Concatenating 2d numpy arrays to a 3d numpy array

Question

I have large set of 2d arrays which are being created with loop.

>>> for x in list_imd:
...     arr = arcpy.RasterToNumPyArray(x)
...     print arr.shape
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)
(129, 135)

I want to convert these 2d arrays into one 3d array.

>>> arr_stacked.shape
(19, 129, 135)

Ami Tavory · Accepted Answer · 2016-02-06 09:41:46Z

3

Try using the simple numpy.array constructor:

import numpy as np

np.array([arcpy.RasterToNumPyArray(x) for x in list_imd])

Here is an example that works by me:

a = np.array([[1, 2, 3], [3, 4, 5]])

>>> np.array([a, a]).shape
(2, 2, 3)

answered Feb 6, 2016 at 9:41

Ami Tavory

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