[英]convert json into pandas dataframe
我有这个json数据:
{
"current": [
[
0,
"2017-01-15T00:08:36Z"
],
[
0,
"2017-01-15T00:18:36Z"
]
],
"voltage": [
[
12.891309987,
"2017-01-15T00:08:36Z"
],
[
12.8952162966,
"2017-01-15T00:18:36Z"
]
]
}
我正在尝试以这种格式(时间序列)进入熊猫数据框:
time current voltage
2017-01-15T00:08:36Z 0 12.891309987
2017-01-15T00:18:36Z 0 12.8952162966
我努力了:
t = pd.read_json(q)
但这给了我:
current voltage
0 [0, 2017-01-15T00:08:36Z] [12.891309987, 2017-01-15T00:08:36Z]
1 [0, 2017-01-15T00:18:36Z] [12.8952162966, 2017-01-15T00:18:36Z]
如何将其转换为正确的格式?
如果两列时间都相同,则在读取json之后,我们可以选择值并将它们连接起来:
ndf = pd.read_json(q)
ndf = pd.concat([ndf.apply(lambda x : x.str[0]),ndf['current'].str[1].rename('time')],1)
current voltage time
0 0 12.891310 2017-01-15T00:08:36Z
1 0 12.895216 2017-01-15T00:18:36Z
据我所知,在read_json()中没有选项可以做到这一点。 我的建议是,一旦读取数据,便要重新处理表格。
t = pd.read_json('data.json')
t['time'] = [x[1] for x in t['current']]
t['current'] = [x[0] for x in t['current']]
t['voltage'] = [x[0] for x in t['voltage']]
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