You can do something a bit tricky but possibly working.
I made the assumption of a C-ordered 1d vector.
import numpy as np
import numpy.lib.format as fmt
# example of chunks
chunks = [np.arange(l) for l in range(5,10)]
# at the beginning
fp = open('myfile.npy', 'wb')
d = dict(
desc
Hi, again, I can confirm that you have to load multiple times. Also I do not
see differences if using or not the f.seek line
The following snippet gives the expected result. The problem is that that way I
have to load as many times as I wrote. Besides that, it works. Thanks, Juan
#---
Hi, thanks for all the answers. I am checking how to use pytables now, though I
probably prefer to do it without further dependencies. I tried opening the file
as 'append' and then pickle the array (because looking to the numpy.save it
looked like what they did), but to retrieve the data then I
On Tue, Aug 11, 2009 at 11:05 AM, Robert Kern wrote:
> On Mon, Aug 10, 2009 at 22:29, Juan Fiol wrote:
>> Hi, I am creating numpy arrays in chunks and I want to save the chunks while
>> my program creates them. I tried to use numpy.save but it failed (because it
>> is not intended to append data)
On Mon, Aug 10, 2009 at 22:29, Juan Fiol wrote:
> Hi, I am creating numpy arrays in chunks and I want to save the chunks while
> my program creates them. I tried to use numpy.save but it failed (because it
> is not intended to append data). I'd like to know what is, in your opinion,
> the best w
