Get specific key from multiple keys in python dictionary

[pradeepkumarbe]

I have CSV like this(below is the sample)

Month Seg Zone Dist SALES
2018-12 HIGH A-ZONE NY 200
2018-12 LOW A-ZONE NY 100
2018-12 MEDIUM A-ZONE NY 300
And So on....
Out of above csv file I have created sql operation like in python

In SQL I would do like this
SELECT Month,Seg,SUM(Sales)
FROM CSV
group by Month,Seg

Same like I have created in python

with open('/Sales.csv','r') as sixm_sales:
ca_dict_reader = csv.DictReader(sixm_sales,delimiter='|')
agg_6m = defaultdict(float)
for row in ca_dict_reader:
   agg_6m[row["Month"],row["Seg"]] += float(row["Sales"])
print(agg_6m)

Dict agg_6m which gives below output like this

defaultdict(<class 'float'>, {('2018-12', 'HIGH'): 2945.17, ('2018-12', 'LOW'): 5064.99, ('2018-12', 'MEDIUM'): 5036.360000000001, ('2018-12', 'NON_TARGET'): 33.0, ('2018-11', 'HIGH'): 3719.67, ('2018-11', 'LOW'): 5029.84, ('2018-11', 'MEDIUM'): 4899.49, ('2018-11', 'NON_TARGET'): 36.0, ('2018-10', 'HIGH'): 4381.83, ('2018-10', 'LOW'): 4826.76, ('2018-10', 'MEDIUM'): 4762.869999999999, ('2018-10', 'NON_TARGET'): 32.0, ('2018-09', 'HIGH'): 2788.67, ('2018-09', 'LOW'): 4754.07, ('2018-09', 'MEDIUM'): 4803.16, ('2018-09', 'NON_TARGET'): 28.0, ('2018-08', 'HIGH'): 3915.5, ('2018-08', 'LOW'): 5220.99, ('2018-08', 'MEDIUM'): 5254.34, ('2018-08', 'NON_TARGET'): 36.0, ('2018-07', 'HIGH'): 4172.33, ('2018-07', 'LOW'): 4619.33, ('2018-07', 'MEDIUM'): 4516.65, ('2018-07', 'NON_TARGET'): 30.0})

From this I am trying to create JSON like below

"goal": {
"title": "Six Month Sales",
"value": 190,
"percentage": "-5.0",
"max": 9.84,
"min": 2.23,
"category": ["2018-07","2018-08","2018-09","2018-10","2018-11","2018-12"],
"xaxistitle": "Month",
"yaxistitle": "Sales",
"series": [
{
"Name": "MEDIUM",
"data": [3,4,6.11,4.19,8.96,6.08,2.23]
}
}

From agg_6m dictionary I have to create JSON output like above where Month will go in Category , Seg in name and sales in data. How this can be done?