fix signal residual histograms

BayesWaveUtils/scripts/megaplot.py

@@ -92,8 +92,8 @@ htmlDir   = 'html/'
 #### --fullOnly ###
 fullOnly_flag = 0
 if os.path.exists(postDir+'full'):
-  fullOnly_flag = 1
-  print("Found --fullOnly flag\n")
+    fullOnly_flag = 1
+    print("Found --fullOnly flag\n")
 
 
 #Adopt common color scheme for different models
@@ -102,7 +102,7 @@ gcolor = 'darkgoldenrod'
 scolor = 'darkorchid'
 
 ifoColors = ['darkgoldenrod','darkkhaki','darkseagreen','olive','cadetblue','green','slategray','darkcyan']
-signal_ifoColorList = ['darkorchid','indigo','orchid','slateblue','mediumvioletred','palevioletred']
+signal_ifoColorList = ['darkorchid','fuchsia','indigo','orchid','slateblue','mediumvioletred','palevioletred']
 
 injcolor = 'teal'
 
@@ -1035,13 +1035,13 @@ def plot_model_dims(modelList, ifoList, ifoNames, plotsDir, fullOnly_flag=0):
 def whitened_residual_plots(model,ifoList,ifoNames,fullOnly_flag=0):
     
     if model == 'glitch':
-        colour = gcolor
+        lineColors = ifoColors
     elif model == 'signal':
-        colour = scolor
+        lineColors = signal_ifoColorList
     elif model == 'noise':
         colour = ncolor
+        lineColors = ifoColors
     
-    lineColors = ifoColors
     hashlist = ['solid','dashed','dashdot','solid','dashed','dashdot']
 
     plt.clf()