lib.utils.rebin_ndarray

lib.utils.rebin_ndarray(ndarray, new_edges, statistic=<function sum>, interpolation='linear')

Bin an ndarray in all axes based on the target shape, by summing or averaging. Number of output dimensions must match number of input dimensions and new axes must divide old ones.

Taken from https://stackoverflow.com/questions/8090229/resize-with-averaging-or-rebin-a-numpy-2d-array and https://nbodykit.readthedocs.io/en/latest/_modules/nbodykit/binned_statistic.html#BinnedStatistic.reindex.

Example

>>> m = np.arange(0,100,1).reshape((10,10))
>>> n = bin_ndarray(m, new_shape=(5,5), operation='sum')
>>> print(n)

[[ 22 30 38 46 54]

[102 110 118 126 134] [182 190 198 206 214] [262 270 278 286 294] [342 350 358 366 374]]