Question

我有一个包含以下内容的CSV文件：

来源：data.opennepal.net

District,Zone,Geographical Region,Development Region,Causalities,In Number
Sindhupalchok,Bagmati,Mountain,Central,Total No. of Houses,66688
Sindhupalchok,Bagmati,Mountain,Central,Total Population,287798
Sindhupalchok,Bagmati,Mountain,Central,Dead Male,1497
Sindhupalchok,Bagmati,Mountain,Central,Dead Female,1943
Kathmandu,Bagmati,Hill,Central,Total No. of Houses,436344
Kathmandu,Bagmati,Hill,Central,Total Population,1744240
Kathmandu,Bagmati,Hill,Central,Dead Male,621
Kathmandu,Bagmati,Hill,Central,Dead Female,600

我的目标是从中生成这样的JSON对象：

{
  "district":{
    "Sindhupalchok":{
      "Causalities":{
        "Total No. of Houses":66688,
        "Total Population":287798,
        "Dead Male":1497,
        "Dead Female":1943
      },
      "geoInfo":{
        "Zone":"Bagmati",
        "geography":"Mountain",
        "Dev Region":"Central"
      }
    },
    "Kathmandu":{
      "Causalities":{
        "Total No. of Houses":436344,
        "Total Population":1744240,
        "Dead Male":621,
        "Dead Female":600
      },
      "geoInfo":{
        "Zone":"Bagmati",
        "geography":"Hill",
        "Dev Region":"Central"
      }
    }
  }
}

我尝试过使用csv.DictReader（csvfile，fieldnames），但它会在JSON中生成冗余节点，这些节点难以解析且不必要的长度。

我正在使用python 2.x. 这是我到目前为止的尝试：

>>> csvData = open('data.csv','rb')
>>> fieldnames = ("district", "zone", "geographicalRegion", "developmentRegion", "causalities", "injuredNumber")
>>> reader = csv.DictReader(csvData, fieldnames)
>>> rawJson = json.dumps([ row for row in reader ])

rawJson不是我一直在追求的人。它只是将字段名称与各个数据集进行映射。

所以问题是：如何在没有冗余节点的情况下创建这个JSON对象？

Answer 1

正如glibdud在评论中提到的那样，您需要手动循环数据，以便您可以创建所需的JSON结构。

我们将{CSV}数据的每一行都作为dict阅读，并检查我们是否遇到过新区，如果是，我们会为data dict创建一个新区域它，并将geoInfo dict插入data。然后我们可以收集该线路的伤亡数据以及该区域的后续线路。一旦我们收集了所有数据，我们就可以将data dict插入主all_data dict。

为了测试代码，我将.csv数据放入名为＆＃39; qdata.csv＆＃39;

的文件中

import csv
import json

filename = 'qdata.csv'
fieldnames = ('district', 'Zone', 'geography', 
    'Dev Region', 'casualties', 'injured')

geo_keys = ('Zone', 'geography', 'Dev Region')

all_data = {}
with open(filename, 'rb') as csvfile:
    reader = csv.DictReader(csvfile, fieldnames)
    # skip header
    next(reader)
    current_district = None
    for row in reader:
        district = row['district']
        if district != current_district:
            current_district = district
            data = all_data[district] = {}
            casualties = data['Casualties'] = {}
            data['geoInfo'] = dict((k, row[k]) for k in geo_keys)
        casualties[row['casualties']] = row['injured']

print json.dumps(all_data, indent=4, sort_keys=True)

输出

{
    "Kathmandu": {
        "Casualties": {
            "Dead Female": "600", 
            "Dead Male": "621", 
            "Total No. of Houses": "436344", 
            "Total Population": "1744240"
        }, 
        "geoInfo": {
            "Dev Region": "Central", 
            "Zone": "Bagmati", 
            "geography": "Hill"
        }
    }, 
    "Sindhupalchok": {
        "Casualties": {
            "Dead Female": "1943", 
            "Dead Male": "1497", 
            "Total No. of Houses": "66688", 
            "Total Population": "287798"
        }, 
        "geoInfo": {
            "Dev Region": "Central", 
            "Zone": "Bagmati", 
            "geography": "Mountain"
        }
    }
}

此输出不是完全您在问题中得到的内容，但我认为您应该可以从此处获取。：）

在Python中将CSV转换为重构的JSON

1 个答案:

输出