Correction of plotting mistake

.gitignore

@@ -3,8 +3,7 @@ Dump/
 
 # Don't track the following files
 Input.nc
-Input_old.nc
-Input_master.nc
+Input_development.nc
 Readme.md
 
 # Don't track all files with these endings:

Plots.py

@@ -1057,16 +1057,20 @@ def MusicalClassified(Time,HTime,Reference,Source,Storms,Class_Proba,Class,Kp_al
     fig2.subplots_adjust(bottom=0.06,top=0.9,left=0.115,right=0.99,hspace=0.00,wspace=0.00)
 
     ClassPositive = np.where(Class==1)[0]
+    ClassNegative = np.where(Class==0)[0]
     nPos, binsPos = np.histogram(HTime[Storms[ClassPositive],4],np.arange(1900,2017,1))
-    nNeg, binsNeg = np.histogram(HTime[Storms[~ClassPositive],4],np.arange(1900,2017,1))
+    nNeg, binsNeg = np.histogram(HTime[Storms[ClassNegative],4],np.arange(1900,2017,1))
 
     Training = np.where(Reference[:,2]==1)[0]
     ClassPositiveRef = np.where(Reference[Training,0]==1)[0]
-    nPosRef, binsRef = np.histogram(HTime[Reference[Training[ClassPositiveRef],1]],np.arange(1900,2017,1))
-    nNegRef, binsRef = np.histogram(HTime[Reference[Training[~ClassPositiveRef],1]],np.arange(1900,2017,1))
+    ClassNegativeRef = np.where(Reference[Training,0]==0)[0]
+    nPosRef, binsRef = np.histogram(HTime[Reference[Training[ClassPositiveRef],1],4],np.arange(1900,2017,1))
+    nNegRef, binsRef = np.histogram(HTime[Reference[Training[ClassNegativeRef],1],4],np.arange(1900,2017,1))
     axs2b=axs2.twinx()
     axs2b.invert_yaxis()
-    
+
+    #print(np.sum(nPosRef+nNegRef)*100/np.sum(nPos[95:]+nNeg[95:]))
+    #print(np.sum(nPosRef+nNegRef)*100/np.sum(nPos+nNeg))
     axs2.bar(binsPos[0:-1],height=nPosRef,width=1,align='edge',color='maroon',edgecolor='None',alpha=0.5,label='Training ICMEs',zorder=0)
     axs2.bar(binsPos[0:-1],height=nPos,width=1,align='edge',color='None',edgecolor='maroon',linewidth=1,label='Predicted ICMEs',zorder=1)
     #axs2.bar(binsPos[0:-1],height=nNegRef,width=1,bottom=nPosRef,align='edge',color='midnightblue',edgecolor='None',alpha=0.5,label='Training C/SIRs',zorder=0)