changed units in the dataframes(ADU)

hp4155/ADU/ADU_interface.ipynb

@@ -9,7 +9,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "91b007d1c3f34b39b4bc4d4fc430fcbf",
+       "model_id": "3e2d3d3b5277494f85271c692e649ebc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -23,7 +23,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a989b58d9fa44eb0827c087afd0c5efe",
+       "model_id": "2f2b9a689ac64957add1c74440771c10",
        "version_major": 2,
        "version_minor": 0
       },
@@ -44,7 +44,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5fb4ecee398f4c0ebff2e7b679b525fe",
+       "model_id": "1831791853fb48518c181250f896455b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -65,7 +65,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6a08c9595e524587a810c29bb75c713e",
+       "model_id": "7a1a2ec17ed748459605d0f825114470",
        "version_major": 2,
        "version_minor": 0
       },
@@ -86,7 +86,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fde2af87a1934f37b1ec1d7bf43a2dff",
+       "model_id": "589693bccaf84ff1b7a20daf6d9a8b60",
        "version_major": 2,
        "version_minor": 0
       },
@@ -100,7 +100,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1f8f0870133d44468fd31fa1ab9434cf",
+       "model_id": "6d8bbd4db846424787ee5f74e19ea1b3",
        "version_major": 2,
        "version_minor": 0
       },

hp4155/ADU/ADU_version_2.py

@@ -139,14 +139,14 @@ def on_start_clicked(b):
                 Ig = np.array(Igmm)/normalization_factor(width)
                 gm_S = np.array(gm)/normalization_factor(width)
                 #plot results
-                clear_output()
+                #clear_output()
                 plot_transfer(Vgs,Idmm,gm,points,norm_unit)
                 #save results
                 if norm_unit =='mA/mm':   
-                    header=['VGS(V)','VDS(V)','IDmm(mA/mm)',"IGmm(mA/mm)",'gm(mS/mm)',"ABS(IDmm)(mA/mm)","ABS(IGmm)(mA/mm)","ID(A)","IG(A)","gm(S)"]
+                    header=['VGS/V','VDS/V','ID/A',"IG/A",'gm/S',"IDmm/mA/mm","IGmm/mA/mm","gm/mS/mm"]
                 else:
-                    header=['VGS(V)','VDS(V)','IDmm(uA/um)',"IGmm(uA/um)",'gm(uS/um)',"ABS(IDmm)(uA/um)","ABS(IGmm)(uA/um)","ID(A)","IG(A)","gm(S)"]
-                data = {header[0]:Vgs,header[1]:Vds,header[2]:Idmm,header[3]:Igmm,header[4]:gm,header[5]:np.abs(Idmm),header[6]:np.abs(Igmm),header[7]:Id,header[8]:Ig,header[9]:gm_S}
+                    header=['VGS/V','VDS/V','ID/A',"IG/A",'gm/S',"IDmm/uA/um","IGmm/uA/um","gm/uS/um"]
+                data = {header[0]:Vgs,header[1]:Vds,header[2]:Id,header[3]:Ig,header[4]:gm_S,header[5]:Idmm,header[6]:Igmm,header[7]:gm}
                 df = pd.DataFrame(data)
 
                 #write to file
@@ -203,15 +203,15 @@ def on_start_clicked(b):
                 Id = np.array(Idmm)/normalization_factor(width)
                 Ig = np.array(Igmm)/normalization_factor(width)
                 #plot results
-                clear_output()
+                #clear_output()
                 plot_output(Vds,Idmm,Igmm,points,norm_unit)
 
                 #save results
                 if norm_unit == 'mA/mm':
-                    header=['VGS(V)','VDS(V)','IDmm(mA/mm)',"IGmm(mA/mm)","ABS(IDmm)(mA/mm)","ABS(IGmm)(mA/mm)","ID(A)","IG(A)"]
+                    header=['VGS/V','VDS/V',"ID/A","IG/A",'IDmm/mA/mm',"IGmm/mA/mm"]
                 else:
-                    header=['VGS(V)','VDS(V)','IDmm(uA/um)',"IGmm(uA/um)","ABS(IDmm)(uA/um)","ABS(IGmm)(uA/um)","ID(A)","IG(A)"]
-                data = {header[0]:Vgs,header[1]:Vds,header[2]:Idmm,header[3]:Igmm,header[4]:np.abs(Idmm),header[5]:np.abs(Igmm),header[6]:Id,header[7]:Ig}
+                    header=['VGS/V','VDS/V',"ID/A","IG/A",'IDmm/uA/um',"IGmm/uA/um"]
+                data = {header[0]:Vgs,header[1]:Vds,header[2]:Id,header[3]:Ig,header[4]:Idmm,header[5]:Igmm}
                 df = pd.DataFrame(data)
 
                 #write to file
@@ -248,15 +248,15 @@ def on_start_clicked(b):
                 #execute measurement
                 Vgs,Igmm,ABSIgmm=Gatediode(smu1,smu3,smu4,integration_gatediode.value,norm,device)
                 Ig = np.array(Igmm)/normalization_factor(width)
-                clear_output()
+                #clear_output()
                 plot_gatediode(Vgs,Igmm,norm_unit)
 
                 #save results
                 if norm_unit == 'mA/mm':
-                    header=['VGS(V)','IGmm(mA/mm)',"ABS(IGmm)(mA/mm)",'IG(A)']
+                    header=['VGS/V','IG/A','IGmm/mA/mm']
                 else:
-                    header=['VGS(V)','IGmm(uA/um)',"ABS(IGmm)(uA/um)",'IG(A)']
-                data = {header[0]:Vgs,header[1]:Igmm,header[2]:ABSIgmm,header[3]:Ig}
+                    header=['VGS/V','IG/A','IGmm/uA/um']
+                data = {header[0]:Vgs,header[1]:Ig,header[2]:Igmm}
                 df = pd.DataFrame(data)
 
                 filename =f"{sample['sample'].value}_{sample['field'].value}_{sample['device'].value}_D.txt"