32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
import pandas as pd
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import numpy as np
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GRADE_LIST = "Cijfers-HerrewijnenJonathan.csv"
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class Cijferlijst:
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def __init__(self, grade_list=GRADE_LIST):
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self.grade_list = grade_list
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self.ps = pd.read_csv(GRADE_LIST, skiprows=2, sep=';')
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'''
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Get all data from a subject and a (yearly) period:
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GetSubjectByYear("godsdienst", "2010/2011")
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'''
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def GetSubjectByYear(self, subject, year):
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if(type(subject) == str and type(year) == str):
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select_year = self.ps[self.ps['Schooljaar(Voortgangsdossier)'] == year]
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select_subject = select_year[select_year["Vak(Voortgangsdossier)"] == subject]
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#filter period and rapport
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rapports = select_subject[select_subject['Cijfertype(Voortgangsdossier)'] != "Periodegemiddelde"]
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return rapports[rapports ['Cijfertype(Voortgangsdossier)'] != "Rapportcijfer"]
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else:
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return False
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def iets(self):
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print(self.grade_list)
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def CalculateMedian(self, subject, year):
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# Calculates average for all scores without weight!
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Grades = self.ps['Cijfer(Voortgangsdossier)'].loc[:] |