Productive day

graphics/plots/temperature/global_diffs/createcsv.py

@@ -18,7 +18,7 @@ df = pd.DataFrame(data)
 df['BER'] = df['BER'].apply(lambda x: '{:.10f}'.format(x))
 
 # Save to CSV
-file_path = "sorted_configurations_with_diff.csv"
+file_path = "sorted_configurations_with_diff_header.csv"
 df.to_csv(file_path, index=False)
 
 file_path

graphics/plots/temperature/global_diffs/global_diffs.typ

@@ -32,7 +32,7 @@
     y-format: formatter,
     y-tick-step: 0.5,
     axis-style: "scientific-auto",
-    size: (16,8),
+    size: (16,6),
     plot.add(errorrate, axes: ("x", "y"), style: (stroke: (paint: red))),
     plot.add-hline(1)
   )
@@ -41,7 +41,7 @@
     y2-label: "Temperature difference",
     y2-tick-step: 10,
     axis-style: "scientific-auto",
-    size: (16,8),
+    size: (16,6),
     plot.add(diff, axes: ("x1","y2")),
   )
 })

graphics/plots/temperature/global_diffs/sorted_configurations_with_diff_header.csv

@@ -0,0 +1,37 @@
+config,BER,diff
+35 35,0.0000290000,0
+25 25,0.0000360000,0
+35 45,0.0000480000,10
+5 5,0.0000480000,0
+45 45,0.0000540000,0
+25 35,0.0000610000,10
+55 55,0.0000740000,0
+45 55,0.0000790000,10
+25 15,0.0000790000,10
+45 35,0.0000880000,10
+55 45,0.0000920000,10
+15 15,0.0000930000,0
+35 25,0.0000980000,10
+35 15,0.0001070000,20
+5 15,0.0001190000,10
+15 5,0.0001300000,10
+25 5,0.0001530000,20
+15 25,0.0001570000,10
+15 35,0.0001950000,20
+55 35,0.0002340000,20
+45 25,0.0002390000,20
+5 25,0.0002520000,20
+35 55,0.0003260000,20
+25 45,0.0003540000,20
+35 5,0.0007120000,30
+45 15,0.0011030000,30
+55 25,0.0011090000,30
+5 35,0.0012320000,30
+15 45,0.0013870000,30
+25 55,0.0014930000,30
+45 5,0.0032300000,40
+55 15,0.0038480000,40
+5 45,0.0046050000,40
+15 55,0.0050040000,40
+55 5,0.0088830000,50
+5 55,0.0105450000,50