.

physics/views.py

@@ -134,6 +134,7 @@ def exam_scores_cid(request, pk):
     user_answers = defaultdict(list)
     user_names = {}
 
+    by_question = defaultdict(list)
     unmarked = set()
 
     # Loop through all candidates
@@ -147,6 +148,7 @@ def exam_scores_cid(request, pk):
                 # skip if no answer
                 user_answers_marks[cid].append(0)
                 user_answers[cid].append("")
+                by_question[q].append(("", 0))
                 continue
 
             ans = s.get_answers()
@@ -156,6 +158,10 @@ def exam_scores_cid(request, pk):
             user_answers_marks[cid].append(answer_scores)
             user_answers_and_marks[cid].append((ans, answer_scores))
 
+            zipped_ans_scores = zip(ans, answer_scores)
+
+            by_question[q].append(zipped_ans_scores)
+
     user_scores = {}
     for user in user_answers_marks:
         user_scores[user] = sum([sum(i) for i in user_answers_marks[user]])
@@ -179,20 +185,24 @@ def exam_scores_cid(request, pk):
         fig = px.histogram(df, x=0, title="Distribution of scores", labels={"0": "Score"}, height=400, width=600)
         fig_html = fig.to_html()
 
-    total = len(questions)
+    max_score = len(questions)
 
     return render(
         request,
         "physics/exam_scores.html",
         {
+            "cids": cids,
             "exam": exam,
             "unmarked": unmarked,
             "questions": questions,
+            "by_question": by_question,
             "user_answers": dict(user_answers),
             "user_answers_marks": dict(user_answers_marks),
             "user_scores": user_scores,
+            "user_scores_list": user_scores_list,
             "user_names": user_names,
             "user_answers_and_marks": user_answers_and_marks,
+            "max_score": max_score,
             "mean": mean,
             "median": median,
             "mode": mode,