49+ results for 'numpy fromtextfile' (164 ms)
1""":mod:`numpy.ma..mrecords`
2
2
3Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
4where fields can be accessed as attributes.
4where fields can be accessed as attributes.
5Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
6and the masking of individual fields.
20
21import numpy as np
22from numpy import bool_, dtype, \
23 ndarray, recarray, array as narray
24import numpy.core.numerictypes as ntypes
25from numpy.core.records import fromarrays as recfromarrays, \
30
31import numpy.ma as ma
32from numpy.ma import MAError, MaskedArray, masked, nomask, masked_array, \
test_mrecords.py https://github.com/wizzk42/numpy.git | Python | 501 lines
11import sys
12import numpy as np
13from numpy import recarray
13from numpy import recarray
14from numpy.core.records import fromrecords as recfromrecords, \
15 fromarrays as recfromarrays
16
17from numpy.compat import asbytes, asbytes_nested
18
18
19import numpy.ma.testutils
20from numpy.ma.testutils import *
21
22import numpy.ma as ma
23from numpy.ma import masked, nomask
test_mrecords.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 520 lines
12
13import numpy as np
14import numpy.ma as ma
14import numpy.ma as ma
15from numpy import recarray
16from numpy.compat import asbytes, asbytes_nested
16from numpy.compat import asbytes, asbytes_nested
17from numpy.ma import masked, nomask
18from numpy.testing import TestCase, run_module_suite
18from numpy.testing import TestCase, run_module_suite
19from numpy.core.records import (
20 fromrecords as recfromrecords, fromarrays as recfromarrays
21 )
22from numpy.ma.mrecords import (
23 MaskedRecords, mrecarray, fromarrays, fromtextfile, fromrecords,
mrecords.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 796 lines
1""":mod:`numpy.ma..mrecords`
2
2
3Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
4where fields can be accessed as attributes.
4where fields can be accessed as attributes.
5Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
6and the masking of individual fields.
20
21import numpy as np
22import numpy.core.numerictypes as ntypes
22import numpy.core.numerictypes as ntypes
23from numpy.compat import basestring
24from numpy import (
26 )
27from numpy.core.records import (
28 fromarrays as recfromarrays, fromrecords as recfromrecords
test_mrecords.py https://gitlab.com/pierreEffiScience/ImageLabeling | Python | 516 lines
12
13import numpy as np
14import numpy.ma as ma
14import numpy.ma as ma
15from numpy import recarray
16from numpy.compat import asbytes, asbytes_nested
16from numpy.compat import asbytes, asbytes_nested
17from numpy.ma import masked, nomask
18from numpy.testing import TestCase, run_module_suite, temppath
18from numpy.testing import TestCase, run_module_suite, temppath
19from numpy.core.records import (
20 fromrecords as recfromrecords, fromarrays as recfromarrays
21 )
22from numpy.ma.mrecords import (
23 MaskedRecords, mrecarray, fromarrays, fromtextfile, fromrecords,
test_mrecords.py https://github.com/dpritsos/WEGA.git | Python | 496 lines
12
13import numpy as np
14import numpy.ma as ma
14import numpy.ma as ma
15from numpy import recarray
16from numpy.ma import masked, nomask
16from numpy.ma import masked, nomask
17from numpy.testing import temppath
18from numpy.core.records import (
20 )
21from numpy.ma.mrecords import (
22 MaskedRecords, mrecarray, fromarrays, fromtextfile, fromrecords,
24 )
25from numpy.ma.testutils import (
26 assert_, assert_equal,
test_mrecords.py https://github.com/plaes/numpy.git | Python | 491 lines
10
11import numpy as np
12from numpy import recarray
12from numpy import recarray
13from numpy.core.records import fromrecords as recfromrecords, \
14 fromarrays as recfromarrays
15
16import numpy.ma.testutils
17from numpy.ma.testutils import *
18
19import numpy.ma as ma
20from numpy.ma import masked, nomask
21
22from numpy.ma.mrecords import MaskedRecords, mrecarray, fromarrays, \
23 fromtextfile, fromrecords, addfield
mrecords.py https://github.com/plaes/numpy.git | Python | 719 lines
19
20import numpy as np
21from numpy import bool_, dtype, \
22 ndarray, recarray, array as narray
23import numpy.core.numerictypes as ntypes
24from numpy.core.records import fromarrays as recfromarrays, \
29
30import numpy.ma as ma
31from numpy.ma import MAError, MaskedArray, masked, nomask, masked_array,\
38__all__ = ['MaskedRecords','mrecarray',
39 'fromarrays','fromrecords','fromtextfile','addfield',
40 ]
test_mrecords.py https://github.com/WeatherGod/numpy.git | Python | 522 lines
13
14import numpy as np
15import numpy.ma.testutils
15import numpy.ma.testutils
16import numpy.ma as ma
17from numpy import recarray
17from numpy import recarray
18from numpy.core.records import fromrecords as recfromrecords, \
19 fromarrays as recfromarrays
20
21from numpy.compat import asbytes, asbytes_nested
22from numpy.ma.testutils import *
22from numpy.ma.testutils import *
23from numpy.ma import masked, nomask
24from numpy.testing.utils import WarningManager
test_wcsapi.py https://gitlab.com/MatiasRepetto/astropy | Python | 473 lines
7import pytest
8import numpy as np
9
81 cube_header = get_pkg_data_filename('data/cube_header')
82 header = fits.Header.fromtextfile(cube_header)
83 return WCS(header=header)
test_misc.py https://gitlab.com/MatiasRepetto/astropy | Python | 541 lines
4import pytest
5import numpy as np
6import matplotlib
9from matplotlib.contour import QuadContourSet
10import numpy as np
11
78@pytest.mark.parametrize('grid_type', ['lines', 'contours'])
79def test_no_numpy_warnings(ignore_matplotlibrc, tmpdir, grid_type):
80 fig = plt.figure()
97 'No contour levels were found within the data range' in w_msg or
98 'np.asscalar(a) is deprecated since NumPy v1.16' in w_msg or
99 'PY_SSIZE_T_CLEAN will be required' in w_msg)
117 twoMASS_k_header = get_pkg_data_filename('data/2MASS_k_header')
118 twoMASS_k_header = fits.Header.fromtextfile(twoMASS_k_header)
119 fig = plt.figure(figsize=(6, 6))
test_images.py https://gitlab.com/MatiasRepetto/astropy | Python | 1009 lines
7
8import numpy as np
9
27 msx_header = get_pkg_data_filename('data/msx_header')
28 cls.msx_header = fits.Header.fromtextfile(msx_header)
29
30 rosat_header = get_pkg_data_filename('data/rosat_header')
31 cls.rosat_header = fits.Header.fromtextfile(rosat_header)
32
33 twoMASS_k_header = get_pkg_data_filename('data/2MASS_k_header')
34 cls.twoMASS_k_header = fits.Header.fromtextfile(twoMASS_k_header)
35
36 cube_header = get_pkg_data_filename('data/cube_header')
37 cls.cube_header = fits.Header.fromtextfile(cube_header)
38
mrecords.py https://github.com/mbentz80/jzigbeercp.git | Python | 807 lines
20
21import numpy as np
22from numpy import bool_, complex_, float_, int_, str_, object_, dtype, \
23 chararray, ndarray, recarray, record, array as narray
24import numpy.core.numerictypes as ntypes
25from numpy.core.records import find_duplicate, format_parser
25from numpy.core.records import find_duplicate, format_parser
26from numpy.core.records import fromarrays as recfromarrays, \
27 fromrecords as recfromrecords
31
32import numpy.ma as ma
33from numpy.ma import MAError, MaskedArray, masked, nomask, masked_array,\
40__all__ = ['MaskedRecords','mrecarray',
41 'fromarrays','fromrecords','fromtextfile','addfield',
42 ]
trecords.py https://github.com/pierregm/scikits.timeseries.git | Python | 501 lines
17
18import numpy as np
19from numpy import bool_, complex_, float_, int_, str_, object_, \
20 ndarray, chararray, recarray
21import numpy.core.numerictypes as ntypes
22import numpy.core.umath as umath
22import numpy.core.umath as umath
23from numpy.core.records import find_duplicate, format_parser, record, \
24 fromarrays as recfromarrays
25
26import numpy.ma as ma
27from numpy.ma import MaskedArray, MAError, \
30
31import numpy.ma.mrecords
32from numpy.ma.mrecords import _checknames, \
test_misc.py https://github.com/eteq/astropy.git | Python | 280 lines
6import pytest
7import numpy as np
8import matplotlib.pyplot as plt
67@ignore_matplotlibrc
68def test_no_numpy_warnings(tmpdir):
69
104 twoMASS_k_header = os.path.join(DATA, '2MASS_k_header')
105 twoMASS_k_header = fits.Header.fromtextfile(twoMASS_k_header)
106 fig = plt.figure(figsize=(6, 6))
__init__.py https://github.com/ayshih/sunpy.git | Python | 151 lines
9
10import numpy as np
11
93 """
94 header = astropy.io.fits.Header.fromtextfile(header_file)
95 shape = [header[f'naxis{i+1}'] for i in range(header['naxis'])]
112 filepath = get_test_filepath(filename)
113 header = astropy.io.fits.Header.fromtextfile(filepath)
114 data = np.random.rand(header['naxis2'], header['naxis1'])
test_mrecords.py https://bitbucket.org/alevector/instastuff.git | Python | 500 lines
12
13import numpy as np
14import numpy.ma as ma
14import numpy.ma as ma
15from numpy import recarray
16from numpy.ma import masked, nomask
16from numpy.ma import masked, nomask
17from numpy.testing import run_module_suite, temppath
18from numpy.core.records import (
20 )
21from numpy.ma.mrecords import (
22 MaskedRecords, mrecarray, fromarrays, fromtextfile, fromrecords,
24 )
25from numpy.ma.testutils import (
26 assert_, assert_equal,
test_mrecords.py https://github.com/mbentz80/jzigbeercp.git | Python | 178 lines
14
15import numpy as N
16import numpy.core.fromnumeric as fromnumeric
16import numpy.core.fromnumeric as fromnumeric
17from numpy.testing import NumpyTest, NumpyTestCase
18from numpy.testing.utils import build_err_msg
24#import maskedarray.mrecords
25#from maskedarray.mrecords import mrecarray, fromarrays, fromtextfile, fromrecords
26import maskedarray.mrecords
27from maskedarray.mrecords import MaskedRecords, \
28 fromarrays, fromtextfile, fromrecords, addfield
29
30#..............................................................................
31class test_mrecords(NumpyTestCase):
32 "Base test class for MaskedArrays."
test_mrecords.py https://github.com/Pymol-Scripts/Pymol-script-repo.git | Python | 386 lines
12
13import numpy as np
14from numpy import recarray
14from numpy import recarray
15from numpy.core.records import fromrecords as recfromrecords, \
16 fromarrays as recfromarrays
17
18import numpy.ma.testutils
19from numpy.ma.testutils import *
20
21import numpy.ma as ma
22from numpy.ma import masked, nomask, getdata, getmaskarray
23
24import numpy.ma.mrecords
25reload(numpy.ma.mrecords)
test_deprecations.py https://github.com/rgommers/numpy.git | Python | 89 lines
4import pytest
5import numpy as np
6from numpy.testing import assert_warns
6from numpy.testing import assert_warns
7from numpy.ma.testutils import assert_equal
8from numpy.ma.core import MaskedArrayFutureWarning
48 def test_axis_default(self):
49 # NumPy 1.13, 2017-05-06
50
73
74class TestFromtextfile:
75 def test_fromtextfile_delimitor(self):
75 def test_fromtextfile_delimitor(self):
76 # NumPy 1.22.0, 2021-09-23
77
test_mrecords.py git://github.com/numpy/numpy.git | Python | 493 lines
7"""
8import numpy as np
9import numpy.ma as ma
9import numpy.ma as ma
10from numpy import recarray
11from numpy.ma import masked, nomask
11from numpy.ma import masked, nomask
12from numpy.testing import temppath
13from numpy.core.records import (
15 )
16from numpy.ma.mrecords import (
17 MaskedRecords, mrecarray, fromarrays, fromtextfile, fromrecords,
19 )
20from numpy.ma.testutils import (
21 assert_, assert_equal,
mrecords.py git://github.com/numpy/numpy.git | Python | 770 lines
1""":mod:`numpy.ma..mrecords`
2
2
3Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
4where fields can be accessed as attributes.
4where fields can be accessed as attributes.
5Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
6and the masking of individual fields.
17
18import numpy as np
19from numpy import (
21 )
22from numpy.core.records import (
23 fromarrays as recfromarrays, fromrecords as recfromrecords
27
28import numpy.ma as ma
29from numpy.ma import (
test_beam.py git://github.com/aplpy/aplpy.git | Python | 214 lines
3import pytest
4import numpy as np
5from astropy import units as u
13
14HEADER = fits.Header.fromtextfile(os.path.join(header_dir, '1904-66_TAN.hdr'))
15HDU = fits.PrimaryHDU(np.zeros((16, 16)), HEADER)
helpers.py git://github.com/aplpy/aplpy.git | Python | 72 lines
4
5import numpy as np
6from astropy.io import fits
16 # Read in header
17 header = fits.Header.fromtextfile(header_file)
18
test_mrecords.py https://github.com/numpy/numpy-refactor.git | Python | 504 lines
13
14import numpy as np
15from numpy import recarray
15from numpy import recarray
16from numpy.core.records import fromrecords as recfromrecords, \
17 fromarrays as recfromarrays
18
19from numpy.compat import asbytes, asbytes_nested
20
20
21import numpy.ma.testutils
22from numpy.ma.testutils import *
23
24import numpy.ma as ma
25from numpy.ma import masked, nomask
test_pixworldmarkers.py git://github.com/aplpy/aplpy.git | Python | 66 lines
3import pytest
4import numpy as np
5
37 wcs = generate_wcs(HEADER)
38 header = fits.Header.fromtextfile(HEADER)
39 wcs.naxis1 = header['NAXIS1']
58 wcs = generate_wcs(HEADER)
59 header = fits.Header.fromtextfile(HEADER)
60 wcs.naxis1 = header['NAXIS1']
tmulti.py https://github.com/mbentz80/jzigbeercp.git | Python | 531 lines
16
17import numpy
18from numpy import bool_, complex_, float_, int_, str_, object_
18from numpy import bool_, complex_, float_, int_, str_, object_
19import numpy.core.fromnumeric as fromnumeric
20import numpy.core.numeric as numeric
20import numpy.core.numeric as numeric
21from numpy.core.numeric import ndarray
22import numpy.core.numerictypes as ntypes
22import numpy.core.numerictypes as ntypes
23import numpy.core.umath as umath
24from numpy.core.defchararray import chararray
24from numpy.core.defchararray import chararray
25from numpy.core.records import find_duplicate
26from numpy.core.records import format_parser, recarray, record
test_mrecords.py https://github.com/mbentz80/jzigbeercp.git | Python | 411 lines
12
13import numpy as np
14from numpy import recarray
14from numpy import recarray
15from numpy.core.records import fromrecords as recfromrecords, \
16 fromarrays as recfromarrays
17
18import numpy.ma.testutils
19from numpy.ma.testutils import *
20
21import numpy.ma as ma
22from numpy.ma import masked, nomask, getdata, getmaskarray
23
24import numpy.ma.mrecords
25
test_mrecords.py https://github.com/pv/numpy.git | Python | 521 lines
12
13import numpy as np
14import numpy.ma as ma
14import numpy.ma as ma
15from numpy import recarray
16from numpy.core.records import (fromrecords as recfromrecords,
18
19from numpy.compat import asbytes, asbytes_nested
20from numpy.ma.testutils import *
20from numpy.ma.testutils import *
21from numpy.ma import masked, nomask
22from numpy.ma.mrecords import (MaskedRecords, mrecarray, fromarrays,
22from numpy.ma.mrecords import (MaskedRecords, mrecarray, fromarrays,
23 fromtextfile, fromrecords, addfield)
24
mrecords.py https://github.com/numpy/numpy.git | Python | 783 lines
1""":mod:`numpy.ma..mrecords`
2
2
3Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
4where fields can be accessed as attributes.
4where fields can be accessed as attributes.
5Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
6and the masking of individual fields.
15
16from numpy.ma import (
17 MAError, MaskedArray, masked, nomask, masked_array, getdata,
19)
20import numpy.ma as ma
21import warnings
22
23import numpy as np
24from numpy import (
test_wcs_util.py git://github.com/aplpy/aplpy.git | Python | 50 lines
2
3import numpy as np
4from astropy.io import fits
11HEADER_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'data')
12HEADER_2D = fits.Header.fromtextfile(os.path.join(HEADER_DIR, '2d_fits', '1904-66_TAN.hdr'))
13HEADER_3D = fits.Header.fromtextfile(os.path.join(HEADER_DIR, '3d_fits', 'cube.hdr'))
test_scalebar.py git://github.com/aplpy/aplpy.git | Python | 113 lines
3import pytest
4import numpy as np
5from astropy import units as u
12HEADER_DIR = os.path.join(ROOT, 'data/2d_fits')
13HEADER = fits.Header.fromtextfile(os.path.join(HEADER_DIR, '1904-66_TAN.hdr'))
14HDU = fits.PrimaryHDU(np.zeros((16, 16)), HEADER)
test_init_image.py git://github.com/aplpy/aplpy.git | Python | 194 lines
3import pytest
4import numpy as np
5from astropy.io import fits
82 wcs = generate_wcs(REFERENCE)
83 header_ = fits.Header.fromtextfile(REFERENCE)
84 header = wcs.to_header()
101
102# Test initalization through a Numpy array (no WCS)
103def test_numpy_nowcs_init():
test_rgb.py git://github.com/aplpy/aplpy.git | Python | 126 lines
4import pytest
5import numpy as np
6from astropy.io import fits
37
38 header = fits.Header.fromtextfile(HEADER)
39
92
93 header = fits.Header.fromtextfile(HEADER)
94
test_mrecords.py https://github.com/joferkington/numpy.git | Python | 518 lines
13
14import numpy as np
15import numpy.ma.testutils
15import numpy.ma.testutils
16import numpy.ma as ma
17from numpy import recarray
17from numpy import recarray
18from numpy.core.records import fromrecords as recfromrecords, \
19 fromarrays as recfromarrays
20
21from numpy.compat import asbytes, asbytes_nested
22from numpy.ma.testutils import *
22from numpy.ma.testutils import *
23from numpy.ma import masked, nomask
24from numpy.ma.mrecords import MaskedRecords, mrecarray, fromarrays, \
test_pickle.py https://github.com/astropy/astropy.git | Python | 160 lines
5
6import numpy as np
7import pytest
7import pytest
8from numpy.testing import assert_array_almost_equal
9
12from astropy.utils.exceptions import AstropyDeprecationWarning
13from astropy.utils.misc import NumpyRNGContext
14from astropy.io import fits
37
38 with NumpyRNGContext(123456789):
39 x = np.random.rand(2 ** 16, wcs1.wcs.naxis)
55
56 with NumpyRNGContext(123456789):
57 x = np.random.rand(2 ** 16, wcs1.wcs.naxis)
test_mrecords.py https://github.com/jonovik/numpy.git | Python | 513 lines
12
13import numpy as np
14import numpy.ma as ma
14import numpy.ma as ma
15from numpy import recarray
16from numpy.ma import masked, nomask
16from numpy.ma import masked, nomask
17from numpy.testing import TestCase, run_module_suite, temppath
18from numpy.core.records import (
20 )
21from numpy.ma.mrecords import (
22 MaskedRecords, mrecarray, fromarrays, fromtextfile, fromrecords,
24 )
25from numpy.ma.testutils import (
26 assert_, assert_equal,
test_multitimeseries.py https://github.com/mbentz80/jzigbeercp.git | Python | 188 lines
14
15import numpy as N
16import numpy.core.fromnumeric as fromnumeric
16import numpy.core.fromnumeric as fromnumeric
17from numpy.testing import NumpyTest, NumpyTestCase
18from numpy.testing.utils import build_err_msg
30from timeseries.tmulti import MultiTimeSeries, TimeSeries,\
31 fromarrays, fromtextfile, fromrecords, \
32 date_array, time_series
35#..............................................................................
36class test_mrecords(NumpyTestCase):
37 "Base test class for MaskedArrays."
38 def __init__(self, *args, **kwds):
39 NumpyTestCase.__init__(self, *args, **kwds)
40 self.setup()
test_polynomial.py https://gitlab.com/JakenHerman/astropy.git | Python | 161 lines
9import os
10import numpy as np
11
11
12from numpy.testing import utils
13from .. import fitting
116 test_file = get_pkg_data_filename(os.path.join('data', 'hst_sip.hdr'))
117 hdr = fits.Header.fromtextfile(test_file)
118 crpix1 = hdr['CRPIX1']
137 test_file = get_pkg_data_filename(os.path.join('data', 'irac_sip.hdr'))
138 hdr = fits.Header.fromtextfile(test_file)
139 crpix1 = hdr['CRPIX1']
test_init_image.py https://github.com/keflavich/aplpy.git | Python | 182 lines
5
6import numpy as np
7from astropy.tests.helper import pytest
90 wcs = generate_wcs(REFERENCE)
91 header_ = fits.Header.fromtextfile(REFERENCE)
92 header = wcs.to_header()
110
111# Test initalization through a Numpy array (no WCS)
112def test_numpy_nowcs_init():
test_pixworldmarkers.py https://github.com/keflavich/aplpy.git | Python | 67 lines
5
6import numpy as np
7
38 wcs = generate_wcs(HEADER)
39 header = fits.Header.fromtextfile(HEADER)
40 wcs.naxis1 = header['NAXIS1']
51 f.show_markers(inputval[0], inputval[1])
52 assert exc.value.args[0] == "world2pix should be provided either with two scalars, two lists, or two numpy arrays"
53 f.close()
57 wcs = generate_wcs(HEADER)
58 header = fits.Header.fromtextfile(HEADER)
59 wcs.naxis1 = header['NAXIS1']
64 f.close()
65 assert exc.value.args[0] == "world2pix should be provided either with two scalars, two lists, or two numpy arrays"
66
test_scalebar.py https://github.com/keflavich/aplpy.git | Python | 115 lines
5
6import numpy as np
7from astropy.tests.helper import pytest
15
16HEADER = fits.Header.fromtextfile(os.path.join(header_dir, '1904-66_TAN.hdr'))
17HDU = fits.PrimaryHDU(np.zeros((16, 16)), HEADER)
test_mrecarray.py https://github.com/mbentz80/jzigbeercp.git | Python | 128 lines
14
15import numpy as N
16import numpy.core.fromnumeric as fromnumeric
16import numpy.core.fromnumeric as fromnumeric
17from numpy.testing import NumpyTest, NumpyTestCase
18from numpy.testing.utils import build_err_msg
24import maskedarray.mrecords
25from maskedarray.mrecords import mrecarray, fromarrays, fromtextfile, fromrecords
26
28#..............................................................................
29class test_mrecarray(NumpyTestCase):
30 "Base test class for MaskedArrays."
31 def __init__(self, *args, **kwds):
32 NumpyTestCase.__init__(self, *args, **kwds)
33 self.setup()
test_images.py https://github.com/eteq/astropy.git | Python | 732 lines
4import pytest
5import numpy as np
6
30 msx_header = os.path.join(cls._data_dir, 'msx_header')
31 cls.msx_header = fits.Header.fromtextfile(msx_header)
32
33 rosat_header = os.path.join(cls._data_dir, 'rosat_header')
34 cls.rosat_header = fits.Header.fromtextfile(rosat_header)
35
36 twoMASS_k_header = os.path.join(cls._data_dir, '2MASS_k_header')
37 cls.twoMASS_k_header = fits.Header.fromtextfile(twoMASS_k_header)
38
39 cube_header = os.path.join(cls._data_dir, 'cube_header')
40 cls.cube_header = fits.Header.fromtextfile(cube_header)
41
test_wcs.py https://github.com/keflavich/pyregion.git | Python | 43 lines
8import os.path
9from numpy.testing import assert_allclose
10
38def test_calculate_rotation_angle(region_frame, header_name, rot_angle):
39 header = Header.fromtextfile(os.path.join(rootdir, header_name))
40 assert_allclose(
test_region.py https://github.com/keflavich/pyregion.git | Python | 69 lines
1import os
2import numpy as np
3from os.path import join
6from astropy.tests.helper import pytest
7from numpy.testing import assert_allclose
8
13def header():
14 return Header.fromtextfile(join(rootdir, "sample_fits01.header"))
15
35def test_region(ref_name, reg_name, header_name):
36 header = Header.fromtextfile(join(rootdir, header_name))
37 ref_region = pyregion_open(join(rootdir, ref_name)).as_imagecoord(header)
test_rgb.py https://github.com/keflavich/aplpy.git | Python | 56 lines
3
4import numpy as np
5from astropy.io import fits
31
32 header = fits.Header.fromtextfile(HEADER)
33
load_header.py https://github.com/keflavich/image_registration.git | Python | 57 lines
1from astropy.io import fits
2import numpy as np
3import warnings
21 try:
22 return fits.Header().fromtextfile(header)
23 except IOError:
test_get_mask.py https://github.com/keflavich/pyregion.git | Python | 23 lines
1import os
2import numpy as np
3from os.path import join
10def demo_header():
11 return Header.fromtextfile(join(rootdir, "sample_fits01.header"))
12