ptypy.utils.array_utils.rebin#

ptypy.utils.array_utils.rebin(a, *args, **kwargs)#

Rebin ndarray data into a smaller ndarray of the same rank whose dimensions are factors of the original dimensions.

Note

eg. An array with 6 columns and 4 rows can be reduced to have 6,3,2 or 1 columns and 4,2 or 1 rows.

Parameters:

  • a (ndarray) – Input array.

  • axis (int, Default=-1, optional) – The laplacian is computed along the provided axis or list of axes, or all axes if None

Returns:

out – Rebinned array.

Return type:

ndarray

Examples

>>> import ptypy
>>> import numpy as np
>>> a=np.random.rand(6,4)
>>> b=ptypy.utils.rebin(a,3,2)
a.reshape(args[0],factor[0],args[1],factor[1],).sum(1).sum(2)*( 1./factor[0]/factor[1])
>>> a2=np.random.rand(6)
>>> b2=ptypy.utils.rebin(a2,2)
a.reshape(args[0],factor[0],).sum(1)*( 1./factor[0])
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