def _update_mask(self):
# Min and Max for new mask
xstart = self.rect['world'][0]
xend = self.rect['world'][2]
if xstart <= xend: newlist=[xstart,xend]
else: newlist = [xend,xstart]
# Mask or unmask
invmask = None
if self.rect['button'] == 1:
invmask = False
mflg = 'Mask'
elif self.rect['button'] == 3:
invmask = True
mflg = 'UNmask'
asaplog.push(mflg+': '+str(newlist))
asaplog.post()
newmask = self.scan.create_mask(newlist,invert=invmask)
# Logic operation to update mask
if invmask:
self.mask = mask_and(self.mask,newmask)
else:
self.mask = mask_or(self.mask,newmask)
# Plot masked regions
#if self.showmask or not self.once: self._plot_mask()
if self.showmask: self._plot_mask()
def _subplot_stats(self,selection):
statstr = ['max', 'min', 'median', 'mean', 'sum', 'std'] #'rms']
panelstr = selection['axes'].title.get_text()
ssep = "-"*70
asaplog.push(ssep)
asaplog.post()
for line in selection['axes'].lines:
# Don't include annotations
if line.get_label().startswith("_"):
continue
label = panelstr + ", "+line.get_label()
x = line.get_xdata()
newmsk = None
selmsk = self._create_flag_from_array(x,
selection['worldx'],
selection['invert'])
ydat = None
y = line.get_ydata()
if numpy.ma.isMaskedArray(y):
ydat = y.data
basemsk = y.mask
else:
ydat = y
basemsk = False
if not isinstance(basemsk, bool):
# should be ndarray
newmsk = mask_or(selmsk, basemsk)
elif basemsk:
# the whole original spectrum is flagged
newmsk = basemsk
else:
# no channel was flagged originally
newmsk = selmsk
mdata = numpy.ma.masked_array(ydat, mask=newmsk)
statval = {}
for stat in statstr:
# need to get the stat functions from the ma module!!!
statval[stat] = getattr(numpy.ma,stat)(mdata)
self._print_stats(statval, statstr=statstr, label=label,\
mask=selection['worldx'],\
unmask=selection['invert'])
asaplog.push(ssep)
asaplog.post()