From 67d7ec410c93762bc4a7ad4535ac46417cfd4c5c Mon Sep 17 00:00:00 2001
From: omdj17 <omdj17@inf.ufpr.br>
Date: Wed, 11 Oct 2017 12:01:53 -0300
Subject: [PATCH] analises semtrais prontas
---
script/analysis/course_analysis.py | 54 ++++++++++++++++++++++++++----
1 file changed, 48 insertions(+), 6 deletions(-)
diff --git a/script/analysis/course_analysis.py b/script/analysis/course_analysis.py
index 48338d9..9511b04 100644
--- a/script/analysis/course_analysis.py
+++ b/script/analysis/course_analysis.py
@@ -1,11 +1,13 @@
# -*- coding: utf-8 -*-
import pandas as pd
+import json
import numpy as np
import utils.situations
-df = pd.read_excel("../base/base-2016-1/historico.xls")
+# df = pd.read_excel("../base/base-2016-1/historico.xls")
# imprime completamente um dataframe
+
def print_analise(d):
with pd.option_context('display.max_rows', None, 'display.max_columns', 27):
print(d)
@@ -19,9 +21,11 @@ def func(x, matr):
# quantidade de matriculas
+
def counts_matr(df):
return df.groupby(['COD_ATIV_CURRIC']).size()
+
def analysis(df):
qnt_matr = counts_matr(df) # quantidade de matriculas disciplina
# conta quantas vezes os valores de 'SIGLA' se repete para cada disciplina
@@ -29,20 +33,58 @@ def analysis(df):
).size().reset_index(name='counts')
# adiciona mais uma coluna ao df disciplina com as taxas de cada valor de 'SIGLA'
disciplina = disciplinas.groupby(['COD_ATIV_CURRIC', 'SIGLA', 'counts']).apply(
- lambda x: func(x, matr)).reset_index(name='taxas gerais')
+ lambda x: func(x, qnt_matr)).reset_index(name='taxas gerais')
+ # print(disciplina)
return disciplina
# quantidade de vezes cursadas ate obter a aprovacao
def qnt_aprov(df):
- qnt = df.groupby(['MATR_ALUNO','COD_ATIV_CURRIC']).size().reset_index(name='quantida aprov')
+ qnt = df.groupby(['MATR_ALUNO', 'COD_ATIV_CURRIC']
+ ).size().reset_index(name='qnt_aprov')
return qnt
# print(qnt)
-matr = counts_matr(df)
-analysis(df)
-qnt_aprov(df)
+def matr_semestre(df):
+ return df.groupby(['COD_ATIV_CURRIC', 'PERIODO', 'ANO']).size()
+
+
+def func_semestre(x, matr):
+ # print (matr)
+ ano = int(x['ANO'])
+ # print(ano)
+ periodo = x['PERIODO'].values[0]
+ disciplina = x['COD_ATIV_CURRIC'].values[0]
+ c = matr[disciplina,periodo,ano]
+ # break
+ # print(x['PERIODO'])
+ # print("Disciplina: %s\nPeriodo:%s \nAno:%d"%(disciplina,periodo,ano))
+ # c = matr['CI056','2']
+ # print(c)
+ # print(disciplina)
+ # print("--------------------------------------------------------------------------")
+ return (x['counts_semestre'] / c)
+
+
+def analysis_semestre(df):
+ qnt_matr_semestre = matr_semestre(df)
+ discipline_semestre = df.groupby(['COD_ATIV_CURRIC', 'PERIODO', 'ANO', 'SIGLA']).size(
+ ).reset_index(name='counts_semestre')
+ discipline_semestre = discipline_semestre.groupby(['COD_ATIV_CURRIC', 'PERIODO', 'ANO', 'SIGLA']).apply(lambda x: func_semestre(x,
+ qnt_matr_semestre)).reset_index(name='taxas_semetrais')
+
+ return discipline_semestre
+def Main(df):
+ Analysis = analysis(df)
+ Analysis_semestre = analysis_semestre(df)
+ matr = counts_matr(df)
+ matr_semes = matr_semestre(df)
+ print_analise(merged)
+# main()
+# matr = counts_matr(df)
+# analysis(df)
+# qnt_aprov(df)
#
##f = lambda x: x / c[x]
--
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