def lowEnergy():
tids = []
# get songs by recommendation
results = sp.recommendations(seed_artists = [artist['id']])
#retrieve uris for songs
for track in results['tracks']:
tids.append(track['uri'])
#get audio_features
features = sp.audio_features(tids)
#pick energies
energy = [x['energy'] for x in features]
#here I filter out low energy values
low_energy = [x for x in energy if x < 0.5]
#get track names
track_names = [sp.track(uri)['name'] for uri in tids]
现在我想按照0.5 以下的能量值过滤掉曲目名称,如下所示:
track name1 - 0.49
track name2 - 0.34
等等。
但我在这里挣扎......我怎么做到这一点?感谢
答案 0 :(得分:0)
未经测试,但希望它有效。
for i, e in enumerate(energy):
if e < 0.5:
track_name = sp.track(tids[i])['name']
print("{} - {}".format(track_name, e))