repytex/notes_tools/reports/term_pov.py
2017-03-09 15:55:32 +03:00

177 lines
5.4 KiB
Python

#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2017 lafrite <lafrite@Poivre>
#
# Distributed under terms of the MIT license.
"""
POV tools on term
"""
from notes_tools.tools.marks_plottings import (pie_pivot_table,
parallel_on,
radar_on,
)
import pandas as pd
import numpy as np
__all__ = ["Student", "Classe"]
class Student(object):
"""
Informations on a student which can be use inside template.
Those informations should not be modify or use for compute analysis otherwise they won't be spread over other POV.
"""
def __init__(self, quest_df, exo_df, eval_df):
"""
Description of a student from quest, exo and eval
"""
if len(quest_df["Eleve"].unique()) != 1:
raise ValueError("Can't initiate Student: quest_df contains different student names")
elif len(exo_df["Eleve"].unique()) != 1:
raise ValueError("Can't initiate Student: exo_df contains different student names")
elif len(eval_df["Eleve"].unique()) != 1:
raise ValueError("Can't initiate Student: eval_df contains different student names")
elif quest_df["Eleve"].iloc[0] != exo_df["Eleve"].iloc[0] or \
quest_df["Eleve"].iloc[0] != eval_df["Eleve"].iloc[0]:
raise ValueError("Can't initiate Student: dfs contains different student names")
self.name = quest_df["Eleve"].iloc[0]
self.quest_df = quest_df
self.exo_df = exo_df
self.eval_df = eval_df
@property
def marks_tabular(self):
""" Latex tabular with all of his marks of the term """
try:
self._marks_tabular
except AttributeError:
self._marks_tabular = self.eval_df[["Nom", "Mark", "Bareme"]].to_latex()
return self._marks_tabular
@property
def pies_on_competence(self):
""" Pies chart on competences """
try:
self._pies_on_competence
except AttributeError:
self._pies_on_competence = pie_pivot_table(self.quest_df,
index = "Level",
columns = "Competence",
values = "Eleve",
aggfunc = len,
fill_value = 0,
)
return self._pies_on_competence
@property
def pies_on_domaine(self):
""" Pies chart on domaines """
try:
self._pies_on_domaine
except AttributeError:
self._pies_on_domaine = pie_pivot_table(self.quest_df,
index = "Level",
columns = "Domaine",
values = "Eleve",
aggfunc = len,
fill_value = 0,
)
return self._pies_on_domaine
@property
def radar_on_competence(self):
""" Radar plot on competence """
try:
self._radar_on_competence
except AttributeError:
self._radar_on_competence = radar_on(self.quest_df,
"Competence")
return self._radar_on_competence
@property
def radar_on_domaine(self):
""" Radar plot on domaine """
try:
self._radar_on_domaine
except AttributeError:
self._radar_on_domaine = radar_on(self.quest_df,
"Domaine")
return self._radar_on_domaine
def parallel_on_evals(self, classe_evals):
""" Parallel coordinate plot of the class with student line highlight """
return parallel_on(classe_evals, "Nom", self.name)
class Classe(object):
"""
Informations on a class which can be use inside template.
Those informations should not be modify or use for compute analysis otherwise they won't be spread over other POV.
"""
def __init__(self, quest_df, exo_df, eval_df):
""" Init of a class from quest, exo and eval """
self.quest_df = quest_df
self.exo_df = exo_df
self.eval_df = eval_df
@property
def evals_tabular(self):
""" Summary of all evaluations for all students """
try:
self._evals_tabular
except AttributeError:
self._evals_tabular = pd.pivot_table(self.eval_df,
index = "Eleve",
columns = "Nom",
values = "Mark_barem",
aggfunc = lambda x: " ".join(x)).to_latex()
return self._evals_tabular
@property
def parallel_on_evals(self):
""" Parallel coordinate plot of the class """
return parallel_on(self.eval_df, "Nom")
@property
def pies_eff_pts_on_competence(self):
""" Pie charts on competence with repartition of evaluated times and attributed points """
return pie_pivot_table(self.quest_df,
index = "Competence",
#columns = "Level",
values = "Bareme",
aggfunc=[len,np.sum],
fill_value=0)
@property
def pies_eff_pts_on_domaine(self):
""" Pie charts on domaine with repartition of evaluated times and attributed points """
return pie_pivot_table(self.quest_df,
index = "Domaine",
#columns = "Level",
values = "Bareme",
aggfunc=[len,np.sum],
fill_value=0)
# -----------------------------
# Reglages pour 'vim'
# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
# cursor: 16 del