def to_region_nd_map(self,
region,
func=np.nansum,
weights=None,
method="nearest"):
"""Get region ND map in a given region.
By default the whole map region is considered.
Parameters
----------
region: `~regions.Region` or `~astropy.coordinates.SkyCoord`
Region.
func : numpy.func
Function to reduce the data. Default is np.nansum.
For boolean Map, use np.any or np.all.
weights : `WcsNDMap`
Array to be used as weights. The geometry must be equivalent.
method : {"nearest", "linear"}
How to interpolate if a position is given.
Returns
-------
spectrum : `~gammapy.maps.RegionNDMap`
Spectrum in the given region.
"""
from gammapy.maps import RegionGeom, RegionNDMap
if isinstance(region, SkyCoord):
region = PointSkyRegion(region)
if weights is not None:
if not self.geom == weights.geom:
raise ValueError(
"Incompatible spatial geoms between map and weights")
geom = RegionGeom(region=region, axes=self.geom.axes)
if isinstance(region, PointSkyRegion):
coords = geom.get_coord()
data = self.interp_by_coord(coords=coords, method=method)
if weights is not None:
data *= weights.interp_by_coord(coords=coords, method=method)
else:
cutout = self.cutout(position=geom.center_skydir,
width=np.max(geom.width))
if weights is not None:
weights_cutout = weights.cutout(position=geom.center_skydir,
width=geom.width)
cutout.data *= weights_cutout.data
mask = cutout.geom.to_image().region_mask([region]).data
data = func(cutout.data[..., mask], axis=-1)
return RegionNDMap(geom=geom,
data=data,
unit=self.unit,
meta=self.meta.copy())
def test_no_edisp(self):
dataset = self.datasets[0].copy()
energy = dataset.counts.geom.axes[0].copy(name="energy_true")
geom = RegionGeom(region=None, axes=[energy])
data = dataset.aeff.interp_by_coord(geom.get_coord())
dataset.aeff = RegionNDMap.from_geom(geom=geom, data=data, unit="cm2")
dataset.edisp = None
dataset.models = self.pwl
fit = Fit([dataset])
result = fit.run()
assert_allclose(result.parameters["index"].value, 2.7961, atol=0.02)
