Revert "On rajoute le graphe des résultats"

This reverts commit bd8ba6c327.
This commit is contained in:
Tom Hubrecht 2021-05-24 16:31:00 +02:00
parent bd8ba6c327
commit 942a8d852f
6 changed files with 8 additions and 104 deletions

View file

@ -1,10 +1,9 @@
{% load i18n %}
<div class="panel-block">
<div class="columns is-centered is-fullwidth is-vcentered">
{# Tableau des duels #}
<div class="column is-narrow">
<table class="table is-bordered is-striped is-centered">
<div class="columns is-centered is-fullwidth">
<div class="column">
<table class="table is-bordered is-striped">
<thead>
<th class="has-text-centered">
<span class="icon">
@ -45,16 +44,9 @@
</tbody>
</table>
</div>
{# Graphe #}
<div class="column is-narrow">
<figure class="image">
{{ graph|safe }}
</figure>
</div>
</div>
</div>
<div class="panel-block">
<i>{% trans "La matrice des résultats montre les points d'avance, l'option gagnante est affichée sur la colonne et la perdante sur la ligne. Le graphe représente les duels entre les options, le nombre de votes d'avance est précisé sur l'arête." %}</i>
<i>{% trans "La matrice des résultats montre les points d'avance, l'option gagnante est affichée sur la colonne et la perdante sur la ligne. " %}</i>
</div>

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@ -3,8 +3,6 @@ import io
import networkx as nx
import numpy as np
from matplotlib.colors import ListedColormap
from matplotlib.figure import Figure
from networkx.algorithms.dag import ancestors, descendants
from django.contrib.auth.hashers import make_password
@ -247,31 +245,14 @@ class ResultsData:
return render_to_string("elections/results/select.html")
def rank(question):
"""
On récupère la matrice des résultats et on l'affiche, ainsi que le graphe des duels
"""
duels = question.duels.select_related("winner", "loser").all()
"""On récupère la matrice des résultats et on l'affiche"""
duels = question.duels.all()
options = list(question.options.all())
n = len(options)
# Initialisation
_matrix = np.zeros((n, n), dtype=int)
matrix = np.zeros((n, n), dtype=tuple)
G = nx.DiGraph()
G.add_nodes_from(options)
graph = io.StringIO()
e_labels = {}
max_votes = 1
# Création de la liste des couleurs pour les arêtes
values = np.ones((128, 4))
values[:, 0] = np.linspace(29, 72, 128) / 256
values[:, 1] = np.linspace(39, 199, 128) / 256
values[:, 2] = np.linspace(58, 116, 128) / 256
cmap = ListedColormap(values)
# On récupère les données
for d in duels:
i, j = options.index(d.loser), options.index(d.winner)
_matrix[i, j] = d.amount
@ -280,13 +261,6 @@ class ResultsData:
for j in range(n):
if _matrix[i, j] > _matrix[j, i]:
matrix[i, j] = (_matrix[i, j], "is-success")
# On rajoute un arête sur le graphe
nb_votes = _matrix[i, j] - _matrix[j, i]
max_votes = max(nb_votes, max_votes)
G.add_edge(options[j], options[i], weight=nb_votes)
e_labels[(options[j], options[i])] = nb_votes
elif _matrix[i, j] < _matrix[j, i]:
matrix[i, j] = (_matrix[i, j], "is-danger")
else:
@ -294,52 +268,9 @@ class ResultsData:
matrix = zip(matrix.tolist(), options)
# On dessine le graphe
fig = Figure()
ax = fig.gca()
n_labels = {o: o.abbreviation or (i + 1) for i, o in enumerate(options)}
# Calcul des couleurs des arêtes
e_list = G.edges()
w_list = nx.get_edge_attributes(G, "weight")
e_colors = [w_list[e] / max_votes for e in e_list]
# Affichage du graphe
g_pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, g_pos, node_color="#1d273a", node_size=1500, ax=ax)
nx.draw_networkx_edges(
G,
g_pos,
arrowstyle="->",
arrowsize=30,
edge_color=e_colors,
edge_cmap=cmap,
width=3,
connectionstyle="arc3,rad=0.1",
min_target_margin=18,
ax=ax,
)
nx.draw_networkx_labels(G, g_pos, font_color="#f1f4f8", labels=n_labels, ax=ax)
nx.draw_networkx_edge_labels(
G,
g_pos,
edge_labels=e_labels,
ax=ax,
rotate=False,
bbox={"fc": "#f1f4f8", "ec": "#1d273a", "boxstyle": "round,pad=0.6"},
)
fig.savefig(graph, format="svg")
return render_to_string(
"elections/results/rank.html",
{
"q": question,
"matrix": matrix,
"options": options,
"graph": graph.getvalue(),
},
{"q": question, "matrix": matrix, "options": options},
)

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@ -3,5 +3,4 @@ django-translated-fields==0.11.1
authens>=0.1b2
numpy
networkx
matplotlib
python-csv

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@ -10589,13 +10589,4 @@ body {
white-space: unset;
}
.table.is-centered {
margin-left: auto;
margin-right: auto;
}
.columns.is-fullwidth {
width: 100%;
}
/*# sourceMappingURL=main.css.map */

File diff suppressed because one or more lines are too long

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@ -36,12 +36,3 @@ body
height: auto
min-height: 2em
white-space: unset
// Centered tables
.table.is-centered
margin-left: auto
margin-right: auto
// Fullwidth columns
.columns.is-fullwidth
width: 100%