* This may be a dupe as gmail hotkeys sent a draft prematurely...
After scouring material and books I remain stumped with this one as a
new Numpy user-
I have an ND array with shape (10,15) and want to slice or subset(?) the data
into a new 2D array with the following criteria:
1) Separate each 5 observations along axis=0 (row) and transpose them to
the new array with shape (50,3)
Col1 Co2 Col3
Slice1 Slice2 Slice3
...
...
...
Slice1 should have the coordinates[0:5,0], Slice2[0:5,1] and so
on...I've tried initializing the target ND array with
D = NP.zeros((50,3), dtype='int') and then assigning into it with
something like:
for s in xrange(original_array.shape[0]):
D= NP.transpose([data[s,i:i+step] for i in range(0,data.shape[1],
step)])
with step = 5 but I get errors i.e. IndexError: invalid index
Also tried various combos of explicitly referencing D coordinates but
to no avail.
TIA,
Vince Fulco
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