我面临一个问题，关于使用python修改JSON文件的好方法
JSON请求：
{
"reports": [{
"data": {
"rows": [{
"metrics": [{
"values": ["27.8", "4", "4", "6.95", "1.0", "0.0", "3.8834951456310676"]
}
],
"dimensions": ["TEST1", "20180725"]
}, {
"metrics": [{
"values": ["75.0", "12", "12", "6.25", "1.0", "0.0", "3.4782608695652173"]
}
],
"dimensions": ["TEST2", "20180725"]
}
],
"maximums": [{
"values": ["1665.0", "140", "126", "65.0", "3.0", "0.0", "50.0"]
}
],
"minimums": [{
"values": ["0.0", "0", "0", "0.0", "0.0", "0.0", "0.0"]
}
],
"isDataGolden": true,
"totals": [{
"values": ["27045.99", "3274", "2831", "8.260839951130116", "1.1564818085482163", "0.0", "4.949387227049424"]
}
],
"rowCount": 358
},
"columnHeader": {
"dimensions": ["ga:productName", "ga:date"],
"metricHeader": {
"metricHeaderEntries": [{
"type": "CURRENCY",
"name": "ga:itemRevenue"
}, {
"type": "INTEGER",
"name": "ga:itemQuantity"
}, {
"type": "INTEGER",
"name": "ga:uniquePurchases"
}, {
"type": "CURRENCY",
"name": "ga:revenuePerItem"
}, {
"type": "FLOAT",
"name": "ga:itemsPerPurchase"
}, {
"type": "CURRENCY",
"name": "ga:productRefundAmount"
}, {
"type": "PERCENT",
"name": "ga:buyToDetailRate"
}
]
}
}
}
]
}
寻找：
基于“尺寸” 和“ metricHeaderEntries”
的矩阵中的值修改（或重新创建）报告的干净方法是什么
LINE1 - {"ga:productName": "NAME","ga:date": "NAME","ga:itemRevenue": "value1", "ga:itemQuantity": "value2", ... }
LINE2 - {"ga:productName": "NAME","ga:date": "NAME","ga:itemRevenue": "value1", "ga:itemQuantity": "value2", ... }
EDIT1：
{
"ga:productName": "NAME", #from dimension
"ga:date": "NAME", #from dimension
"ga:itemRevenue": "value1", #from metricHeaderEntries
"ga:itemQuantity": "value2", #from metricHeaderEntries
...
}
{
"ga:productName": "NAME2", #from dimension
"ga:date": "NAME2", #from dimension
"ga:itemRevenue": "value3", #from metricHeaderEntries
"ga:itemQuantity": "value4", #from metricHeaderEntries
...
}
以这种方式工作的价值：
"metrics": [{"values": ["27.8", "4", "4", "6.95", "1.0", "0.0","3.8834951456310676"] #headers in metricHeaderEntries
"dimensions": ["TEST1", "20180725"] #header in dimension
或相似（我对总计不感兴趣，依此类推）
寻找解决方案/样本/说明，以及BQ接受方式。
额外：
我了解从JSON请求中获取数据的方式，例如：
responce[][][]
但是这种情况对我来说太棘手了（
示例：
理想情况下，这是表格的外观 THIS IS HOW IDEALLY TABLE SHOULD LOOK LIKE
这是google提供的打印此数据的方式（但需要将其转换为我上面解释的格式
def print_response(response):
for report in response.get('reports', []):
columnHeader = report.get('columnHeader', {})
dimensionHeaders = columnHeader.get('dimensions', [])
metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])
for row in report.get('data', {}).get('rows', []):
dimensions = row.get('dimensions', [])
dateRangeValues = row.get('metrics', [])
for header, dimension in zip(dimensionHeaders, dimensions):
print header + ': ' + dimension
for i, values in enumerate(dateRangeValues):
print 'Date range: ' + str(i)
for metricHeader, value in zip(metricHeaders, values.get('values')):
print metricHeader.get('name') + ': ' + value
答案 0 :(得分：0)
因此您的编辑仍与JSON不匹配；在维度上，您有一个值列表，而不是键：值
"dimensions": [
"ga:productName",
"ga:date"
],
这意味着您没有任何价值，因此您的示例不正确。 在“ metricHeaderEntries”中，您将具有以下内容：
"metricHeader": {
"metricHeaderEntries": [
{
"type": "CURRENCY",
"name": "ga:itemRevenue"
},
{
"type": "INTEGER",
"name": "ga:itemQuantity"
},
{
"type": "INTEGER",
"name": "ga:uniquePurchases"
},
{
"type": "CURRENCY",
"name": "ga:revenuePerItem"
},
{
"type": "FLOAT",
"name": "ga:itemsPerPurchase"
},
{
"type": "CURRENCY",
"name": "ga:productRefundAmount"
},
{
"type": "PERCENT",
"name": "ga:buyToDetailRate"
}
]
}
因此即使在这种情况下也与您的示例不匹配，因为在“ metricHeaderEntries”下您没有示例中显示的“ ga：itemRevenue”或“ ga：itemQuantity”值。
无论如何，您都可以像使用python字典一样实现JSON的正确性，因此，在字典的情况下可以通过键选择元素，在列表的情况下可以通过索引来选择元素。
如果有时间我会尝试解决您的问题，即使您提供的节点不正确，也可以从示例中获取值。
答案：
即使我对键值进行了硬编码而不是从原始JSON中提取代码也只是为了让您了解其工作原理，我还是解决了您的问题；请让我知道这是否是您所期望的：
new_list=[]
l=a["reports"][0]["data"]["rows"]#get to "rows" key from a, where a is your JSON readed as dictionary
for i in l:#iterate rows key for search the needed values for each lines
dict_line={}#create a dictionary for each line
dict_line["ga:productName"]=i["dimensions"][0]#add to the dictionary dict_lineth key ga:productName and the product name as value
dict_line["ga:date"]=i["dimensions"][1]#add to the dictionary dict_lineth key ga:date and the product date as value
j= (i["metrics"][0]['values'])#for each product line I create a key node and value
dict_line["ga:itemRevenue"]=j[0]
dict_line["ga:itemQuantity"]=j[1]
dict_line["ga:uniquePurchases"]=j[2]
dict_line["ga:revenuePerIte"]=j[3]
dict_line["ga:itemsPerPurchase"]=j[4]
dict_line["ga:productRefundAmount"]=j[5]
dict_line["ga:buyToDetailRate"]=j[6]
new_list.append(dict_line)
print (new_list)
这是结果：
[
{
"ga:productName": "TEST1",
"ga:itemRevenue": "27.8",
"ga:uniquePurchases": "4",
"ga:date": "20180725",
"ga:revenuePerIte": "6.95",
"ga:productRefundAmount": "0.0",
"ga:itemQuantity": "4",
"ga:itemsPerPurchase": "1.0",
"ga:buyToDetailRate": "3.8834951456310676"
},
{
"ga:productName": "TEST2",
"ga:itemRevenue": "75.0",
"ga:uniquePurchases": "12",
"ga:date": "20180725",
"ga:revenuePerIte": "6.25",
"ga:productRefundAmount": "0.0",
"ga:itemQuantity": "12",
"ga:itemsPerPurchase": "1.0",
"ga:buyToDetailRate": "3.4782608695652173"
}
]