コード例 #1
0
ファイル: calibration.py プロジェクト: BrantCarlson/spark
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
コード例 #2
0
ファイル: calibration.py プロジェクト: BrantCarlson/spark
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