Using ndimage.gaussian_filter for 3d array

Hello,
             I am wanting to use ndimage.gaussian_filter for a 3d array in
order to smooth the data .

When I do this -

abc[:,:,:] = ndimage.gaussian_filter(abc[:,:,:]*1e2,sigma=2,order=0) I get
unreal values.

However the function call when done within a loop like this

for k in range(0,N):
     abc[k,:,:] = ndimage.gaussian_filter(abc[k,:,:]*1e2,sigma=2,order=0)
gives reasonable smoothed values.

From the docs -
https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html

the input array does not seem to have any restriction on the dimensionality
. So where am I going wrong ?

Best regards,
Ashwin.

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