108 lines
3.5 KiB
Python
108 lines
3.5 KiB
Python
# -*- mode: python -*-
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# -*- coding: utf-8 -*-
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##############################################################################
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#
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# Gestion scolarite IUT
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#
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# Copyright (c) 1999 - 2024 Emmanuel Viennet. All rights reserved.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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# Emmanuel Viennet emmanuel.viennet@viennet.net
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#
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##############################################################################
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##############################################################################
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# Module "Avis de poursuite d'étude"
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# conçu et développé par Cléo Baras (IUT de Grenoble)
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##############################################################################
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"""
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Created on Thu Sep 8 09:36:33 2016
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@author: barasc
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"""
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import datetime
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import numpy as np
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from app.scodoc import sco_utils as scu
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import pandas as pd
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TAGS_RESERVES = ["but"]
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class TableTag(object):
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def __init__(self):
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"""Classe centralisant différentes méthodes communes aux
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SemestreTag, TrajectoireTag, AggregatInterclassTag
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"""
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pass
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# -----------------------------------------------------------------------------------------------------------
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def get_all_tags(self):
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"""Liste des tags de la table, triée par ordre alphabétique
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Returns:
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Liste de tags triés par ordre alphabétique
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"""
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return sorted(self.moyennes_tags.keys())
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def df_moyennes_et_classements(self):
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"""Renvoie un dataframe listant toutes les moyennes,
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et les classements des étudiants pour tous les tags
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"""
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etudiants = self.etudiants
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df = pd.DataFrame.from_dict(etudiants, orient="index", columns=["nom"])
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for tag in self.get_all_tags():
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df = df.join(self.moyennes_tags[tag]["notes"].rename(f"Moy {tag}"))
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df = df.join(self.moyennes_tags[tag]["classements"].rename(f"Class {tag}"))
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return df
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def df_notes(self):
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"""Renvoie un dataframe (etudid x tag) listant toutes les moyennes par tags
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Returns:
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Un dataframe etudids x tag (avec tag par ordre alphabétique)
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"""
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tags = self.get_all_tags()
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if tags:
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dict_series = {tag: self.moyennes_tags[tag]["notes"] for tag in tags}
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df = pd.DataFrame(dict_series)
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return df
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else:
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return None
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def str_tagtable(self):
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"""Renvoie une chaine de caractère listant toutes les moyennes,
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les rangs des étudiants pour tous les tags."""
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etudiants = self.etudiants
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df = pd.DataFrame.from_dict(etudiants, orient="index", columns=["nom"])
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for tag in self.get_all_tags():
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df = df.join(self.moyennes_tags[tag]["notes"].rename(f"moy {tag}"))
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df = df.join(self.moyennes_tags[tag]["classements"].rename(f"class {tag}"))
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return df.to_csv(sep=";")
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