posicao_turmaIngresso_semestral

script/analysis/student_analysis.py

@@ -2,8 +2,8 @@ import pandas as pd
 from utils.situations import *
 
 
-ANO_ATUAL = 2018
-SEMESTRE_ATUAL = 1
+ANO_ATUAL = 2017
+SEMESTRE_ATUAL = 2
 
 def average_ira(d):
     temp = d.dropna(subset=['MEDIA_FINAL'])
@@ -14,6 +14,29 @@ def average_ira(d):
         ch_total = np.sum(temp['CH_TOTAL']) * 100
         return(aux/ch_total)
 
+def posicao_turmaIngresso_semestral(df):
+	iras = ira_semestra(df)
+	iraMax = {}
+	for matr in iras:
+		for semestreAno in iras[matr]:
+			if not(semestreAno in iraMax):
+				iraMax[semestreAno] = iras[matr][semestreAno]
+			else:
+				if(iras[matr][semestreAno] > iraMax[semestreAno]):
+					iraMax[semestreAno] = iras[matr][semestreAno]
+	for matr in iras:
+		for semestreAno in iras[matr]:
+			iras[matr][semestreAno]/=iraMax[semestreAno]
+	
+	return iras
+
+def periodo_real(df):
+	aux = df.groupby(["MATR_ALUNO"])
+	students = {}
+	for x in aux:
+		students[x[0]] = None
+	return students
+
 def periodo_pretendido(df):
 	aux = df.groupby(["MATR_ALUNO","ANO_INGRESSO","SEMESTRE_INGRESSO"])
 	students = {}
@@ -31,7 +54,13 @@ def ira_semestra(df):
 
 def ira_por_quantidade_disciplinas(df):
 	students = {}
-	df = df.dropna(subset=['MEDIA_FINAL'])
+	df = df.dropna(subset=["MEDIA_FINAL"])
+	#~ print(df["MATR_ALUNO"][178])
+	#~ print(df["NOME_ATIV_CURRIC"][178])
+	#~ print(df["PERIODO"][178])
+	#~ print(df["ANO"][178])
+	#~ print(df["SITUACAO"][178])
+	
 	total_students = len(df["MATR_ALUNO"])
 	for i in range(total_students):
 		matr = (df["MATR_ALUNO"][i])
@@ -39,20 +68,24 @@ def ira_por_quantidade_disciplinas(df):
 			students[matr] = {}
 		
 		
+		
 		ano = str(int(df["ANO"][i]))
 		semestre = str(df["PERIODO"][i])
 		situacao = int(df["SITUACAO"][i])
 		nota = float(df["MEDIA_FINAL"][i])
+		media_credito = int(df["MEDIA_CREDITO"][i])
 		
 		
-		
-		
-		if(situacao in Situation.SITUATION_AFFECT_IRA):
+		if(situacao in Situation.SITUATION_AFFECT_IRA and media_credito != 0):
+			
+			
+			
 			if not(ano+"/"+semestre in students[matr]):
 				students[matr][ano+"/"+semestre] = [0,0]
 			students[matr][ano+"/"+semestre][0]+=nota
 			students[matr][ano+"/"+semestre][1]+=1
-	
+			
+			
 	for matr in students:
 		for periodo in students[matr]:
 			if(students[matr][periodo][1] != 0):

script/build_cache.py

@@ -39,13 +39,15 @@ def generate_degree_data(path, dataframe):
 def generate_student_data(path,dataframe):
     #~ print(aluno_turmas(dataframe))
     #~ print(indice_aprovacao_semestral(dataframe))
-    #~ print(ira_por_quantidade_disciplinas(dataframe))
-    #~ print(ira_semestra(dataframe))
+    #~ print("2007/1" in ira_por_quantidade_disciplinas(dataframe)["GRR20066955"])
+    #~ print(ira_semestra(dataframe)["GRR20079775"])
     #~ aluno_turmas(dataframe)
     #~ indice_aprovacao_semestral(dataframe)
     #~ ira_por_quantidade_disciplinas(dataframe)
     #~ ira_semestra(dataframe)
-    periodo_pretendido(dataframe)
+    #~ periodo_pretendido(dataframe)
+    #~ print(periodo_real(dataframe))
+    print(posicao_turmaIngresso_semestral(dataframe))
     pass
 
 def generate_student_list(path):