def _reject_outliers(self, imlist, wtlist):
"""
See meds.reject_outliers for the algorithm
"""
nreject = meds.reject_outliers(imlist, wtlist)
if nreject > 0:
print(" rejected", nreject, "outliers")
def _reject_outliers(self, imlist, wtlist):
"""
See meds.reject_outliers for the algorithm
"""
nreject = meds.reject_outliers(imlist, wtlist)
if nreject > 0:
print(" rejected", nreject, "outliers")
def _reject_outliers(self, obs_list):
imlist = []
wtlist = []
for obs in obs_list:
if obs.meta["flags"] == 0:
imlist.append(obs.image)
wtlist.append(obs.weight)
# weight map is modified
nreject = meds.reject_outliers(imlist, wtlist)
if nreject > 0:
print(" rejected: %d" % nreject)
def _reject_outliers(self, obs_list):
for attr in ['weight','weight_raw','weight_us','weight_orig']:
imlist=[]
wtlist = []
for obs in obs_list:
if obs.meta['flags'] == 0 and hasattr(obs,attr) and getattr(obs,attr) is not None:
imlist.append(obs.image)
wtlist.append(getattr(obs,attr))
# weight map is modified
if len(wtlist) > 0:
nreject=meds.reject_outliers(imlist,wtlist)
if nreject > 0:
print(' rejected pixels using %s: %d' % (attr,nreject))
