indice_aprovacao_semestral

script/analysis/student_analysis.py

@@ -10,6 +10,32 @@ def average_ira(d):
         ch_total = np.sum(temp['CH_TOTAL']) * 100
         print(aux/ch_total)
 
+def indice_aprovacao_semestral(df):
+	students = {}
+	df = df.dropna(subset=['MEDIA_FINAL'])
+	total_students = len(df["MATR_ALUNO"])
+	for i in range(total_students):
+		matr = (df["MATR_ALUNO"][i])
+		if(not (matr in students)):
+			students[matr] = {}
+		
+		
+		ano = str(df["ANO"][i])
+		semestre = str(df["PERIODO"][i])
+		situacao = int(df["SITUACAO"][i])
+		
+		
+		if not(ano+"/"+semestre in students[matr]):
+			students[matr][ano+"/"+semestre] = [0,0]
+		
+		if(situacao in Situation.SITUATION_PASS):
+			students[matr][ano+"/"+semestre][0]+=1
+			students[matr][ano+"/"+semestre][1]+=1
+		if(situacao in Situation.SITUATION_FAIL):
+			students[matr][ano+"/"+semestre][1]+=1
+	print(students)
+		
+
 def aluno_turmas(df):
 	students = {}
 	df = df.dropna(subset=['MEDIA_FINAL'])
@@ -38,26 +64,3 @@ def aluno_turmas(df):
 			"situacao": situacao
 		})
 	print(students)
-	#~ lines = (df[["MATR_ALUNO","ANO","COD_ATIV_CURRIC","NOME_ATIV_CURRIC","MEDIA_FINAL","PERIODO","SITUACAO"]])
-	#~ for st in (df.groupby("MATR_ALUNO")):
-		#~ print(st[1]["MATR_ALUNO"])
-		#~ print(st[1]["ANO"])
-		#~ print(st[1]["COD_ATIV_CURRIC"])
-		#~ print(st[1]["NOME_ATIV_CURRIC"])
-		#~ print(st[1]["MEDIA_FINAL"])
-		#~ print(st[1]["PERIODO"])
-		#~ print(st[1]["SITUACAO"])
-		#~ print("")
-	#~ total_student = df['MATR_ALUNO'].drop_duplicates()
-	#~ for st in total_student:
-		#~ students[st] = []
-		#~ hist = df[df["MATR_ALUNO"]==st]
-		#~ for matr in hist:
-			#~ print(hist["ANO"])
-			#~ print(hist[matr]["COD_ATIV_CURRIC"])
-			#~ print(hist[matr]["NOME_ATIV_CURRIC"])
-			#~ print(hist[matr]["MEDIA_FINAL"])
-			#~ print(hist[matr]["PERIODO"])
-			#~ print(hist[matr]["SITUACAO"])
-			#~ print(hist[matr])
-			#~ print("")

script/build_cache.py

@@ -37,7 +37,8 @@ def generate_degree_data(path, dataframe):
     pass
 
 def generate_student_data(path,dataframe):
-    aluno_turmas(dataframe)
+    #~ aluno_turmas(dataframe)
+    indice_aprovacao_semestral(dataframe)
     pass
 
 def generate_student_list(path):