def countmap(band,skypos,tranges,skyrange,width=False,height=False,
verbose=0,tscale=1000.,memlight=False,hdu=False,retries=20):
"""Create a count (cnt) map."""
imsz = gxt.deg2pix(skypos,skyrange)
count = np.zeros(imsz)
for trange in tranges:
# If memlight is requested, break the integration into
# smaller chunks.
step = memlight if memlight else trange[1]-trange[0]
for i in np.arange(trange[0],trange[1],step):
t0,t1=i,i+step
if verbose:
print_inline('Coadding '+str(t0)+' to '+str(t1))
events = gQuery.getArray(gQuery.rect(band,skypos[0],skypos[1],t0,t1,
skyrange[0],skyrange[1]),
verbose=verbose,retries=retries)
# Check that there is actually data here.
if not events:
if verbose>1:
print "No data in "+str([t0,t1])
continue
times = np.array(events,dtype='float64')[:,0 ]/tscale
coo = np.array(events,dtype='float64')[:,1:]
# If there's no data, return a blank image.
if len(coo)==0:
if verbose:
print 'No data in this frame: '+str([t0,t1])
continue
# Define World Coordinate System (WCS)
wcs = define_wcs(skypos,skyrange,width=False,height=False)
# Map the sky coordinates onto the focal plane
foc = wcs.sip_pix2foc(wcs.wcs_world2pix(coo,1),1)
# Bin the events into actual image pixels
H,xedges,yedges=np.histogram2d(foc[:,1]-0.5,foc[:,0]-0.5,
bins=imsz,range=([ [0,imsz[0]],[0,imsz[1]] ]))
count += H
return count
def test_rect(self):
self.assertEqual(gq.rect(self.NUV,self.ra0,self.dec0,self.t0,self.t1,self.radius,self.radius),'http://masttest.stsci.edu/portal/Mashup/MashupQuery.asmx/GalexPhotonListQueryTest?query=select time,ra,dec from fGetObjFromRectNUV(176.917525856,176.92152585600002,0.253696872807,0.257696872807,766525332995,866526576995,0)&format=json&timeout={}')
