On 1 Jan 2014 13:57, "Bart Baker" wrote:
>
> Hello,
>
> I'm having issues with performing operations on an array in C and
> passing it back to Python. The array values seem to become unitialized
> upon being passed back to Python. My first attempt involved initializing
> the array in C as so:
>
>
Hello,
I'm having issues with performing operations on an array in C and
passing it back to Python. The array values seem to become unitialized
upon being passed back to Python. My first attempt involved initializing
the array in C as so:
double a_fin[max_mth];
where max_mth is an int. I fill in
On 01.01.2014 16:50, Amira Chekir wrote:
> On 31.12.2013 14:13, Amira Chekir wrote:
>> > Hello together,
>> >
>> > I try to load a (large) NIfTI file (DMRI from Human Connectome Project,
>> > about 1 GB) with NiBabel.
>> >
>> > import nibabel as nib
>> > img = nib.load("dmri.nii.gz")
>> > data = i
can be highly annoying. If you're a user who
> > > uses this functionality regularly (and you know what you're doing),
> then
> > > you're going to be very unhappy to have to wrap each function call in:
> > > olderr = np.seterr(all='ignore')
&
Hi,
Thanks for your answer.
I use ubuntu 12.04 32 bits and python 2.7
I upgrade numpy to 1.8, but the error persists
I think that the problem is in gzip.py :
max_read_chunk = 10 * 1024 * 1024 # 10Mb
What do you think?
Best regards,
AMIRA
2013/12/31
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