rebin¶

pydl.rebin(x, d, sample=False)[source]¶

Resize x to new dimensions given by d. The new dimensions must be integer multiples or factors of the original dimensions.

Although there are some elegant solutions out there for rebinning, this function is intended to replace the IDL REBIN() function, which has a number of special properties:

It refuses to perform extrapolation when rebinning to a larger size in a particular dimension.
It can simultaneously rebin to a larger size in one dimension while rebinning to a smaller size in another dimension.

Parameters

xndarray: The array to resample.
dtuple: The new shape of the array.
samplebool, optional: If True, nearest-neighbor techniques will be used instead of interpolation.

Returns

ndarray: The resampled array.

Raises

ValueError: If the new dimensions are incompatible with the algorithm.

Warning

This function may not be 100% compatible with the IDL version for integer inputs. It is not possible at present to examine the details of the IDL code to determine the exact type manipulation that are used. For further discussion see Issue #60.

References

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

Examples

>>> from numpy import arange
>>> from pydl import rebin
>>> rebin(arange(10, dtype=float), (5,)) 
array([0.5, 2.5, 4.5, 6.5, 8.5])
>>> rebin(arange(5, dtype=float), (10,)) 
array([0. , 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4. ])

Navigation

rebin¶