如何使用Django DRF将CSV杂乱数据转换为JSON结构化数据

Question

我写了没有模型的Django API。我使用序列化器。在视图中，此api需要一个csv，当我调用get api时，它会给我我不需要的数据。我想要更有条理。但是我不知道显示格式化的json需要使用哪个功能。

view.py

private evaluate(value: number, rule: string) {
    const matches: any = rule.match(/(\D+?)\s*(\d+)/);
      if (matches === null) {
        return null;
      } else {
        const operator = matches[1];
        const number = matches[2];
        this.logger.debug(`Value: ${value}, Operator: ${operator}, Number: ${number}`);
        switch (operator) {
          case '>' : return value > Number(number);
          case '<' : return value < Number(number);
          case '==' : return value === Number(number);
        }

        return null;
      }
}

serializers.py

class bonolothaView(views.APIView):

    def get(self, request):

        # Load CSV Data
        data = pd.read_csv("Data/ShapeUpData.csv", index_col=0)


        # Load Specific Column in Dataframe
        df = pd.DataFrame(data, columns = [ 'Challan Date' , 'Region', 'Net Sales', 'Qty'])


        df.columns = df.columns.str.strip().str.replace(' ', '')
        yourdata= [{"challandate": df["ChallanDate"], "region":df["Region"] , "qty": df["Qty"], "netsales": df["NetSales"]}]

        print(yourdata)
        results = bonolothaSerializer(yourdata, many=True).data
        return Response(results)

data.csv标题为：

from rest_framework import serializers

class bonolothaSerializer(serializers.Serializer):

    challandate = serializers.CharField()
    region = serializers.CharField()
    qty = serializers.CharField()
    netsales = serializers.CharField()

challan Date Region          Qty      Sales 
07/03/2017   Banani           1       7748
07/03/2017   Gulsan           1       7748
07/08/2017   Noakhali         2       8979

when i call the postman it gives me output like that:

我希望从我的csv中获得该类型的JSON文件。但是实际输出就是这样

[  
    {  
        "Challan Date":"07\/03\/2017",
        "Region":"Dhaka North",
        "Qty":1,
        "Net Sales":7748
    },
    {  
        "Challan Date":"07\/03\/2017",
        "Region":"Dhaka North",
        "Qty":1,
        "Net Sales":7748
    }
]