Convert a string to nested dictionary or extract from string

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Hi

I am scrapping a website graph and getting back a string whcih to me looks like a nested dictionary, however, I cannot seem to work out how to convert it to a nested dictionary that Python will understand.

'{"values":[{"data":[{"x":1634594400000,"y":88.443,"name":"DA 2021-10-19"},{"x":1634680800000,"y":85.523,"name":"DA 2021-10-20"},{"x":1634767200000,"y":91.224,"name":"DA 2021-10-21"},{"x":1634853600000,"y":86.035,"name":"DA 2021-10-22"},{"x":1634940000000,"y":86.42,"name":"WE 2021-10-23\\/24"},{"x":1635026400000,"y":86.42,"name":"WE 2021-10-23\\/24"},{"x":1635112800000,"y":86.854,"name":"DA 2021-10-25"},{"x":1635199200000,"y":88.999,"name":"DA 2021-10-26"},{"x":1635285600000,"y":87.604,"name":"DA 2021-10-27"},{"x":1635372000000,"y":85.434,"name":"DA 2021-10-28"},{"x":1635458400000,"y":75.037,"name":"DA 2021-10-29"},{"x":1635544800000,"y":62.555,"name":"WE 2021-10-30\\/31"},{"x":1635631200000,"y":62.555,"name":"WE 2021-10-30\\/31"},{"x":1635721200000,"y":62.479,"name":"DA 2021-11-01"},{"x":1635807600000,"y":64.1,"name":"DA 2021-11-02"},{"x":1635894000000,"y":68.19,"name":"DA 2021-11-03"},{"x":1635980400000,"y":77.484,"name":"DA 2021-11-04"},{"x":1636066800000,"y":71.698,"name":"DA 2021-11-05"},{"x":1636153200000,"y":73.138,"name":"WE 2021-11-06\\/07"},{"x":1636239600000,"y":73.138,"name":"WE 2021-11-06\\/07"},{"x":1636326000000,"y":73.225,"name":"DA 2021-11-08"},{"x":1636412400000,"y":77.932,"name":"DA 2021-11-09"},{"x":1636498800000,"y":72.372,"name":"DA 2021-11-10"},{"x":1636585200000,"y":70.271,"name":"DA 2021-11-11"},{"x":1636671600000,"y":73.99,"name":"DA 2021-11-12"},{"x":1636758000000,"y":73.479,"name":"WE 2021-11-13\\/14"},{"x":1636844400000,"y":73.479,"name":"WE 2021-11-13\\/14"},{"x":1636930800000,"y":73.994,"name":"DA 2021-11-15"},{"x":1637017200000,"y":79.68,"name":"DA 2021-11-16"},{"x":1637103600000,"y":93.825,"name":"DA 2021-11-17"},{"x":1637190000000,"y":94.014,"name":"DA 2021-11-18"},{"x":1637276400000,"y":93.261,"name":"DA 2021-11-19"},{"x":1637362800000,"y":86.906,"name":"WE 2021-11-20\\/21"},{"x":1637449200000,"y":86.906,"name":"WE 2021-11-20\\/21"},{"x":1637535600000,"y":87.392,"name":"DA 2021-11-22"},{"x":1637622000000,"y":84.204,"name":"DA 2021-11-23"},{"x":1637708400000,"y":91.352,"name":"DA 2021-11-24"},{"x":1637794800000,"y":94.053,"name":"DA 2021-11-25"},{"x":1637881200000,"y":92.802,"name":"DA 2021-11-26"},{"x":1637967600000,"y":87.756,"name":"WE 2021-11-27\\/28"},{"x":1638054000000,"y":87.756,"name":"WE 2021-11-27\\/28"},{"x":1638140400000,"y":88.082,"name":"DA 2021-11-29"},{"x":1638226800000,"y":93.359,"name":"DA 2021-11-30"},{"x":1638313200000,"y":91.586,"name":"DA 2021-12-01"},{"x":1638399600000,"y":97.103,"name":"DA 2021-12-02"},{"x":1638486000000,"y":94.284,"name":"DA 2021-12-03"}]}],"unit":"\\u20ac\\/MWh"}'

Thanks
Ed

What I have tried:

Python

df = json.loads(data)

Posted 2-Dec-21 23:56pm

Swiss Edwards

Updated 3-Dec-21 1:57am

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Richard MacCutchan · Accepted Answer · 2021-12-03T01:57:00

The json.loads function already does that for you, so df contains a dictionary of items. Some of these will be lists, and some dictionaries, nested to different levels. Python fully understands this, which you can verify by the following print statements, and variations thereof.

Python

values = df['values']
print(F"values: {df['values']}")
value0 = values[0]
print(F"value0: {values[0]}")
data = value0['data']
print(F"data: {data}")
print("")
for entry in data:
    print(F"x: {entry['x']}, y: {entry['y']}, name: {entry['name']}")

So that should help you to break it down and extract the items you are interested in.