Overlay nd array at different locations in python

Question

Suppose I have an 3d array with the size of (100,100,100), I would like to overlay or copy this array centered at various points (with the range of 0-100 in all directions) in space and the resulting 3d array has a size of (100,100,100). Any point near the edges of the array will be concatenated to maintain the resulting size of the array

I wrote this manually, by finding the range of the array index and coping it over but I suspect there is a easier way.

arr1.shape (100, 100, 100)

point[0] = [5.5, 45.32, 35.0] ... point[n] = [85.0, 15,2, 90.1]

arr2 = np.zeros((100,100,100),float) for each point I will mannualy find and copy over arr2[minx:maxx,miny:maxy,minz,maxz] = arr1[minx:maxx,miny:maxy,minz,maxz] where min and max are index of the arrays.

Yes I am trying to convolve this kernel to the points. I looked into numpy.convolve but don't know how I would go about doing it with scipy.

and also please define "space"

dr. Sybren
– dr. Sybren

2012-07-17 15:00:52 +00:00
Commented Jul 17, 2012 at 15:00 — dr. Sybren
– dr. Sybren, Commented Jul 17, 2012 at 15:00

Luke · Accepted Answer · 2012-07-17 15:28:06Z

0

It sounds like you are trying to do a convolution. Does scipy.ndimage.convolve work for you?

answered Jul 17, 2012 at 15:28

Luke

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user1532056 Over a year ago

I am trying to convolve but couldn't get it to work so ended up manually looping over and adding the pixels manually.

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