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Python/NumPy implementation of IDL's rebin function.

Project description

Python/NumPy implementation of IDL’s rebin function.

See http://www.harrisgeospatial.com/docs/rebin.html.

The rebin function defined in this module first groups the cells of the input array in tiles of specified size. Then, a reduction function is applied to each tile, which is replaced by a single value. The resulting array is returned: its dimensions are the number of tiles in the input array.

Rebin is released under a BSD 3-clause license.

Rationale

The input array, a is assumed to be strided. In other words, if

a.strides = (s0, s1, ...),

then

a[i0, i1, ...] = a[[s0*i0 + s1*i1 + ...]],

where [[...]] denotes the offset operator. To compute the output array, we first create a tiled version of a. The number of dimensions of tiled is twice that of a: for each index in a, tiled has one slow index and one fast index

tiled[i0, i1, ..., j0, j1, ...] = a[f0*i0 + j0, f1*i1 + j1, ...],

where factor=(f0, f1, ...) is the binning factor (size of the tiles). Upon using the strides of a

tiled[i0, i1, ..., j0, j1, ...] = a[[s0*f0*i0 + s1*f1*i1 + ... +
                                     s0*j0 + s1*j1 + ...]],

which shows that the strides of tiled are

tiled.strides = (s0*f0, s1*f1, ..., s0, s1, ...).

In other words, tiled is a view of a with modified strides. Restriding an array can be done with the as_strided function from numpy.lib.stride_tricks. Then, the output array is readily computed as follows

out = func(tiled, axis = tuple(range(-a.ndim, 0)))

where reduction is carried out on the fast indices.

Boundary cases

When the dimensions of the input array are not integer multiples of the dimensions of the tiles, the remainding rows/columns are simply discarded. For example

+--------+--------+--------+--------+----+
|  1   1 |  2   2 |  3   3 |  4   4 |  5 |
|  1   1 |  2   2 |  3   3 |  4   4 |  5 |
+--------+--------+--------+--------+----+
|  6   6 |  7   7 |  8   8 |  9   9 | 10 |
|  6   6 |  7   7 |  8   8 |  9   9 | 10 |
+--------+--------+--------+--------+----+
| 11  11 | 12  12 | 13  13 | 14  14 | 15 |
+--------+--------+--------+--------+----+

will produce

+----+----+----+----+
|  4 |  8 | 12 | 16 |
+----+----+----+----+
| 24 | 28 | 32 | 36 |
+----+----+----+----+

for (2, 2) tiles and a sum reduction.

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Filename, size & hash SHA256 hash help File type Python version Upload date
rebin-1.0.1-py2.py3-none-any.whl (6.1 kB) Copy SHA256 hash SHA256 Wheel 3.5 Aug 16, 2016

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