I am trying to extract data from this json file in format like this:
[{'from': '2019-11-22T12:45:00-05:00',
'to': '2019-11-22T12:50:00-05:00',
'value': [{'value': 0, 'label': 'fw'}, {'value': 0, 'label': 'bw'}]},
{'from': '2019-11-22T12:50:00-05:00',
'to': '2019-11-22T12:55:00-05:00',
'value': [{'value': 0, 'label': 'fw'}, {'value': 1, 'label': 'bw'}]},
{'from': '2019-11-22T12:55:00-05:00',
'to': '2019-11-22T13:00:00-05:00',
'value': [{'value': 0, 'label': 'fw'}, {'value': 0, 'label': 'bw'}]}]
The goal is to get the columns "from", "to", "value" and label" So I should have 6 row of data, 2 row for each instance of time, something like this:
I have tried using
pd.DataFrame function from pandas and i get output like this:
Any suggestion how do i go about this?
You could explode
the value
column, and then extract the actual label
and value
fields. But IMHO it is simpler and faster to pre-process data
df = pd.DataFrame([[d['from'], d['to'], d1['value'], d1['label']]
for d in data for d1 in d['value']],
columns=['from', 'to', 'value', 'label'])
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