> Date: Wed, 28 Oct 2009 20:31:43 +0100
> From: Peter Schmidtke
> Subject: [Numpy-discussion] reading gzip compressed files using
> numpy.fromfile
> To: numpy-discussion@scipy.org
> Message-ID:
> Content-Type: text/plain; charset="UTF-8"
>
> Dear Nump
Robert Kern wrote:
>>f=gzip.open( "myfile.gz", "r" )
>> xyz=npy.fromfile(f,dtype="float32",count=400)
> Read in reasonably-sized chunks of bytes at a time, and use
> np.fromstring() to create arrays from them.
Something like:
count = 400
xyz = np.fromstring(f.read(count*4), dtype=np.floa
On Wed, Oct 28, 2009 at 14:31, Peter Schmidtke wrote:
> Dear Numpy Mailing List Readers,
>
> I have a quite simple problem, for what I did not find a solution for now.
> I have a gzipped file lying around that has some numbers stored in it and I
> want to read them into a numpy array as fast as po
Dear Numpy Mailing List Readers,
I have a quite simple problem, for what I did not find a solution for now.
I have a gzipped file lying around that has some numbers stored in it and I
want to read them into a numpy array as fast as possible but only a bunch
of data at a time.
So I would like to
