Commit 21322fed by msrr18 💫

### termineir mas nao funciona

parent 2d4d5130
Pipeline #18320 failed with stage
 ... ... @@ -8,6 +8,8 @@ from script.utils.situations import * fails_by_course = [10] # used at: student_three_fails_course fails_by_semester = [6, 10] # used at: n_fails_semester fails_by_freq = [1, 2, 3] # used at: n_fails_by_freq pp = pprint.PrettyPrinter(indent=4) ... ... @@ -76,7 +78,6 @@ def student_fails_course(df): def n_fails_semester (df): """ Lists of students that failed X, Y, Z ... courses in the same semester. X, Y, Z ... are declared in the list "fails_by_semester" at the top. ... ... @@ -147,3 +148,48 @@ def n_fails_semester (df): # pp.pprint (final_dict) return final_dict def n_fails_by_freq(df): """ Lists of students that failed a course X, Y, Z ... times, all of them by lack of frequency! X, Y, Z ... are declared in the list "fails_by_freq" at the top. This function is inspired by CEPE 96/15 ART.4: Students will be categorize with insuficient academic rendimento when failing 2 times a course First this function filters students who are still registrered in the University and have failed courses by lack of frequenecy. Then for each n in fails_by_freq, filters if a course repeat n times for a student Parameters ---------- df : DataFrame Returns ------- dict of {int: dict} final_dict={ "X": {student: course, student: course, ...}, "Y": {student: course, student: course, ...}, ... } Examples -------- """ people_studying_df = df[df['FORMA_EVASAO'] == EvasionForm.EF_ATIVO] failedbyfreq = people_studying_df.loc[people_studying_df['SITUACAO'] == Situation.SITUATION_FAIL[1]] coursefailed_bystudent = failedbyfreq.groupby(["NOME_PESSOA", "MATR_ALUNO", "COD_ATIV_CURRIC"]) final_dict = {} for fail in coursefailed_bystudent: for n in fails_by_freq: if fail[1].shape[0] == n: final_dict[n] = (fail[0][0], fail[0][2]) pp.pprint (final_dict) \ No newline at end of file
 ... ... @@ -25,10 +25,10 @@ def build_cache(dataframe,path): for cod, df in dataframe.groupby('COD_CURSO'): path = path + '/' generate_degree_data(path, df) generate_student_data(path+'students/',df,student_analysis) generate_admission_data(path+'admission/',df) generate_course_data(path+'disciplina/' ,dataframe) # generate_degree_data(path, df) # generate_student_data(path+'students/',df,student_analysis) # generate_admission_data(path+'admission/',df) # generate_course_data(path+'disciplina/' ,dataframe) generate_cepe_data(path+'/others/',df) ... ... @@ -36,6 +36,7 @@ def generate_cepe_data(path,df): cepe_dict = {} cepe_dict["student_fails_course"] = student_fails_course(df) cepe_dict["n_fails_semester"] = n_fails_semester(df) cepe_dict["n_fails_by_freq"] = n_fails_by_freq(df) save_json(path+"cepe9615.json", cepe_dict) def generate_degree_data(path, dataframe): ... ...
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