Added Screenshot of output for example 10

10_Redispatch/example10.py

@@ -14,7 +14,7 @@ total_bottleneck_minutes = df["totalBottleneckMinutes"].sum()
 print("Total amount of bottleneck minutes over all communes: ", total_bottleneck_minutes)
 
 # Get the relative amount of Bottleneck minutes compared to the total amount
-df["relativeBottleneckMinutes"] = df["totalBottleneckMinutes"] / total_bottleneck_minutes
+df["relativeBottleneckToTotal"] = df["totalBottleneckMinutes"] / total_bottleneck_minutes
 
 # output the top ten highest bottlenecks
 df_top_ten = df.sort_values("totalBottleneckMinutes", ascending=False, ignore_index=True).take(range(10))