From be97363ce99d19af1154ce736e4997e1a7a5d3a3 Mon Sep 17 00:00:00 2001
From: Bruno Meyer <buba.meyer_@hotmail.com>
Date: Thu, 25 Jan 2018 15:31:48 -0200
Subject: [PATCH] ira por carga horaria
---
script/analysis/admission_analysis.py | 124 --------------------------
script/analysis/student_analysis.py | 17 ++--
2 files changed, 10 insertions(+), 131 deletions(-)
diff --git a/script/analysis/admission_analysis.py b/script/analysis/admission_analysis.py
index 526c4cd..bc85e61 100644
--- a/script/analysis/admission_analysis.py
+++ b/script/analysis/admission_analysis.py
@@ -12,127 +12,3 @@ def listagem_turma_ingresso(df):
print(t)
print("\n\n")
print(df["FORMA_INGRESSO"][grupos[t]].drop_duplicates())
-
-def listagem_alunos_ativos(df):
- return list(df["MATR_ALUNO"][df["FORMA_EVASAO"] == EvasionForm.EF_ATIVO].drop_duplicates())
-
-
-
-
-def posicao_turmaIngresso_semestral(df):
- iras = ira_semestral(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 = {}
- for x in aux:
- students[x[0][0]] = (ANO_ATUAL - int(x[0][1])) * 2 + SEMESTRE_ATUAL - int(x[0][2]) + 1
- return students
-
-
-def ira_semestral(df):
- aux = ira_por_quantidade_disciplinas(df)
- for matr in aux:
- for periodo in aux[matr]:
- aux[matr][periodo] = aux[matr][periodo][0]
- return aux
-
-
-def ira_por_quantidade_disciplinas(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(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 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):
- students[matr][periodo][0] /= students[matr][periodo][1] * 100
- return (students)
-
-
-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(int(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
- return (students)
-
-
-def aluno_turmas(df):
- students = {}
- df = df.dropna(subset=['MEDIA_FINAL'])
-
- situations = dict(Situation.SITUATIONS)
-
- for matr, hist in df.groupby('MATR_ALUNO'):
- students[matr] = []
-
- for _, row in hist.iterrows():
- data = {
- 'ano': str(int(row["ANO"])),
- 'codigo': row["COD_ATIV_CURRIC"],
- 'nome': row["NOME_ATIV_CURRIC"],
- 'nota': row["MEDIA_FINAL"],
- 'semestre': row["PERIODO"],
- 'situacao': situations.get(row["SITUACAO"], Situation.SIT_OUTROS)
- }
-
- students[matr].append(data)
-
- return students
diff --git a/script/analysis/student_analysis.py b/script/analysis/student_analysis.py
index 259dd95..cf28afb 100644
--- a/script/analysis/student_analysis.py
+++ b/script/analysis/student_analysis.py
@@ -59,7 +59,7 @@ def ira_por_quantidade_disciplinas(df):
total_students = len(df["MATR_ALUNO"])
for i in range(total_students):
- matr = (df["MATR_ALUNO"][i])
+ matr = df["MATR_ALUNO"][i]
if (not (matr in students)):
students[matr] = {}
@@ -67,19 +67,22 @@ def ira_por_quantidade_disciplinas(df):
semestre = str(df["PERIODO"][i])
situacao = int(df["SITUACAO"][i])
nota = float(df["MEDIA_FINAL"][i])
+ carga = float(df["CH_TOTAL"][i])
media_credito = int(df["MEDIA_CREDITO"][i])
-
+
+
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] = [0, 0, 0]
+
+ students[matr][ano + "/" + semestre][0] += nota*carga
students[matr][ano + "/" + semestre][1] += 1
+ students[matr][ano + "/" + semestre][2] += carga
for matr in students:
for periodo in students[matr]:
- if (students[matr][periodo][1] != 0):
- students[matr][periodo][0] /= students[matr][periodo][1] * 100
+ if (students[matr][periodo][2] != 0):
+ students[matr][periodo][0] /= students[matr][periodo][2] * 100
return (students)
--
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