REST Calls in Python. JSON. Pandas.

I recently had to make REST calls in Python for sending data to Azure EventHub.

In this particular case I could not use the Python SDK to talk to EventHub. As I wrote down the code to make the raw REST calls, I came across several gems. Am listing them down below.


  • Use the python ‘requests’ library.
    • i am yet to figure out how to make async calls. can i use this library for async as well or would I have to use something else
  • Sending JSON is way to go.
    • Don’t even try sending anything else
  • Pandas has great functionality to convert  Series/DataFrames to JSON.
    • the ‘to_json’ function has awesome functionality including orient by ‘records’ etc
  • Python has an awesome library called ‘json’ to deal with JSON data.
    • To deserialize ,use json.loads()
    • In particular,  to convert dict to JSON use  json.dumps().
    • Note: If you want to preserve the order, one would have to use ‘collections.OrderedDict’. Check this link

Check this out:

myj = '[{"reward":30,"actionname":"x","age":60,"gender":"M","weight":150,"Scored Labels":30.9928596354},{"reward":20,"actionname":"y","age":60,"gender":"M","weight":150,"Scored Labels":19.0217225957}]'

myj_l = json.loads(myj, object_pairs_hook=collections.OrderedDict)

[OrderedDict([(u'reward', 30), (u'actionname', u'x'), (u'age', 60), (u'gender', u'M'), (u'weight', 150), (u'Scored Labels', 30.9928596354)]),
 OrderedDict([(u'reward', 20), (u'actionname', u'y'), (u'age', 60), (u'gender', u'M'), (u'weight', 150), (u'Scored Labels', 19.0217225957)])]

for item in myj_l:
    print json.dumps(item)

{"reward": 30, "actionname": "x", "age": 60, "gender": "M", "weight": 150, "Scored Labels": 30.9928596354}
{"reward": 20, "actionname": "y", "age": 60, "gender": "M", "weight": 150, "Scored Labels": 19.0217225957}




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