Student Grading

student.py

import matplotlib.pyplot as plt
import numpy as np
import seaborn
from tabulate import tabulate

seaborn.set()  # set plot style

# Student untuk placeholder satu data
class Student(object):
    def __init__(self, nama, nim, nilai_tugas, nilai_uts, nilai_uas):
        self.nama = nama
        self.nim = nim
        self.nilai_tugas = nilai_tugas
        self.nilai_uts = nilai_uts
        self.nilai_uas = nilai_uas
        self.nilai_akhir = 0
        self.hitung_nilai_akhir()
        self.konversi_grade()

    def hitung_nilai_akhir(self):
        nilai_tugas = self.nilai_tugas * 0.3
        nilai_uts = self.nilai_uts * 0.3
        nilai_uas = self.nilai_uas * 0.4
        self.nilai_akhir = nilai_tugas + nilai_uts + nilai_uas

    def konversi_grade(self):
        if self.nilai_akhir >= 90:
            self.grade = "A"
        elif self.nilai_akhir >= 85:
            self.grade = "A-"
        elif self.nilai_akhir >= 80:
            self.grade = "B+"
        elif self.nilai_akhir >= 75:
            self.grade = "B"
        elif self.nilai_akhir >= 70:
            self.grade = "B-"
        elif self.nilai_akhir >= 65:
            self.grade = "C+"
        elif self.nilai_akhir >= 60:
            self.grade = "C-"
        elif self.nilai_akhir >= 50:
            self.grade = "D"
        elif self.nilai_akhir >= 40:
            self.grade = "E"
        elif self.nilai_akhir < 40:
            self.grade = "T"

    @staticmethod
    def avg_nilai_akhir(students):
        return Student.total_nilai_akhir(students) / len(students)

    @staticmethod
    def total_nilai_akhir(students):
        return sum([s.nilai_akhir for s in students])

    @staticmethod
    def nilai_terendah(students):
        return min([s.nilai_akhir for s in students])

    @staticmethod
    def nilai_tertinggi(students):
        return max([s.nilai_akhir for s in students])

def main():
    jumlah = int(input("Jumlah Mahasiswa: "))
    students = []
    for x in range(jumlah):
        print("Input data ke-",x+1)
        nama = input("Nama: ")
        nim = input("Nim: ")
        nilai_tugas = int(input("Tugas: "))
        nilai_uts = int(input("UTS: "))
        nilai_uas = int(input("UAS: "))

        student = Student(nama, nim, nilai_tugas, nilai_uts, nilai_uas)
        students.append(student)

    while True:
        display_type = int(input("Olah nilai menggunakan:\n1. tabulate\n2. numpy\n3. matplotlib \n0. tutup\n"))
        if display_type == 1:
            print_students(students)
        elif display_type == 2:
            print_students_using_numpy(students)
        elif display_type == 3:
            print_as_plot(students)
        else:
            break

def print_as_table(students):
    headers = ['No','NIM','NAMA','TUGAS','UTS','UAS','AKHIR','GRADE']
    table = []
    for i, student in enumerate(students):
        table.append([i + 1, student.nim, student.nama, student.nilai_tugas, student.nilai_uas, student.nilai_akhir, student.grade])
    print(tabulate(table, headers=headers))

def print_students(students):
    print("Laporan Nilai data sains")
    print_as_table(students)
    print("Total Nilai :", Student.total_nilai_akhir(students))
    print("Total Rata - rata :", round(Student.avg_nilai_akhir(students), 2))
    print("Total Terendah :", Student.nilai_terendah(students))
    print("Total Tertinggi :", Student.nilai_tertinggi(students))

def print_students_using_numpy(students):
    nilai_akhir = [s.nilai_akhir for s in students]
    np_array = np.array(nilai_akhir)
    print("Laporan Nilai data sains menggunakan numpy")
    print_as_table(students)
    print("Total Nilai :", Student.total_nilai_akhir(students))
    print("Total Rata - rata :", round(np.average(np_array), 2))
    print("Total Terendah :", np.amin(np_array))
    print("Total Tertinggi :", np.amax(np_array))

def print_as_plot(students):
    grades = [s.grade for s in students]
    grouped_grades = {}
    for grade in grades:
        v = grouped_grades.get(grade, 0)
        v += 1
        grouped_grades[grade] = v
    key_grades = grouped_grades.keys()
    value_grades = grouped_grades.values()
    fig1, axs1 = plt.subplots(1, 2, figsize=(6, 3), sharey=True)
    axs1[0].bar(key_grades, value_grades)
    axs1[1].hist([s.nilai_akhir for s in students])
    fig1.suptitle('Laporan Nilai data sains')
    fig2, axs2 = plt.subplots(1, 1, figsize=(3, 3), sharey=True)
    axs2.pie(value_grades, labels=key_grades)
    fig2.suptitle('Persentase Grade')
    plt.show()

main()

Jalankan melalui virtualenv,

pip install matplotlib numpy seaborn