def detCrossCal(df,var,baseDet='UB1',allowedDets=goodDets):
"""
Cross correlate each detector to the signal from UB1.
Takes a ...H or ...S data frame, returns a data frame with calibration fit
results data, indexed by the detector name.
"""
df = df[var] # subset now only has all detector data for this variable.
dets = [x for x in np.unique(df.columns.values) if x in allowedDets]
calData = pd.concat([st.findCorr(df,None,det,baseDet,False) for det in dets])
calData = calData.set_index('det1')
calData.calVar = var # note: not Pandas, just using the object to store extra info.
return calData
def meanCrossCal(df,var,allowedDets=goodDets):
"""
Cross correlate each detector to the mean of all detectors.
Takes a ...H or ...S data frame, returns a data frame with calibration fit
results data, indexed by the detector name.
"""
df = df[var] # subset now only has all detector data for this variable.
dets = [x for x in np.unique(df.columns.values) if x in allowedDets]
mcol = 'm%s'%var
df[mcol] = df.mean(axis=1) # mean of rows
calData = pd.concat([st.findCorr(df,None,det,mcol,False) for det in dets])
calData = calData.set_index('det1')
calData.calVar = var # note: not Pandas, just using the object to store extra info.
return calData
