diff --git a/Routage/animation_djikstra.py b/Routage/animation_djikstra.py
deleted file mode 100644
index 83df4e9..0000000
--- a/Routage/animation_djikstra.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import networkx as nx
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-# Création du graphe
-G = nx.DiGraph()
-edges = [
-    (0, 1, 4), (0, 2, 1),
-    (2, 1, 2), (1, 3, 1),
-    (2, 3, 5), (3, 4, 3)
-]
-G.add_weighted_edges_from(edges)
-
-# Position des nœuds pour affichage
-pos = nx.spring_layout(G, seed=42)
-labels = {n: str(n) for n in G.nodes()}
-
-# Initialisation de la figure
-fig, ax = plt.subplots(figsize=(6, 6))
-
-# Algorithme de Dijkstra avec animation
-def dijkstra_animation(start_node=0):
-    distances = {node: float('inf') for node in G.nodes()}
-    distances[start_node] = 0
-    visited = set()
-    steps = []
-    
-    while len(visited) < len(G.nodes()):
-        min_node = min((node for node in distances if node not in visited), key=lambda x: distances[x])
-        visited.add(min_node)
-        
-        for neighbor in G.neighbors(min_node):
-            new_distance = distances[min_node] + G[min_node][neighbor]["weight"]
-            if new_distance < distances[neighbor]:
-                distances[neighbor] = new_distance
-        
-        steps.append((visited.copy(), [(min_node, v) for v in G.neighbors(min_node)]))
-    
-    return steps
-
-steps = dijkstra_animation()
-
-def update(frame):
-    ax.clear()
-    visited, edges = steps[frame]
-    node_colors = ["green" if n in visited else "lightblue" for n in G.nodes()]
-    edge_colors = ["red" if (u, v) in edges else "black" for u, v in G.edges()]
-    
-    nx.draw(G, pos, with_labels=True, labels=labels, node_size=800, 
-            node_color=node_colors, edge_color=edge_colors, font_size=14, font_weight="bold", ax=ax)
-    edge_labels = {(u, v): G[u][v]["weight"] for u, v in G.edges()}
-    nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels, font_size=12, ax=ax)
-
-ani = animation.FuncAnimation(fig, update, frames=len(steps), repeat=False, interval=1000)
-plt.show()