Classe level_heatmap

This commit is contained in:
Benjamin Bertrand 2017-03-29 05:45:08 +03:00
parent 598d8f8848
commit 7febc6ba6b
1 changed files with 134 additions and 1 deletions

View File

@ -3,6 +3,12 @@
import pandas as pd
import numpy as np
from notes_tools.tools.marks_plottings import (pie_pivot_table,
parallel_on,
radar_on,
)
import seaborn as sns
class Student(object):
@ -89,6 +95,72 @@ class Student(object):
tabular.append(r"\end{tabular}")
return '\n'.join(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
@property
def heatmap_on_domain(self):
""" Heatmap over evals on domains """
try:
self._heatmap_on_domain
except AttributeError:
comp = pd.pivot_table(self.quest_df,
index = "Competence",
columns = ["Exercice", "Question"],
values = ["Normalized"],
aggfunc = np.mean,
)
comp.columns = [f"{i['Exercice']} {i['Question']}" for _,i in self.quest_df[["Exercice", "Question"]].drop_duplicates().iterrows()]
self._heatmap_on_domain = sns.heatmap(comp)
return self._heatmap_on_domain
class Classe(object):
"""
@ -96,7 +168,68 @@ class Classe(object):
Those informations should not be modify or use for compute analysis otherwise they won't be spread over other POV.
"""
pass
def __init__(self, quest_df, exo_df, eval_df):
""" Init of a class from quest, exo and eval """
names = {*quest_df["Nom"].unique(),
*exo_df["Nom"].unique(),
*eval_df["Nom"].unique(),
}
if len(names) != 1:
raise ValueError("Can't initiate Classe: dfs contains different evaluation names")
self.name = names.pop()
self.quest_df = quest_df
self.exo_df = exo_df
self.eval_df = eval_df
@property
def marks_tabular(self):
""" Latex tabular with marks of students"""
try:
self._marks_tabular
except AttributeError:
self._marks_tabular = self.eval_df[["Eleve", "Mark_barem"]]
self._marks_tabular.columns = ["Élèves", "Note"]
return self._marks_tabular.to_latex()
@property
def level_heatmap(self):
""" Heapmap on acheivement level """
try:
self._level_heatmap
except AttributeError:
pv = pd.pivot_table(self.quest_df,
index = "Eleve",
columns = ["Exercice", "Question", "Commentaire"],
values = ["Normalized"],
aggfunc = "mean",
)
def lines_4_heatmap(c):
lines = []
ini = ''
for k,v in enumerate(c.labels[1][::-1]):
if v != ini:
lines.append(k)
ini = v
return lines[1:]
exercice_sep = lines_4_heatmap(pv.columns)
pv.columns = [f"{i[1]} {i[2]} {i[3]:.15}" for i in pv.columns.get_values()]
self._level_heatmap = sns.heatmap(pv.T)
self._level_heatmap.hlines(exercice_sep,
*self._level_heatmap.get_xlim(),
colors = "orange",
)
return self._level_heatmap
# TODO: à factoriser Il y a la même dans term.py |jeu. mars 23 19:36:28 EAT 2017
def select(quest_df, exo_df, eval_df, index, value):