added songs of artist

songs-of-artist/config.py

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+client_id = ""
+secret_key = ""

songs-of-artist/readme.md

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+Songs of Artist
+
+A music search application, using a few named technologies that allows users to search for the songs of their favorite Artists in a very less time.
+
+Getting Started
+
+Install spotipy using pip
+
+$ pip install spotipy
+
+After installation
+
+Update the client_id and secret_key in the configuration file to authenticate the spotipy api
+
+After updation
+
+Run the file songs_of_artists.py to see the songs of your favorite artist.

songs-of-artist/songs_of_artist.py

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+import spotipy
+import config
+from spotipy.oauth2 import SpotifyClientCredentials #To access authorised Spotify data
+
+client_id = config.client_id
+client_secret = config.secret_key
+
+client_credentials_manager = SpotifyClientCredentials(client_id=client_id, client_secret=client_secret)
+sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager) #spotify object to access API
+name = input("Enter Artist Name: ") #chosen artist
+result = sp.search(name) #search query
+artist_uri = ''
+for row in result['tracks']['items'][0]['artists']:
+    if name.lower() in row['name'].lower():
+        artist_uri = row['uri']
+        break
+
+#Pull all of the artist's albums
+sp_albums = sp.artist_albums(artist_uri, album_type='album')
+#Store artist's albums' names' and uris in separate lists
+
+album_names = []
+album_uris = []
+for i in range(len(sp_albums['items'])):
+    album_names.append(sp_albums['items'][i]['name'])
+    album_uris.append(sp_albums['items'][i]['uri'])
+
+
+def albumSongs(uri):
+    album = uri #assign album uri to a_name
+    spotify_albums[album] = {} #Creates dictionary for that specific album
+    #Create keys-values of empty lists inside nested dictionary for album
+    spotify_albums[album]['album'] = [] #create empty list
+    spotify_albums[album]['track_number'] = []
+    spotify_albums[album]['id'] = []
+    spotify_albums[album]['name'] = []
+    spotify_albums[album]['uri'] = []
+    tracks = sp.album_tracks(album) #pull data on album tracks
+    for n in range(len(tracks['items'])): #for each song track
+    	spotify_albums[album]['album'].append(album_names[album_count]) #append album name tracked via album_count
+    	spotify_albums[album]['track_number'].append(tracks['items'][n]['track_number'])
+    	spotify_albums[album]['id'].append(tracks['items'][n]['id'])
+    	spotify_albums[album]['name'].append(tracks['items'][n]['name'])
+    	spotify_albums[album]['uri'].append(tracks['items'][n]['uri'])
+
+spotify_albums = {}
+album_count = 0
+for i in album_uris: #each album
+    albumSongs(i)
+    album_count+=1 #Updates album count once all tracks have been added
+
+def popularity(album):
+	spotify_albums[album]['popularity'] = []
+	track_count = 0
+	for track in spotify_albums[album]['uri']:
+		pop = sp.track(track)
+		spotify_albums[album]['popularity'].append(pop['popularity'])
+		track_count+=1
+
+for i in spotify_albums:
+    popularity(i)        
+
+dic_df = {}
+dic_df['name'] = []
+dic_df['popularity'] = []
+for album in spotify_albums: 
+    for feature in ['name', 'popularity']:
+        dic_df[feature].extend(spotify_albums[album][feature]) 
+
+
+import pandas as pd
+df = pd.DataFrame.from_dict(dic_df)
+
+final_df = df.sort_values('popularity', ascending=False)
+pd.set_option("display.max_rows", None, "display.max_columns", None)
+print(final_df)