LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
LSSTDataManagementBasePackage
basicUtils.py
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1 #
2 # LSST Data Management System
3 # Copyright 2008-2017 LSST/AURA.
4 #
5 # This product includes software developed by the
6 # LSST Project (http://www.lsst.org/).
7 #
8 # This program is free software: you can redistribute it and/or modify
9 # it under the terms of the GNU General Public License as published by
10 # the Free Software Foundation, either version 3 of the License, or
11 # (at your option) any later version.
12 #
13 # This program is distributed in the hope that it will be useful,
14 # but WITHOUT ANY WARRANTY; without even the implied warranty of
15 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 # GNU General Public License for more details.
17 #
18 # You should have received a copy of the LSST License Statement and
19 # the GNU General Public License along with this program. If not,
20 # see <http://www.lsstcorp.org/LegalNotices/>.
21 #
22 
23 __all__ = ["makeImageFromArray", "makeMaskFromArray", "makeMaskedImageFromArrays"]
24 
25 from .image import Image, Mask
26 from .maskedImage import MaskedImage
27 
28 
29 def makeImageFromArray(array):
30  """Construct an Image from a NumPy array, inferring the Image type from
31  the NumPy type. Return None if input is None.
32  """
33  if array is None:
34  return None
35  return Image(array, dtype=array.dtype.type)
36 
37 
38 def makeMaskFromArray(array):
39  """Construct an Mask from a NumPy array, inferring the Mask type from the
40  NumPy type. Return None if input is None.
41  """
42  if array is None:
43  return None
44  return Mask(array, dtype=array.dtype.type)
45 
46 
47 def makeMaskedImageFromArrays(image, mask=None, variance=None):
48  """Construct a MaskedImage from three NumPy arrays, inferring the
49  MaskedImage types from the NumPy types.
50  """
52  makeImageFromArray(variance), dtype=image.dtype.type)
Represent a 2-dimensional array of bitmask pixels.
Definition: Mask.h:77
def makeMaskedImageFromArrays(image, mask=None, variance=None)
Definition: basicUtils.py:47
A class to represent a 2-dimensional array of pixels.
Definition: Image.h:58