From ff73b5137d51a06cbe96fc8c6a88e7f2715ecff0 Mon Sep 17 00:00:00 2001
From: odair mario <badwolves123@gmail.com>
Date: Mon, 18 Sep 2017 10:18:32 -0300
Subject: [PATCH] analises iniciais
---
script/analysis/course_analysis.py | 21 +++++++++++++++++----
1 file changed, 17 insertions(+), 4 deletions(-)
diff --git a/script/analysis/course_analysis.py b/script/analysis/course_analysis.py
index 2c994c3..a9f9ce6 100644
--- a/script/analysis/course_analysis.py
+++ b/script/analysis/course_analysis.py
@@ -1,16 +1,31 @@
# -*- coding: utf-8 -*-
-import pandas as pd
+import pandas as pd
import numpy as np
+df = pd.read_excel("../base/historico.xls")
+# imprime completamente um dataframe
def print_analise(d):
with pd.option_context('display.max_rows', None, 'display.max_columns', 27):
print(d)
+
+# calcula as taxas
+def func(x,matr):
+ c = matr[x['COD_ATIV_CURRIC']].values[0]
+ return (x['counts'] / c)
+
+#quantidade de matriculas
+def qnt_matr(df):
+ return df.groupby(['COD_ATIV_CURRIC']).size()
+
+
def analise(df):
c = df.groupby(['COD_ATIV_CURRIC']).size()
diciplinas = df.groupby(['COD_ATIV_CURRIC','SIGLA']).size().reset_index(name='counts')
- i=diciplinas.groupby(['COD_ATIV_CURRIC','SIGLA']).apply(lambda x: x['counts'] / (c[x['COD_ATIV_CURRIC']].values[0])).reset_index(name='taxas')
+ i=diciplinas.groupby(['COD_ATIV_CURRIC','SIGLA','counts']).apply(lambda x: func(x,matr)).reset_index(name='taxas gerais')
print_analise(i)
+
+matr = qnt_matr(df)
analise(df)
@@ -44,5 +59,3 @@ analise(df)
## c = lambda x: x+1
## curses = df['COD_ATIV_CURRIC'].drop_duplicates()
## 'MATR_ALUNO','
-#p
-#df = pd.read_excel("../base/historico.xls")
--
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