Added: Student Ranking

assets/Student_list.csv

@@ -0,0 +1,33 @@
+First Name,Last Name,Sex,Tutorial 1,Tutorial 2,Extended Applications,Numpy & MatPlotLib,SciPy,Monte Carlo,Pandas & Seaborn,Folium
+Abdalaziz,Abunjaila,Male,30.5,15,18,28,17,17,17,22
+Marleen,Adolphi,Female,29.5,15,18,32,19,0,17,24
+Aurela,Brahimi,Female,17.5,15,15.5,26,16,17,19,16
+Cam Thu,Do,Female,31,15,18,34,19,20,21.5,22
+Nova,Eib,Female,31,15,15,34,20,20,21,27
+Nele,Grundke,Female,23.5,13,16,28,20,17,21,18
+Anna,Grünewald,Female,12,14,16,29,16,15,19,9
+Yannik,Haupt,Male,18,6,14,21,13,2,9,0
+Janna,Heiny,Female,30,15,18,33,18,20,22,25
+Milena,Krieger,Female,30,15,18,33,20,20,21.5,26
+Julia,Limbach,Female,27.5,12,18,29,11,19,17.5,26
+Viktoria,Litza,Female,21.5,15,18,27,13,20,22,21
+Manthey,Leonie,Female,28.5,14,18,29,20,10,18,23
+Izabel,Mike,Female,29.5,15,15,35,11,4,19,21
+Lea,Noglik,Female,22.5,15,17,34,13,10,20,0
+Donika,Nuhiu,Female,31,13.5,18,35,14,10,17,18
+Julia,Renner,Female,27.5,10,14,0,20,17,11,20
+Fabian,Rothberger,Male,30.5,15,18,34,17,17,19,22
+Natascha,Rott,Female,29.5,12,18,32,19,20,21,26
+Isabel,Rudolf,Female,27.5,9,17,34,16,19,19,21
+Melina,Sablotny,Female,31,15,18,33,20,20,21,19
+Alea,Schleier,Female,27,14,18,34,16,18,21.5,22
+Flemming,Schur,Male,29.5,15,17,34,19,20,19,22
+Marie,Seeger,Female,27.5,15,18,32,14,9,17,22
+Lucy,Thiele,Female,27.5,15,18,27,20,17,19,18
+Lara,Troschke,Female,28.5,14,17,28,13,19,21,25
+Inga-Brit,Turschner,Female,25.5,14,18,34,20,16,19,22
+Alea,Unger,Female,30,12,18,31,20,20,21,22
+Marie,Wallbaum,Female,28.5,14,18,34,17,20,19,24
+Katharina,Walz,Female,31,15,18,31,19,19,17,24
+Xiaowei,Wang,Male,30.5,14,18,26,19,17,0,0
+Lilly-Lu,Warnken,Female,30,15,18,30,14,17,19,14

assets/convert.py

@@ -0,0 +1,42 @@
+import pandas as pd
+import pprint
+import sys 
+sys.path.append('..')
+from model import *
+
+df = pd.read_csv("Student_list.csv")
+courses = {
+        'Tutorial 1': 31,
+        'Tutorial 2': 15,
+        'Extended Applications': 18,
+        'Numpy & MatPlotLib': 35,
+        'SciPy': 20,
+        'Monte Carlo': 20,
+        'Pandas & Seaborn': 22,
+        'Folium': 27
+    }
+
+# Create Class
+clas = Class.create(name='WiSe 24/25')
+#print(clas.id)
+
+# Create Courses
+for k, v in courses.items():
+    Lecture.create(title=k, points=v, class_id=clas.id)
+    #print(l.title, l.points, l.class_id, l.id)
+
+for index, row in df.iterrows():
+    s = Student.create(
+        prename=row["First Name"],
+        surname=row["Last Name"],
+        sex=row["Sex"],
+        class_id=clas.id
+    )
+    
+    for title, points in list(row.to_dict().items())[3:]:
+        Submission.create(
+            student_id=s.id,
+            lecture_id=Lecture.select().where(Lecture.title == title),
+            points=points
+        )
+