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
],
[0, 1],
[0, 0]])
R.
2010/9/10, Pauli Virtanen :
> Fri, 10 Sep 2010 11:46:47 +0200, Radek Machulka wrote:
>> I have array (numpy.ndarray object) with non-zero elements cumulated
>> 'somewhere' (like a array([[0,0,0,0],[0,1,1,0],[0,0,1,0],[0,0,0,0]]))
>
Hi Folks,
I have array (numpy.ndarray object) with non-zero elements cumulated
'somewhere' (like a array([[0,0,0,0],[0,1,1,0],[0,0,1,0],[0,0,0,0]]))
and I need sub-array with just non-zero elements
(array([[1,1],[0,1]])).
I can do this with iterating throught an array, but I also found some
magic
