of all, I have managed to achieve what I wanted to do differently.
>
> Then the code Francesc send works well (I had to adapt it because I use
> version 2.3.1 under Ubuntu 12.04).
>
> I was able to reproduce something similar with a class like this (copied &
> pasted from the tutorial):
>
> import tables as tb
>
> import numpy as np
>
> class Subject(tb.IsDescription):
>
> # Subject information
>
> Id = tb.UInt16Col()
>
> Image = tb.Float32Col(shape=(121, 145, 121))
>
> h5file = tb.openFile("tutorial1.h5", mode = "w", title = "Test file")
>
> group = h5file.createGroup("/", 'subject', 'Suject information')
>
> table = h5file.createTable(group, 'readout', Subject, "Readout example")
>
> subject = table.row
>
> for i in xrange(10):
>
> subject['Id'] = i
>
> subject['Image'] = np.ones((121, 145, 121))
>
> subject.append()
>
> This code works well too.
>
> So I don't really know why nothing was working yesterday: this was the
> same class and a very close program. I will try to investigate later on
> this.
>
> Thanks for everything,
> Mahtieu
>
> Le 05/07/2013 16:54, Anthony Scopatz a écrit :
>
>
>
>
> On Fri, Jul 5, 2013 at 8:40 AM, Francesc Alted <fal...@gmail.com> wrote:
>
>> On 7/5/13 1:33 AM, Mathieu Dubois wrote:
>> > tables.tableExtension.Table._createTable (tables/tableExtension.c:2181)
>> >>
>> >> tables.exceptions.HDF5ExtError: Problems creating the table
>> >>
>> >> I think that the size of the column is too large (if I remove the
>> >> Image
>> >> field, everything works perfectly).
>> >>
>> >>
>> >> Hi Mathieu,
>> >>
>> >> This shouldn't be the case. What is the value of IMAGE_SIZE?
>> >
>> > IMAGE_SIZE is a tuple containing (121, 145, 121).
>>
>> This is a bit large for a row in the Table object. My recommendation
>> for these cases is to use an associated EArray with shape (0, 121, 145,
>> 121) and then append the images there. You can always refer to the
>> image by issuing a __getitem__() operation on the EArray object with the
>> index of the row in the table. Easy as a pie and you will allow the
>> compression library (in case you are using compression) to work much
>> more efficiently for the table.
>>
>
>
> Hi Francesc,
>
> I disagree that this shape is too large for a table. Here is a minimal
> example that works for me:
>
> import tables as tb
> import numpy as np
>
> images = np.ones(100, dtype=[('id', np.uint16),
> ('image', np.float32, (121, 145, 121))
> ])
>
> with tb.open_file('temp.h5', 'w') as f:
> f.create_table('/', 'images', images)
>
> I think that there is something else going on with the initialization
> but Mathieu hasn't given us enough information to figure it out =/. A
> minimal failing script would be super helpful here!
>
> (BTW Mathieu, Tables can also take advantage of compression. Though
> Francesc's solution is nicer for a lot of reason too.)
>
> Be Well
> Anthony
>
>
>>
>> HTH,
>>
>> -- Francesc Alted
>>
>>
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