added bellcurve

QuizSystem/urls.py

@@ -33,7 +33,7 @@ urlpatterns = [
              path('save_cribs/',a.save_cribs,name="savecribs"),
             path('result/',a.result,name="result"),
             url(r'^upload/',TemplateView.as_view(template_name = 'upload.html')),
-            url(r'^instructor/',TemplateView.as_view(template_name = 'instructor.html')),
+            url('instructor/',a.instructor),
             path('uploaded/',a.upload_file,name="uploaded"),  path('sign_up/',a.sign_up,name="sign-up"), path('accounts/',include('django.contrib.auth.urls')),
             path('create_quiz/',a.create_quiz)
 

quiz/views.py

@@ -13,7 +13,9 @@ from django.db.models import Max
 from django.shortcuts import redirect
 from .models import result as results
 import numpy as np
-from scipy.stats import norm
+import math
+import pandas as pd
+import scipy.stats as stats
 import csv
 #for login
 from django.contrib.auth.models import User
@@ -157,9 +159,16 @@ def instructor(request):
         allStudents.append(student['studentId'])
     std=np.std(allMarks)
     mean=np.mean(allMarks)
-    ax.scatter(allMarks,allStudents)
+    ax.hist(allMarks,allStudents)
     html_graph = mpld3.fig_to_html(fig)
-    return render(request, 'instructor.html',{"graph": html_graph, "graph1": html_graph, "graph2": html_graph,'quiz_id':q_id})
+    fig1, ax1 = plt.subplots()
+    mu = mean
+    variance = np.std(allMarks)
+    sigma = math.sqrt(variance)
+    x = np.linspace(mu - 3*sigma, mu + 3*sigma, 100)
+    ax1.plot(x, stats.norm.pdf(x, mu, sigma))
+    html_graph1 = mpld3.fig_to_html(fig1)
+    return render(request, 'instructor.html',{"graph": html_graph, "graph1": html_graph, "graph2": html_graph1,'quiz_id':q_id})
 
 
 def handle_uploaded_file(f,q1):