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read_csv_spotify_delimiter.py #1

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6 changes: 3 additions & 3 deletions read_csv_spotify.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ def get_artists(track_data):
t0 = time.time()
for i_country, country in enumerate(country_list):
csv_array = np.loadtxt(
'top_' + country + '_200_spotify.csv', delimiter=",", dtype=object)
'top_' + country + '_200_spotify.csv', delimiter=";", dtype=object)
country_unique_tracks = np.concatenate(
(country_unique_tracks, np.unique(csv_array[1:, 1:])))
unique_tracks_list = np.unique(country_unique_tracks)
Expand Down Expand Up @@ -62,7 +62,7 @@ def get_artists(track_data):
fieldnames = ['danceability', 'energy', 'key', 'loudness', 'mode', 'speechiness', 'acousticness', 'instrumentalness', 'liveness',
'valence', 'tempo', 'type', 'id', 'uri', 'track_href', 'analysis_url', 'duration_ms', 'time_signature', 'name', 'artists']
writer = csv.DictWriter(csv_spotify_af, fieldnames=fieldnames,
delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
delimiter=';', quotechar='"', quoting=csv.QUOTE_MINIMAL)

writer.writeheader()
for track_af in spotify_dict.values():
Expand All @@ -78,5 +78,5 @@ def get_artists(track_data):
# %%
country = 'paraguay'
csv_array = np.loadtxt(
'top_' + country + '_200_spotify.csv', delimiter=",", dtype=object)
'top_' + country + '_200_spotify.csv', delimiter=";", dtype=object)
tracks = np.unique(csv_array[1:, 1:])