Changed basic examples as synthax of some analysis/plotting functions have been changed already

Author: Benedikt Daurer

examples/basic/correlation.py

@@ -72,7 +72,7 @@ def onEvent(evt):
     analysis.event.printProcessingRate()
 
     # Simple hit finding (counting the number of lit pixels)
-    analysis.hitfinding.countLitPixels(evt, "photonPixelDetectors", "CCD",
+    analysis.hitfinding.countLitPixels(evt, evt["photonPixelDetectors"]["CCD"],
                                        aduThreshold=10, hitscoreThreshold=100)
 
     # Extract boolean (hit or miss)
@@ -91,4 +91,4 @@ def onEvent(evt):
 
     # Plot heat map of hitrate as function of injector position
     plotting.correlation.plotMeanMap(evt["parameters"]['injectorX'], evt["parameters"]['injectorY'],
-                                     evt["analysis"]["hitrate"].data, plotid='hitrateMeanMap', **hitmapParams)
+                                     evt["analysis"]["hitrate"].data, name='hitrateMeanMap', **hitmapParams)

examples/basic/detector.py

@@ -51,8 +51,8 @@ def onEvent(evt):
     analysis.pixel_detector.printStatistics(evt["photonPixelDetectors"])
 
     # Count Nr. of Photons
-    analysis.pixel_detector.totalNrPhotons(evt, "photonPixelDetectors", "CCD")
-    plotting.line.plotHistory(evt["analysis"]["nrPhotons - CCD"], label='Nr of photons / frame', history=50)
+    analysis.pixel_detector.totalNrPhotons(evt, evt["photonPixelDetectors"]["CCD"], outkey="nrPhotons")
+    plotting.line.plotHistory(evt["analysis"]["nrPhotons"], label='Nr of photons / frame', history=50)
 
     # Detector histogram
     plotting.line.plotHistogram(evt["photonPixelDetectors"]["CCD"], **histogramCCD)

examples/basic/hitfinding.py

@@ -41,7 +41,7 @@ def onEvent(evt):
     analysis.event.printProcessingRate()
 
     # Simple hit finding (counting the number of lit pixels)
-    analysis.hitfinding.countLitPixels(evt, "photonPixelDetectors", "CCD", aduThreshold=10, hitscoreThreshold=100)
+    analysis.hitfinding.countLitPixels(evt, evt["photonPixelDetectors"]["CCD"], aduThreshold=10, hitscoreThreshold=100)
 
     # Extract boolean (hit or miss)
     hit = evt["analysis"]["isHit"].data