logger = logging.getLogger(__name__)
__author__ = "Doga Gursoy"
__copyright__ = "Copyright (c) 2015, UChicago Argonne, LLC."
__docformat__ = 'restructuredtext en'
__all__ = [
'downsample',
'upsample',
'pad',
'sino_360_to_180',
'sino_360_t0_180', # For backward compatibility
'trim_sinogram'
]
LIB_TOMOPY = extern.c_shared_lib('libtomopy')
def pad(arr, axis, npad=None, mode='constant', ncore=None, **kwargs):
"""
Pad an array along specified axis.
Parameters
----------
arr : ndarray
Input array.
npad : int, optional
New dimension after padding.
axis : int, optional
Axis along which padding will be performed.
mode : str or function
import tomopy.util.extern as extern
import tomopy.util.dtype as dtype
import logging
logger = logging.getLogger(__name__)
__author__ = "Doga Gursoy"
__copyright__ = "Copyright (c) 2015, UChicago Argonne, LLC."
__docformat__ = 'restructuredtext en'
__all__ = ['pad',
'downsample',
'upsample']
LIB_TOMOPY = extern.c_shared_lib('libtomopy')
def pad(arr, axis, npad=None, val=0):
"""
Pad an array along specified axis.
Parameters
----------
arr : ndarray
Input array.
npad : int, optional
New dimension after padding.
axis : int, optional
Axis along which padding will be performed.
val : float, optional
