mysql - How to Python Pandas Dataframe outputs from nested json? -


i'm python beginner. below 'steps_detail' data that;

>>> steps_detail {u'activities-calories':      [{u'value': u'1240', u'datetime': u'2015-04-13'}],     u'activities-calories-intraday':          {u'datasettype': u'minute', u'datasetinterval': 1, u'dataset':          [         {u'mets': 10, u'time': u'00:00:00', u'value': 0.8396000266075134, u'level': 0},          {u'mets': 10, u'time': u'00:01:00', u'value': 0.8396000266075134, u'level': 0},          {u'mets': 10, u'time': u'00:02:00', u'value': 0.8396000266075134, u'level': 0},         {u'mets': 10, u'time': u'23:58:00', u'value': 0.8396000266075134, u'level': 0},          {u'mets': 10, u'time': u'23:59:00', u'value': 0.8396000266075134, u'level': 0}          ]               } }

and want see data using dataframe of pandas that; because using data save mysql.

mets time       value              level 10   00:00:00   0.8396000266075134  0  10   00:01:00   0.8396000266075134  0  10   00:02:00   0.8396000266075134  0 10   23:58:00   0.8396000266075134  0  10   23:59:00   0.8396000266075134  0

it's not easy me, , has idea? i'm trying, error. 

>>>d= dataframe(steps_detail) raise valueerror('mixing dicts non-series may lead 'valueerror: mixing dicts non-series may lead ambiguous ordering.

you can try this

import pandas pd  pd.dataframe(steps_detail['activities-calories-intraday']['dataset'])

this return following output

    level  mets      time   value 0      0    10  00:00:00  0.8396 1      0    10  00:01:00  0.8396 2      0    10  00:02:00  0.8396 3      0    10  23:58:00  0.8396 4      0    10  23:59:00  0.8396

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