Add text labels for CAC (oldLabels and newLabels, default None)

src/pyWitness/DataProcessed.py

@@ -712,7 +712,7 @@ def plotROC(self, label = "ROC", relativeFrequencyScale = 800, errorType = 'bars
         # Tight layout for plot
         _plt.tight_layout()
 
-    def plotCAC(self, label = "CAC", relativeFrequencyScale = 800, errorType = 'bars', color = None) :
+    def plotCAC(self, label = "CAC", relativeFrequencyScale = 800, errorType = 'bars', color = None, oldLabels = None, newLabels = None) :
         '''
         Plot the confidence accuracy characteristic (CAC) for the data. The symbol size is proportional to 
         relative frequency. If confidence limits are calculated using calculateConfidenceBootstrap they
@@ -781,7 +781,10 @@ def plotCAC(self, label = "CAC", relativeFrequencyScale = 800, errorType = 'bars
 
             ax.set_xlim(xmin-xdif*0.1, xmax+xdif*0.1)
             ax.set_ylim(ymin-ydif*0.1, ymax+ydif*0.1)
-
+
+        if newLabels and oldLabels :
+            ax.set_xticks(oldLabels,labels=newLabels)
+
         # Tight layout for plot
         _plt.tight_layout()
 
@@ -923,4 +926,4 @@ def writePivotExcel(self, fileName, engine = 'openpyxl') :
 
         '''
 
-        self.data_pivot.to_excel(fileName, engine = engine)
+        self.data_pivot.to_excel(fileName, engine = engine)