CODEWITHSUNDEEP
pythondictionary
PyAn
PyAn

Reputation: 291

Defaultdict with Dict

I have a dictionary like this

a = [{'CohortList': [{'DriverValue': 0.08559936}, {'DriverValue': 0.08184596527051588}], 
      '_id': {'DriverName': 'Yield', 'MonthsOnBooks': 50, 'SegmentName': 'LTV110-Super Prime'}},
     {'CohortList': [{'DriverValue': 2406.04329}, {'DriverValue': 2336.0058100690103}, ], 
      '_id': {'DriverName': 'ADB', 'MonthsOnBooks': 15, 'SegmentName': 'LTV110-Super Prime'}},
     {'CohortList': [{'DriverValue': 2406.04329}, {'DriverValue': 2336.0058100690103}, ], 
      '_id': {'DriverName': 'ADB', 'MonthsOnBooks': 16, 'SegmentName': 'LTV110-Prime'}}]

I want to construct a list of dictionary with values as lists from the above dict set like this

    {
    "LTV110-Prime": [
        {
            "ADB": [
                {
                    "16": 1500
                }
            ]
        },
        {
            "Yield": []
        }
    ],
    "LTV110-Super Prime": [
        {
            "ADB": [
                {
                    "15": 1500
                }
            ]
        },
        {
            "Yield": [
                {
                    "50": 0.09
                }
            ]
        }
    ]
}

Essentially, I want to group ADB and Yield for each segments with their values.

This is what I have done so far to achieve this target. The values for ADB are mean of DriverValue from CohortList list. I have used statistics.mean to find out the mean of the mapped values.

sg_wrap = defaultdict(dict)
for p in pp_data:
    mapped = map(lambda d: d.get('DriverValue', 0), p['CohortList'])
    dic = {p['_id']['MonthsOnBooks']: statistics.mean(mapped)}

    print(p)
print(sg_wrap)

I am not able to append the Drivers to the inner dict. Please help.

Upvotes: 0

Views: 3113

Answers (1)

tobias_k
tobias_k

Reputation: 82889

Since you are wrapping everything into lists, you do not need a defaultdict(dcit) but a defaultdict(list).

The following seems to work:

result = defaultdict(list)
for entry in a:
    id_ = entry["_id"]
    name, months, segment = id_["DriverName"], id_["MonthsOnBooks"], id_["SegmentName"]
    values = [x["DriverValue"] for x in entry["CohortList"]]
    d = {name: [{months: statistics.mean(values)}]}
    result[segment].append(d)

Result is 

{'LTV110-Prime': [{'ADB': [{16: 2371.0245500345054}]}],
 'LTV110-Super Prime': [{'Yield': [{50: 0.08372266263525793}]},
                        {'ADB': [{15: 2371.0245500345054}]}]}

Upvotes: 2

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