Startup

script/Correlation/Correlation.py

@@ -8,8 +8,8 @@ import org.apache.commons.math3.stat.correlation.PearsonsCorrelation as Pearsons
 if get_context().source == CommandSource.ui:
     #dx = "SINEG01-RLLE-REF10:SIG-PHASE-AVG"
     #dy = "SINEG01-RLLE-REF20:SIG-PHASE-AVG"     
-    dx = "SINEG01-RGUN-PUP10:SIG-AMPLT-AVG 4"
-    dy = "SINEG01-RGUN-PUP20:SIG-AMPLT-AVG 4"
+    #dx = "SINEG01-RGUN-PUP10:SIG-AMPLT-AVG 4"
+    #dy = "SINEG01-RGUN-PUP20:SIG-AMPLT-AVG 4"
 
     #dx = "SINDI01-RKLY-DCP10:REF-AMPLT"
     #dy = "SINDI01-RKLY-DCP10:REF-PHASE"
@@ -17,8 +17,12 @@ if get_context().source == CommandSource.ui:
     #dx = "SINDI01-RLLE-REF10:SIG-PHASE-AVG"
     #dy = "SINDI01-RLLE-REF20:SIG-PHASE-AVG"
 
-    #dx = "SINDI01-RLLE-STA:SLAVE1-CPUTIMER"
-    #dy = "SINDI01-RLLE-STA:SLAVE1-DLTIMER"
+    dx = "SINDI01-RLLE-STA:SLAVE1-CPUTIMER"
+    dy = "SINDI01-RLLE-STA:SLAVE1-DLTIMER"
+
+    #dx = "SINEG01-DICT215:B1_CHARGE"
+    #dy = "SINEG01-DBPM314:Q1"     
+    
     
     #dx=gsx.getReadback()
     #dy=gsy.getReadback()
@@ -26,8 +30,12 @@ if get_context().source == CommandSource.ui:
     window = 40
     p = plot(None)[0]    
     bs = True
-print dx
-print dy
+#print dx
+#print dy
+corr = None
+pars_lin = None 
+pars_quad = None
+
 
 for s in p.getAllSeries():
     p.removeSeries(s)    
@@ -99,13 +107,12 @@ try:
     sd.setLinesVisible(False)    
     
     sd.setPointSize(4)
-    
-    if globals().has_key("marker"):
-        p.removeMarker(marker)
-    
-    marker=None
-    corr = None
-    
+
+    if get_context().source == CommandSource.ui:
+        if globals().has_key("marker"):
+            p.removeMarker(marker)    
+        marker=None
+            
     
     while(True):
         #Sample and plot data
@@ -129,10 +136,11 @@ try:
                 corr= PearsonsCorrelation().correlation(to_array(ax,'d'), to_array(ay,'d'))        
                 s = "Correlation=" + str(round(corr,4))
                 #print s
-                if marker is not None: 
-                    p.removeMarker(marker)
-                marker = p.addMarker(x2+res, p.AxisId.X, s,  p.getBackground())
-                marker.setLabelPaint(STDOUT_COLOR)
+                if get_context().source == CommandSource.ui:
+                    if marker is not None: 
+                        p.removeMarker(marker)
+                    marker = p.addMarker(x2+res, p.AxisId.X, s,  p.getBackground())
+                    marker.setLabelPaint(STDOUT_COLOR)
                 
                 #Calculate, print and plot linear fit
                 pars_lin = (a0,a1) = fit_polynomial(ay, ax, 1)