<p>您可以使用<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_json.html" rel="nofollow noreferrer">^{<cd1>}</a>,因为它是带有参数<code>lines=True</code>的<code>json</code>文件:</p>
<pre><code>df = pd.read_json('sample.db', lines=True)
print (df)
TCPPort UDPPort _id connected dateCreated \
0 15600 14600 FTpfNM4c4OuXAS6d 0 {'$$date': 1514997141045}
1 15600 14600 f6Gn2xXyoeMrSvi8 0 {'$$date': 1514997141046}
2 15600 14600 oVKsMubQ5rtAhfpq 0 {'$$date': 1514997141048}
3 15600 14600 rkQpS6BimYvfDIZU 0 {'$$date': 1514997141049}
dateLastConnected dateTried hostname ip \
0 NaN NaN 136.243.73.66 136.243.73.66
1 NaN NaN 45.77.187.45 45.77.187.45
2 NaN NaN mainnet.deviota.com None
3 NaN NaN mainnet2.deviota.com None
isTrusted key \
0 True 5d301e5f46bb6e0db9d379c19c451cc6905c09885e5529...
1 True c752b75fbc74eaba10745937d50abd2decf71c509aff49...
2 True a923372977f65fe08f472916f671a1749963cea3670168...
3 True 9aae219149f088c9295de31125fb1f39060dd4fe1540c0...
lastConnections port remoteKey seen tried weight
0 [] 16600 NaN 1 0 1
1 [] 16600 NaN 1 0 1
2 [] 16600 NaN 1 0 1
3 [] 16600 NaN 1 0 1
</code></pre>
<p>如果要分析<code>dateCreated</code>列中的字典值,请添加<code>apply</code>:</p>
^{pr2}$