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:

dataarray-like: The data to be block replicated.
block_sizeint 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_sumbool, optional: If True (the default) then the sum of the output block-replicated data will equal the sum of the input data.

Returns:

outputarray-like: The block-replicated data. Note that when conserve_sum is True, the dtype of the output array will be float.

Examples

>>> import numpy as np
>>> from astropy.nddata 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.]])

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block_replicate¶