First working version

.gitignore

@@ -150,3 +150,7 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+# Custom
+*.json
+*.csv

spotifyVisualizer.py

@@ -0,0 +1,90 @@
+import json
+import os
+from datetime import datetime
+
+import attr
+import pandas as pd
+from tqdm import tqdm
+
+
+@attr.s
+class Paths():
+    data = r'data'
+
+
+@attr.s
+class Song():
+    date = attr.ib(default=str | datetime)
+    duration = attr.ib(default=float)
+    artist = attr.ib(default=str)
+    name = attr.ib(default=str)
+
+
+def main():
+    DATE_FORMAT = 'Week %W of %Y'
+    paths = Paths()
+
+    fileList = [f for f in os.listdir(
+        paths.data) if os.path.isfile(os.path.join(paths.data, f))]
+
+    songs = []
+    for file in fileList:
+        if file.find('StreamingHistory') != -1:
+            with open(os.path.join(paths.data, file), 'r', encoding='utf-8') as file:
+                songs += json.load(file)
+    del file
+
+    timeCounter = {}
+    songsData, artistsData, columns = {}, {}, []
+    for song in tqdm(songs, desc='Analyzing songs', unit='song'):
+        song = Song(
+            date=datetime.strptime(song['endTime'], '%Y-%m-%d %H:%M'),
+            duration=song['msPlayed']/1000/60,
+            artist=song['artistName'],
+            name=song['artistName'] + ' | ' + song['trackName']
+        )
+
+        columns.append(song.date)
+
+        song.date = song.date.strftime(DATE_FORMAT)
+
+        if song.artist in artistsData:
+            if song.date in artistsData[song.artist]:
+                timeCounter[song.artist] += song.duration
+                artistsData[song.artist][song.date] = timeCounter[song.artist]
+            else:
+                timeCounter[song.artist] += song.duration
+                artistsData[song.artist][song.date] = timeCounter[song.artist]
+        else:
+            timeCounter[song.artist] = song.duration
+            artistsData[song.artist] = {song.date: timeCounter[song.artist]}
+
+        if song.name in songsData:
+            if song.date in songsData[song.name]:
+                timeCounter[song.name] += song.duration
+                songsData[song.name][song.date] = timeCounter[song.name]
+            else:
+                timeCounter[song.name] += song.duration
+                songsData[song.name][song.date] = timeCounter[song.name]
+        else:
+            timeCounter[song.name] = song.duration
+            songsData[song.name] = {song.date: timeCounter[song.name]}
+
+    columns = list(set(columns))
+    columns = sorted(columns)
+    columns = [col.strftime(DATE_FORMAT) for col in columns]
+    columns = sorted(set(columns), key=columns.index)
+
+    print('\nSaving songs data...')
+    dt = pd.DataFrame.from_dict(songsData, orient='index', columns=columns)
+    dt.to_csv('songsData.csv')
+
+    print('\nSaving artists data...')
+    dt = pd.DataFrame.from_dict(artistsData, orient='index', columns=columns)
+    dt.to_csv('artistsData.csv')
+
+    print('\nFINISHED!!!')
+
+
+if __name__ == '__main__':
+    main()