diff --git a/test_Rémi b/test_Rémi
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index 0000000..df69fff
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+++ b/test_Rémi
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+#sae2.04
+
+import pandas as pd
+import getpass
+from sqlalchemy import create_engine, exc, text
+
+df = pd.read_csv('spotify_songs.csv', sep=',', encoding="latin-1")
+print(df)
+print(df.columns)
+'''
+renvoie ['track_id', 'track_name', 'track_artist', 'track_popularity',
+       'track_album_id', 'track_album_name', 'track_album_release_date',
+       'playlist_name', 'playlist_id', 'playlist_genre', 'playlist_subgenre',
+       'danceability', 'energy', 'key', 'loudness', 'mode', 'speechiness',
+       'acousticness', 'instrumentalness', 'liveness', 'valence', 'tempo',
+       'duration_ms']
+'''
+df = df.drop(columns=['key','mode','instrumentalness'])
+# Ces colonnes sont inutiles ici
+# Au besoin, on peut drop 
+df = df.dropna()
+
+print(df['duration_ms'])
+df['duration_ms'] = df['duration_ms']/1000 #ms en s
+df['duration_ms'] = df['duration_ms']/60 #s en m
+df = df.rename(columns={"duration_ms": "duration_m"})
+df['duration_m'] = df['duration_m'].round(2)
+print(df['duration_m'])
+
+# df = df.drop_duplicates() 
+# pas besoin car aucun titre en double
+dfT = df[['track_id', 'track_name', 'track_artist', 'track_popularity', 'duration_m']]
+dfA = df[['track_album_id', 'track_album_name', 'track_artist', 'track_album_release_date']]
+dfP = df[['playlist_name', 'playlist_id', 'playlist_genre', 'playlist_subgenre']]
+dfAutre = df[['track_id', 'track_album_id', 'danceability', 'energy', 'loudness', 'speechiness', 'acousticness', 'liveness', 'valence', 'tempo']]
+
+"""
+co = None
+engine = create_engine("postgresql://reneveu:achanger@londres/dbreneveu")
+try :
+    co = engine.connect()
+    dfT = df[["track_name", "artist_name", "released_year"]]
+    dfT = dfT.drop_duplicates()
+    co.execute(text('''DROP TABLE IF EXISTS Test CASCADE;'''))
+    co.execute(text('''CREATE TABLE Test(
+                        track_name varchar(150),
+                        artist_name varchar(150),
+                        released_year numeric(4),
+                        PRIMARY KEY (track_name, artist_name)                    
+                    );'''))
+    
+    for row in dfT.itertuples():
+        co.execute(text('''INSERT INTO Test VALUES(:1, :2, :3);'''),
+                {'1': row.track_name, '2': row.artist_name, '3': row.released_year})
+    co.execute(text('''SELECT * FROM Test;'''))
+    co.commit()
+
+except exc.SQLAlchemyError as e:
+    print(e)
+finally :
+    if co is not None:
+        co.close()
+"""
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