On Mon, Oct 29, 2012 at 1:37 PM, David Warde-Farley
wrote:
> This is something of a hack.
but a cool one...
> Like Pauli said, it's probably worthwhile to consider HDF5.
But HDF5 is a big dependency -- it can be a pain to build. IT's great
for what it does well, and great for interchanging dat
On 29. okt. 2012, at 11:29, Radek Machulka wrote:
> Hi,
>
> is there a way how to save more arrays into single npy (npz if possible) file
> in loop? Something like:
>
> fw = open('foo.bar', 'wb')
> while foo:
> arr = np.array(bar)
> np.savez_compressed(fw, arr)
> fw.close()
>
> O
On Mon, Oct 29, 2012 at 6:29 AM, Radek Machulka
wrote:
> Hi,
>
> is there a way how to save more arrays into single npy (npz if possible) file
> in loop? Something like:
>
> fw = open('foo.bar', 'wb')
> while foo:
> arr = np.array(bar)
> np.savez_compressed(fw, arr)
> fw.close()
>
Radek Machulka gmail.com> writes:
> is there a way how to save more arrays into single npy (npz if possible) file
> in loop? Something like:
>
> fw = open('foo.bar', 'wb')
> while foo:
> arr = np.array(bar)
> np.savez_compressed(fw, arr)
> fw.close()
>
> Or some workaround maybe? I
Hi,
is there a way how to save more arrays into single npy (npz if possible) file
in loop? Something like:
fw = open('foo.bar', 'wb')
while foo:
arr = np.array(bar)
np.savez_compressed(fw, arr)
fw.close()
Or some workaround maybe? I go through hundreds of thousands arrays and ca
