def padLC(self, **kwargs):
"""
Pads missing cadences with ones.
Returns the padded lightcurve.
FlagIDs must corresepond to input lcData indices
i.e. indices of the array from the pipline
"""
# Default = pads either all eclipse data and all outliers (maske=='true'),
# or pads all outliers (maske=='false')
FlagIDs = []
for key in kwargs:
if key.lower() == "flagids":
FlagIDs = kwargs[key]
if (len(FlagIDs) > 0) & (self.maske == "true"):
print "have both flagids and maske==true, maske is overridden"
# the eclipse lightcurve data are the best place to start
if len(FlagIDs) > 0:
x, y, yerr, cad = returnData(self.lcData, "all")
if len(x) - 1 < max(FlagIDs):
raise NameError("len(x) < max(FlagIds) " + str(len(x)) + " < " + str(max(FlagIDs)))
x = x[FlagIDs]
y = y[FlagIDs]
yerr = yerr[FlagIDs]
cad = cad[FlagIDs]
elif self.maske.lower() == "false":
x, y, yerr, cad = returnData(self.lcData, "elc")
elif self.maske.lower() == "true": # if true, masks all eclipses in database
x, y, yerr, cad = returnData(self.lcData, "flat")
# x,y,yerr,cad = returnData(self.lcData,'all')
# idx = num.where(((self.lcData['eMask'] == False) & (self.lcData['OKMask'] == False)))[0]
# x = x[idx]
# y = y[idx]
# yerr = yerr[idx]
# cad = cad[idx]
else:
print "Dont recognize your maske keyword, assuming you want to mask eclipses"
x, y, yerr, cad = returnData(self.lcData, "flat")
x0 = min(x)
x1 = max(x)
c0 = min(cad)
c1 = max(cad)
dx = num.median(x[1L : len(x)] - x[0L : len(x) - 1])
def padLC(self,**kwargs):
"""
Pads missing cadences with ones.
Returns the padded lightcurve.
FlagIDs must corresepond to input lcData indices
i.e. indices of the array from the pipline
"""
#Default = no flaged points
FlagIDs = []
for key in kwargs:
if key.lower() == 'flagids':
FlagIDs = kwargs[key]
# the eclipse lightcurve data are the best place to start
if len(FlagIDs) > 0:
x,y,yerr,cad = returnData(self.lcData,'all')
if len(x)-1 < max(FlagIDs):
raise NameError("len(x) < max(FlagIds) "+\
str(len(x))+" < "+str(max(FlagIDs)) )
x = x[FlagIDs]
y = y[FlagIDs]
yerr = yerr[FlagIDs]
cad = cad[FlagIDs]
else:
x,y,yerr,cad = returnData(self.lcData,'elc')
pass
x0 = min(x)
x1 = max(x)
c0 = min(cad)
c1 = max(cad)
dx = num.median(x[1L:len(x)]\
-x[0L:len(x)-1])
def padLC(self, **kwargs):
"""
Pads missing cadences with ones.
Returns the padded lightcurve.
FlagIDs must corresepond to input lcData indices
i.e. indices of the array from the pipline
"""
#Default = no flaged points
FlagIDs = []
for key in kwargs:
if key.lower() == 'flagids':
FlagIDs = kwargs[key]
# the eclipse lightcurve data are the best place to start
if len(FlagIDs) > 0:
x, y, yerr, cad = returnData(self.lcData, 'all')
if len(x) - 1 < max(FlagIDs):
raise NameError("len(x) < max(FlagIds) "+\
str(len(x))+" < "+str(max(FlagIDs)) )
x = x[FlagIDs]
y = y[FlagIDs]
yerr = yerr[FlagIDs]
cad = cad[FlagIDs]
else:
x, y, yerr, cad = returnData(self.lcData, 'elc')
pass
x0 = min(x)
x1 = max(x)
c0 = min(cad)
c1 = max(cad)
dx = num.median(x[1L:len(x)]\
-x[0L:len(x)-1])
