<p>我想你需要参数<code>lines=True</code>在<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_json.html" rel="nofollow noreferrer">^{<cd2>}</a>:</p>
<pre><code>df = pd.read_json('file.json', lines=True)
print (df)
key label score
0 Am2mVTMbhd0y 0 [0.999580323696136, 0.00041968212462900004]
1 AmG8StB8hM2k 0 [0.9997120499610901, 0.00028794570243900004]
2 Alt137zv2nY6 0 [0.8841496109962461, 0.11585044860839801]
3 AmGdF7cY4X22 0 [0.99994671344757, 5.3340554586611695e-05]
print (type(df['score'].iat[0]))
<class 'list'>
</code></pre>
<p>要将<code>lists</code>转换为列,请使用带有<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.concat.html" rel="nofollow noreferrer">^{<cd5>}</a>的<code>DataFrame</code>构造函数:</p>
<pre><code>df = pd.concat([df.drop('score', 1),
pd.DataFrame(df['score'].values.tolist()).add_prefix('score')], axis=1)
print (df)
key label score0 score1
0 Am2mVTMbhd0y 0 0.999580 0.000420
1 AmG8StB8hM2k 0 0.999712 0.000288
2 Alt137zv2nY6 0 0.884150 0.115850
3 AmGdF7cY4X22 0 0.999947 0.000053
</code></pre>