python - ValueError: could not broadcast input array from shape (80,269,269) into shape (80,269,234) -


datai of shape (80,336,336)

z= np.zeros([80,800,800], dtype= datai.dtype)  v=np.zeros_like(z)  centres = [(100,200),(400,100), (600,300), (500,400), (600,500)] zooms = [[1,1,1], [1,0.6,0.6], [1,0.7,0.7], [1,0.8,0.8], [1,0.9,0.9]]  cent,zoom in zip(centres,zooms):      dataz = scipy.ndimage.zoom(datai, zoom, order=3)      dimz = dataz.shape     off = [max(c-s//2,0) c,s in zip(cent,dimz)]     z[0:dataz.shape[0],off[0]:off[0]+dimz[1],off[1]:off[1]+dimz[2]]=dataz

i need place scaled data in big array z. giving center positions, need place data (if overlaps, take average of values)

but following error:

traceback (most recent call last):   file "<stdin>", line 1, in <module>     z[0:dataz.shape[0],off[0]:off[0]+dimz[1],off[1]:off[1]+dimz[2]]=dataz  valueerror: not broadcast input array shape (80,269,269) shape (80,269,234)

how solve error?

the problem slicing can go beyond array extend, in case elements in extend of array returned:

>>> arr = np.ones((3, 3)) >>> arr[2:10, 2:10]   # doesn't have shape (8, 8)! array([[ 1.]])

so calculation goes beyond extend , z[0:dataz.shape[0],off[0]:off[0]+dimz[1],off[1]:off[1]+dimz[2]] isn't shape expect be!

i added debug statements:

from scipy import ndimage  # better import submodules scipy  # did  cent, zoom in zip(centres, zooms):     dataz = ndimage.zoom(datai, zoom, order=3)      dimz = dataz.shape     off = [max(c - s // 2, 0) c, s in zip(cent, dimz)]     print(off)     print(np.s_[0:dataz.shape[0],off[0]:off[0]+dimz[1],off[1]:off[1]+dimz[2]])     z[0 : dataz.shape[0],       off[0] : off[0] + dimz[1],       off[1] : off[1] + dimz[2]] = dataz

this printed:

[60, 32] (slice(0, 80, none), slice(60, 396, none), slice(32, 368, none)) [360, 0] (slice(0, 80, none), slice(360, 562, none), slice(0, 202, none)) [560, 183] (slice(0, 80, none), slice(560, 795, none), slice(183, 418, none)) [460, 266] (slice(0, 80, none), slice(460, 729, none), slice(266, 535, none)) [560, 349] (slice(0, 80, none), slice(560, 862, none), slice(349, 651, none))

and mentioned earlier applies here: slice(560, 862, none) goes beyond extend , lack 62 items in second dimension:

valueerror: not broadcast input array shape (80,302,302) shape (80,240,302)

easy fix: increase size of z!

a related note: know // has higher precedence -? 

max(c-s//2,0)     # equivalent max(c-(s//2), 0)

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