Guided Project 3 Bruna Bodecam Week 13

Music/Data base/Music.py

@@ -0,0 +1,83 @@
+import sqlite3, csv
+
+bank = sqlite3.connect("Best Songs on Spotify from 2000 2023.db")
+cursor = bank.cursor()
+
+cursor.execute('CREATE TABLE IF NOT EXISTS Musics(\
+                ID INTEGER PRIMARY KEY AUTOINCREMENT,\
+                Title INTEGER NOT NULL,\
+                Artist TEXT NOT NULL,\
+                Top_Genre TEXT,\
+                Year INT,\
+                BPM INT,\
+                Energy INT,\
+                Danceability INT,\
+                dB INT,\
+                Liveness INT,\
+                Valence INT,\
+                Duration INT,\
+                Acousticness INT,\
+                Speechiness INT,\
+                Popularity)')
+
+file = open('Best Songs on Spotify from 2000 2023.csv', encoding= "utf-8")
+next(file)
+
+content = csv.reader(file)
+
+insert_content ="INSERT INTO Musics (Title, Artist, Top_Genre, Year, BPM, Energy, Danceability, dB, Liveness, Valence, Duration, Acousticness, Speechiness, Popularity) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"
+
+cursor.executemany(insert_content, content)
+
+select_all = "SELECT * FROM Musics"
+enter = cursor.execute(select_all).fetchall()
+
+bank.commit()
+bank.close()
+
+#...............................................................................................................
+
+bank = sqlite3.connect("Spotify 2023.db")
+cursor = bank.cursor()
+
+cursor.execute('CREATE TABLE IF NOT EXISTS Musics(\
+                ID INTEGER PRIMARY KEY AUTOINCREMENT,\
+                Track_Name INTEGER NOT NULL,\
+                Artist_Name TEXT NOT NULL,\
+                Artist_Count INT,\
+                Released_Year INT,\
+                Released_Month INT,\
+                Released_Day INT,\
+                in_Spotify_playlist INT,\
+                in_Spotify_charts INT,\
+                Streams TEXT,\
+                in_Apple_playlist INT,\
+                in_Apple_charts INT,\
+                in_Deezer_playlist TEXT,\
+                in_Deezer_charts INT,\
+                in_Shazam_charts TEXT,\
+                BPM INT,\
+                Key TEXT,\
+                Mode TEXT,\
+                Danceability INT,\
+                Valence INT,\
+                Energy INT,\
+                Acousticness INT,\
+                Instrumentalness INT,\
+                Liveness INT,\
+                Speechiness)')
+
+file = open('Spotify 2023.csv', encoding= "latin1")
+next(file)
+
+content = csv.reader(file)
+
+insert_content ="INSERT INTO Musics (Track_name, Artist_Name, Artist_Count,  Released_Year, Released_Month,  Released_Day,  in_Spotify_playlist, in_Spotify_charts, Streams, in_Apple_playlist, in_Apple_charts, in_Deezer_playlist, in_Deezer_charts, in_Shazam_charts, BPM, Key, Mode, Danceability, Valence, Energy, Acousticness, Instrumentalness, Liveness, Speechiness) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"
+
+cursor.executemany(insert_content, content)
+
+select_all = "SELECT * FROM Musics"
+enter = cursor.execute(select_all).fetchall()
+
+bank.commit()
+bank.close()