def test_set_coord_bad_coord(self):
from sherpa.utils.err import IdentifierErr, DataErr
# Test Case #1: if the list of ids is empty, raise
# IdentifierErr['nodatasets']
caught = False
try:
ui.set_coord('image')
except IdentifierErr:
caught = True
if not caught:
self.fail("Test Case #1: IdentifierErr Exception not caught")
# Test Case #2: check the user expected behavior. The call
# set_coord("sky") will result in the error message
# DataErr: unknown coordinates: 'sky'\n \
# Valid coordinates: logical, image, physical, world, wcs
ui.load_image(self.img)
caught = False
try:
ui.set_coord("sky")
except DataErr as e:
okmsg = "unknown coordinates: 'sky'\nValid options: logical, image, physical, world, wcs"
self.assertEqual(okmsg, e.message)
caught = True
if not caught:
self.fail("Test Case #2: DataErr Exception not caught")
def test_set_coord_bad_coord(self):
from sherpa.utils.err import IdentifierErr, DataErr
# Test Case #1: if the list of ids is empty, raise
# IdentifierErr['nodatasets']
caught = False
try:
ui.set_coord('image')
except IdentifierErr:
caught = True
if not caught:
self.fail("Test Case #1: IdentifierErr Exception not caught")
# Test Case #2: check the user expected behavior. The call
# set_coord("sky") will result in the error message
# DataErr: unknown coordinates: 'sky'\n \
# Valid coordinates: logical, image, physical, world, wcs
ui.load_image(self.img)
caught = False
try:
ui.set_coord("sky")
except DataErr as e:
okmsg = "unknown coordinates: 'sky'\nValid options: " + \
"logical, image, physical, world, wcs"
self.assertEqual(okmsg, e.message)
caught = True
if not caught:
self.fail("Test Case #2: DataErr Exception not caught")
def test_image_12578_set_coord_bad_coord(make_data_path, clean_astro_ui):
img = make_data_path('img.fits')
# Test Case #1: if the list of ids is empty, raise
# IdentifierErr['nodatasets']
#
with pytest.raises(IdentifierErr):
ui.set_coord('image')
# Test Case #2: check the user expected behavior. The call
# set_coord("sky") will result in the error message
# DataErr: unknown coordinates: 'sky'\n \
# Valid coordinates: logical, image, physical, world, wcs
#
ui.load_image(img)
with pytest.raises(DataErr) as exc:
ui.set_coord("sky")
okmsg = "unknown coordinates: 'sky'\nValid options: " + \
"logical, image, physical, world, wcs"
assert okmsg in str(exc.value)
# ### Read the maps and store them in a sherpa model
#
# We now have the prepared files which sherpa can read.
# This part of the notebook shows how to do image analysis using sherpa
# In[ ]:
import sherpa.astro.ui as sh
sh.set_stat("cash")
sh.set_method("simplex")
sh.load_image("analysis_3d/counts_2D.fits")
sh.set_coord("logical")
sh.load_table_model("expo", "analysis_3d/exposure_2D.fits")
sh.load_table_model("bkg", "analysis_3d/background_2D.fits")
sh.load_psf("psf", "analysis_3d/psf_2D.fits")
# In principle one might first want to fit the background amplitude. However the background estimation method already yields the correct normalization, so we freeze the background amplitude to unity instead of adjusting it. The (smoothed) residuals from this background model are then computed and shown.
# In[ ]:
sh.set_full_model(bkg)
bkg.ampl = 1
sh.freeze(bkg)
