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import matplotlib.pyplot as plt
from mplsoccer import PyPizza
import pandas as pd
from config.config import CATEGORIES, CHART_CONFIG
import matplotlib.pyplot as plt
from mplsoccer import PyPizza
import pandas as pd
import streamlit as st
from config.config import CATEGORIES, CHART_CONFIG
def create_pizza_chart(final_df, selected_ville, selected_player, max_values):
try:
from urllib.request import urlopen
from PIL import Image
import matplotlib.image as image
player_data = final_df[(final_df['Ville'] == selected_ville) &
(final_df['name'] == selected_player)]
if player_data.empty:
st.warning(f"Aucune donnée trouvée pour {selected_player} dans {selected_ville}")
return None
player_data = player_data.iloc[0]
params, values, slice_colors = [], [], []
min_ranges, max_ranges = [], []
# Préparation des données pour le graphique
for cat_name, cat_info in CATEGORIES.items():
for subcat, display_text in cat_info['subcats'].items():
params.append(display_text)
if subcat in final_df.columns and pd.notna(player_data[subcat]):
value = float(player_data[subcat])
values.append(value)
min_ranges.append(0)
max_ranges.append(max_values[cat_name][subcat])
else:
values.append(0)
min_ranges.append(0)
max_ranges.append(100)
slice_colors.append(cat_info['color'])
# Création du graphique
text_colors = ["#000000"] * len(params)
fig, ax = plt.subplots(figsize=CHART_CONFIG["figsize"])
pizza_config = {k: v for k, v in CHART_CONFIG.items() if k != "figsize"}
pizza_config['inner_circle_size'] = 30 # Augmenter la taille du cercle intérieur
baker = PyPizza(
params=params,
min_range=min_ranges,
max_range=max_ranges,
**pizza_config
)
fig, ax = baker.make_pizza(
values,
figsize=(10, 10),
color_blank_space="same",
slice_colors=slice_colors,
value_colors=text_colors,
value_bck_colors=slice_colors,
blank_alpha=0.4,
kwargs_slices=dict(
edgecolor="#F2F2F2",
zorder=2,
linewidth=1
),
kwargs_params=dict(
color="#000000",
fontsize=8,
va="center"
),
kwargs_values=dict(
color="#000000",
fontsize=8,
zorder=3,
bbox=dict(
edgecolor="#000000",
facecolor="white",
boxstyle="round,pad=0.2",
lw=1
)
)
)
# Ajouter l'image au centre
try:
# Charger et ajouter le logo au centre
logo_url = "https://upload.wikimedia.org/wikipedia/fr/thumb/0/01/Logo_Stade_Toulousain_Rugby.svg/775px-Logo_Stade_Toulousain_Rugby.svg.png?20180529221555"
logo = Image.open(urlopen(logo_url))
# Créer un nouvel axe pour l'image
ax_image = fig.add_axes([0.4478, 0.4315, 0.13, 0.127], zorder=2)
ax_image.imshow(logo)
ax_image.axis('off')
except Exception as e:
st.warning(f"Impossible de charger l'image: {str(e)}")
return fig
except Exception as e:
st.error(f"Erreur lors de la création du graphique: {str(e)}")
return None
def get_max_values_for_ville(final_df, selected_ville):
"""Calcule les valeurs maximales pour une ville donnée"""
# Filtrer les données pour la ville sélectionnée et exclure "GENERAL"
ville_data = final_df[(final_df['Ville'] == selected_ville) &
(final_df['name'] != "GENERAL")]
max_values = {}
for cat_name, cat_info in CATEGORIES.items():
cat_values = {} # Utiliser un dictionnaire pour stocker les max par sous-catégorie
for subcat in cat_info['subcats'].keys():
if subcat in final_df.columns:
values = ville_data[subcat].dropna()
if not values.empty:
cat_values[subcat] = max(values.astype(float))
if cat_values:
max_values[cat_name] = cat_values
return max_values
def display_metrics(max_values):
"""Affiche les valeurs maximales par catégorie de manière esthétique en deux colonnes"""
st.markdown("""
<style>
div[data-testid="stVerticalBlock"] div[style*="flex-direction: column"] div[data-testid="stVerticalBlock"] {
background-color: white;
padding: 20px;
border-radius: 10px;
box-shadow: 2px 2px 10px rgba(0,0,0,0.1);
margin-bottom: 20px;
}
</style>
""", unsafe_allow_html=True)
# Diviser les catégories en deux groupes
categories = list(max_values.items())
mid = (len(categories) + 1) // 2
# Créer deux colonnes principales
col_left, col_right = st.columns(2)
# Remplir la colonne gauche
with col_left:
for cat_name, subcats in categories[:mid]:
cat_color = CATEGORIES[cat_name]['color']
with st.container():
st.markdown(f"""
<h3 style='
color: {cat_color};
font-size: 20px;
padding-bottom: 10px;
border-bottom: 2px solid {cat_color};
margin-bottom: 15px;
'>
{cat_name}
</h3>
""", unsafe_allow_html=True)
for subcat, value in subcats.items():
st.markdown(f"""
<div style='display: flex; justify-content: space-between; padding: 5px 0;'>
<span style='color: #666; font-size: 16px;'>
{CATEGORIES[cat_name]['subcats'][subcat].replace(chr(10), ' ')}
</span>
<span style='color: #333; font-weight: bold; font-size: 16px;'>
{value}
</span>
</div>
""", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
# Remplir la colonne droite
with col_right:
for cat_name, subcats in categories[mid:]:
cat_color = CATEGORIES[cat_name]['color']
with st.container():
st.markdown(f"""
<h3 style='
color: {cat_color};
font-size: 20px;
padding-bottom: 10px;
border-bottom: 2px solid {cat_color};
margin-bottom: 15px;
'>
{cat_name}
</h3>
""", unsafe_allow_html=True)
for subcat, value in subcats.items():
st.markdown(f"""
<div style='display: flex; justify-content: space-between; padding: 5px 0;'>
<span style='color: #666; font-size: 16px;'>
{CATEGORIES[cat_name]['subcats'][subcat].replace(chr(10), ' ')}
</span>
<span style='color: #333; font-weight: bold; font-size: 16px;'>
{value}
</span>
</div>
""", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True) |