【发布时间】:2020-09-12 15:15:03
【问题描述】:
我目前正在编写一个小型 Python 程序来分析使用 Spotify Web API 保存的歌曲的音频特征。不幸的是,查询每首歌曲的音频特征需要很长时间。大约。每秒分析 3-4 首歌曲。存储 2500 首歌曲时,该功能需要很长时间。作为一个初学者,我还没有找到加速该功能的方法。下面是函数的源代码:
def avg_features(token, tracklist):
track_counter: int = 0
danceability = 0
energy = 0
loudness = 0
speechiness = 0
acousticness = 0
instrumentalness = 0
liveness = 0
valence = 0
tempo = 0
for track in tracklist:
query = f"https://api.spotify.com/v1/audio-features/{track}"
response=requests.get(query, headers={"Authorization": f"Bearer {token}"})
response=response.json()
danceability += response['danceability']
energy += response['energy']
loudness += response['loudness']
speechiness += response['speechiness']
acousticness += response['acousticness']
instrumentalness += response['instrumentalness']
liveness += response['liveness']
valence += response['valence']
tempo += response['tempo']
track_counter += 1
print(track_counter)
danceability /= track_counter
energy /= track_counter
loudness /= track_counter
speechiness /= track_counter
acousticness /= track_counter
instrumentalness /= track_counter
liveness /= track_counter
valence /= track_counter
tempo /= track_counter
feature_list: Dict[str, int] = {'danceability': danceability, 'energy': energy, 'loudness': loudness, 'speechiness': speechiness, 'acousticness': acousticness', 'instrumentalness': instrumentalness, 'liveness': liveness, 'valence': valence, 'tempo': tempo}
return feature_list
有没有人知道如何加快功能或音频功能的查询是否总是需要很长时间?
非常感谢您的回答。 提前致谢。 埃里克
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