diff --git a/processor/DldFlashDataframeCreator.py b/processor/DldFlashDataframeCreator.py
index 1494bc5..64f78b9 100644
--- a/processor/DldFlashDataframeCreator.py
+++ b/processor/DldFlashDataframeCreator.py
@@ -486,10 +486,13 @@ def createDataframePerElectronRange(self, mbIndexStart, mbIndexEnd):
             colNames.append('gmdBda')
 
         if 'monochromatorPhotonEnergy' in self.daqAddresses:
-            monochromatorPhotonEnergyArray = assignToMircobunch(
-                self.dldMicrobunchId[mbIndexStart:mbIndexEnd, :].astype(np.float64),
-                self.monochromatorPhotonEnergy[mbIndexStart:mbIndexEnd, :].astype(np.float64))
-            daMonochromatorPhotonEnergy = monochromatorPhotonEnergyArray.flatten()
+            # monochromatorPhotonEnergyArray = assignToMircobunch(
+            #     self.dldMicrobunchId[mbIndexStart:mbIndexEnd, :].astype(np.float64),
+            #     self.monochromatorPhotonEnergy[mbIndexStart:mbIndexEnd, :].astype(np.float64))
+            # daMonochromatorPhotonEnergy = monochromatorPhotonEnergyArray.flatten()
+            monochromatorPhotonEnergyArray = np.zeros_like(self.dldMicrobunchId[mbIndexStart:mbIndexEnd, :])
+            monochromatorPhotonEnergyArray[:, :] = (self.monochromatorPhotonEnergyArray[mbIndexStart:mbIndexEnd])[:, None]
+            daMonochromatorPhotonEnergy = delayStageArray.flatten()
             arrayCols.append(daMonochromatorPhotonEnergy)
             colNames.append('monochromatorPhotonEnergy')
 
diff --git a/processor/DldProcessor.py b/processor/DldProcessor.py
index 96a23f3..1174918 100644
--- a/processor/DldProcessor.py
+++ b/processor/DldProcessor.py
@@ -12,7 +12,7 @@
 import h5py
 import numpy as np
 import pandas as pd
-from tqdm import tqdm, tqdm_notebook
+from tqdm.auto import tqdm
 from configparser import ConfigParser
 from processor.utilities import misc, io, dfops
 # warnings.resetwarnings()
@@ -1210,7 +1210,7 @@ def analyzePartNumpy(part):
         with warnings.catch_warnings():
             warnings.simplefilter(warnString)
 
-            for i in tqdm_notebook(range(0, self.dd.npartitions, self.N_CORES),disable=not usePbar):
+            for i in tqdm(range(0, self.dd.npartitions, self.N_CORES),disable=not usePbar):
                 resultsToCalculate = []
                 # process the data in blocks of n partitions (given by the number
                 # of cores):