diff --git a/bin/plot_clusters.py b/bin/plot_clusters.py
index 8542e2f..833f73f 100644
--- a/bin/plot_clusters.py
+++ b/bin/plot_clusters.py
@@ -55,7 +55,7 @@ def check_files(vector_file, cluster_file):
 	
 		
 		
-
+from data import read_file, index_by_id
 
 # Defining argparse
 parser = argparse.ArgumentParser(prog='Plotter', description='Plot a file of 2d ou 3d dimension')
@@ -66,8 +66,6 @@ parser.add_argument('vectorfile', type=str,
 parser.add_argument('-o-', '--output', type=str,
                     default='plot.pdf',
                     help='the path of the ploted file')
-parser.add_argument('-t', '--toy', action='store_true',
-                    help='test the script on a toy example. Do not test all the file content')
 
 args = parser.parse_args()
 
@@ -75,12 +73,24 @@ args = parser.parse_args()
 CLUSTERFILE_PATH=args.clusterfile
 VECTORFILE_PATH=args.vectorfile
 OUTFILE_PATH = args.output
-TOY_VERSION = args.toy
 
-if check_files(VECTORFILE_PATH, CLUSTERFILE_PATH) == False:
-	print("Les fichiers ne sont pas dans le meme ordre. Dans une version futur, cela générera une exception. On stop le processus.")
-	exit(1)	
+data_vector = read_file(VECTORFILE_PATH)
+features = np.asarray([x[1] for x in data_vector])
+features_T = np.transpose(features)
+
+data_cluster = read_file(CLUSTERFILE_PATH)
+data_cluster_ind = index_by_id(data_cluster)
+clusters = [data_cluster_ind[x[0][0]][x[0][3]][0][1] for x in data_vector]
+
 
+# TODO: compute tsne file
+# TODO: adapt the script for the new library
+df = pd.DataFrame(dict(
+		x=features_T[0],
+		y=features_T[1],
+		cluster=np.transpose(clusters)[0]
+	))
+exit(1)
 # Get Vectors 
 metas, vectors = read_vector_file(VECTORFILE_PATH, toy_version = TOY_VERSION)
 vectors_T = np.transpose(vectors)
@@ -90,11 +100,6 @@ metas, clusters = read_vector_file(CLUSTERFILE_PATH, toy_version = TOY_VERSION)
 
 #print(np.transpose(clusters)[0])
 #print(np.transpose(metas)[0])
-df = pd.DataFrame(dict(
-		x=vectors_T[0],
-		y=vectors_T[1],
-		cluster=np.transpose(clusters)[0]
-	))
 
 groups = df.groupby('cluster')