From e1bbb12fbdcaa5c108ca6e6fe3c2cf2c4b604f37 Mon Sep 17 00:00:00 2001
From: Bruno Meyer <buba.meyer_@hotmail.com>
Date: Sun, 1 Oct 2017 15:14:13 -0300
Subject: [PATCH] aluno_turmas
---
script/analysis/student_analysis.py | 63 +++++++++++++++++++++++++++++
script/base/dataframe_base.py | 11 +----
script/build_cache.py | 6 ++-
3 files changed, 68 insertions(+), 12 deletions(-)
diff --git a/script/analysis/student_analysis.py b/script/analysis/student_analysis.py
index e69de29..326e5bc 100644
--- a/script/analysis/student_analysis.py
+++ b/script/analysis/student_analysis.py
@@ -0,0 +1,63 @@
+import pandas as pd
+from utils.situations import *
+
+def average_ira(d):
+ temp = d.dropna(subset=['MEDIA_FINAL'])
+ temp = temp[temp['MEDIA_FINAL'] <= 100]
+ if not temp.empty:
+ #print(temp[['MEDIA_FINAL', 'CH_TOTAL']])
+ aux = np.sum(temp['MEDIA_FINAL']*temp['CH_TOTAL'])
+ ch_total = np.sum(temp['CH_TOTAL']) * 100
+ print(aux/ch_total)
+
+def aluno_turmas(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] = []
+
+ for s in Situation.SITUATIONS:
+ if(s[0] == df["SITUACAO"][i]):
+ situacao = s[1]
+ break
+ ano = (df["ANO"][i])
+ codigo = (df["COD_ATIV_CURRIC"][i])
+ nome = (df["NOME_ATIV_CURRIC"][i])
+ nota = (df["MEDIA_FINAL"][i])
+ semestre = (df["PERIODO"][i])
+
+ students[matr].append({
+ "ano": ano,
+ "codigo": codigo,
+ "nome": nome,
+ "nota": nota,
+ "semestre": semestre,
+ "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("")
diff --git a/script/base/dataframe_base.py b/script/base/dataframe_base.py
index e831819..39c056f 100644
--- a/script/base/dataframe_base.py
+++ b/script/base/dataframe_base.py
@@ -8,15 +8,6 @@ from json import load as json_load
from utils.situations import *
-def teste(d):
- temp = d.dropna(subset=['MEDIA_FINAL'])
- temp = temp[temp['MEDIA_FINAL'] <= 100]
- if not temp.empty:
- #print(temp[['MEDIA_FINAL', 'CH_TOTAL']])
- aux = np.sum(temp['MEDIA_FINAL']*temp['CH_TOTAL'])
- ch_total = np.sum(temp['CH_TOTAL']) * 100
- print(aux/ch_total)
-
class DataframeHolder:
def __init__(self, dataframe):
self.students = dataframe.groupby('MATR_ALUNO')
@@ -111,4 +102,4 @@ def fix_evasion(df):
#~ if(x != 0.0):
#~ print(x)
#~ print(df.FORMA_EVASAO.str.contains(evasion[1]).fillna(5))
- print(df[['MATR_ALUNO','FORMA_EVASAO']])
+ #~ print(df[['MATR_ALUNO','FORMA_EVASAO']])
diff --git a/script/build_cache.py b/script/build_cache.py
index 50ef82d..4f35839 100644
--- a/script/build_cache.py
+++ b/script/build_cache.py
@@ -7,6 +7,7 @@ from datetime import timedelta
from pathlib import Path
from utils.utils import build_path
from analysis.degree_analysis import *
+from analysis.student_analysis import *
try:
to_unicode = unicode
@@ -22,7 +23,7 @@ def build_cache(dataframe):
build_path(path)
# generate_degree_data(path, dataframe)
-# generate_student_data(path)
+ generate_student_data(path,dataframe)
# generate_student_list(path)
# generate_admission_data(path)
# generate_admission_list(path)
@@ -35,7 +36,8 @@ def generate_degree_data(path, dataframe):
general_ira(dataframe)
pass
-def generate_student_data(path):
+def generate_student_data(path,dataframe):
+ aluno_turmas(dataframe)
pass
def generate_student_list(path):
--
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