block_replicate

ccdproc.block_replicate(ccd, block_size, conserve_sum=True)[source]

Thin wrapper around astropy.nddata.block_replicate. Upsample a data array by block replication.

Parameters:

data : array_like

The data to be block replicated.

block_size : int or array_like (int)

The integer block size along each axis. If block_size is a scalar and data has more than one dimension, then block_size will be used for for every axis.

conserve_sum : bool, optional

If True (the default) then the sum of the output block-replicated data will equal the sum of the input data.
Returns:

output : array_like

The block-replicated data.

Examples

>>> import numpy as np
>>> from astropy.nddata.utils import block_replicate
>>> data = np.array([[0., 1.], [2., 3.]])
>>> block_replicate(data, 2)
array([[ 0.  ,  0.  ,  0.25,  0.25],
       [ 0.  ,  0.  ,  0.25,  0.25],
       [ 0.5 ,  0.5 ,  0.75,  0.75],
       [ 0.5 ,  0.5 ,  0.75,  0.75]])

>>> block_replicate(data, 2, conserve_sum=False)
array([[ 0.,  0.,  1.,  1.],
       [ 0.,  0.,  1.,  1.],
       [ 2.,  2.,  3.,  3.],
       [ 2.,  2.,  3.,  3.]])