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Python 从响应 JSON 读取特定数据

[英]Python read particular data from response JSON

 原文  2019-09-25 18:01:03  8   2    python/ json

问题描述

I am new to Python and JSON.我是 Python 和 JSON 的新手。 I am calling an API and as response body I am getting below:我打电话给 API 作为响应主体，我得到以下信息：

{'product': 'Cycle', 'available': 20, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'IN STOCK', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
{'product': 'Cooker', 'available': 958, 'blocked': 10, 'orderBooked': 10, 'transfer': 30, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '589620', 'locationId': '420', 'locationCode': '695', 'stockType': 'PRE ORDER', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
{'product': 'Cycle', 'available': 96220, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'CONFIRMED', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
{'product': 'Lapms', 'available': 89958, 'blocked': 1890, 'orderBooked': 1045, 'transfer': 230, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '78963', 'locationId': '896', 'locationCode': '463', 'stockType': 'TRANSIT', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}

The data I mentioned above will vary as per the API request.我上面提到的数据将根据 API 请求而有所不同。 So Whatever be the response.所以不管是什么反应。 Based on the Products, I need to Print Multi line data.基于产品，我需要打印多行数据。 My request is to read this Json and get the following Data:我的要求是阅读此 Json 并获取以下数据：

Name:<'product'>, Code:<'lCode'>, Location:<'locationCode'>, Stock Type:<'stockType'>, Availability:<'available'>

So For the Above Json, the output should be like:所以对于上面的Json，output应该是这样的：

Name:Cycle, Code:2000112, Location:425, Stock Type:PRE ORDER, Availability:20
Name:Cooker, Code:589620, Location:695, Stock Type:<'stockType'>, Availability:958
Name:Cycle, Code:2000112, Location:425, Stock Type:CONFIRMED, Availability:96220
Name:Lapms, Code:78963, Location:463, Stock Type:TRANSIT, Availability:89958

So Based on the Times,所以立足时代，

product is occuring, the data output will be having that much lines产品正在发生，数据 output 将有那么多行

I dont have any idea on parsing Json in Python.我对在 Python 中解析 Json 没有任何想法。 Please help in understanding how I can get the data in below format.请帮助了解如何获取以下格式的数据。 I havent tried anything as I am stuck我没有尝试任何东西，因为我被卡住了

2 个解决方案

解决方案1
 1  2019-09-25 18:14:45

This is what I believe you want.这就是我相信你想要的。 As some comments say, indeed these outputs should be treated as dictionaries or lists, with dictionaries and/or lists nested within them.正如一些评论所说，这些输出确实应该被视为字典或列表，字典和/或列表嵌套在其中。 It's important to know the difference since the first should be addressed by its key whereas the latter by its index .了解区别很重要，因为第一个应该通过它的key来解决，而后者应该通过它的index来解决。 You can find some extra information regarding how to read jsons/dictionaries here你可以在这里找到一些关于如何阅读 jsons/dictionaries 的额外信息

import pandas as pd
json_1 = {'product': 'Cycle', 'available': 20, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'IN STOCK', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
json_2 = {'product': 'Cooker', 'available': 958, 'blocked': 10, 'orderBooked': 10, 'transfer': 30, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '589620', 'locationId': '420', 'locationCode': '695', 'stockType': 'PRE ORDER', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
json_3 = {'product': 'Cycle', 'available': 96220, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'CONFIRMED', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
json_4 = {'product': 'Lapms', 'available': 89958, 'blocked': 1890, 'orderBooked': 1045, 'transfer': 230, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '78963', 'locationId': '896', 'locationCode': '463', 'stockType': 'TRANSIT', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}
support_list = []
support_list.append([json_1,json_2,json_3,json_4])
support_dict = {'Name':[],'Code':[],'Location':[],'Stock type':[],'Availability':[]}

for i in range(len(support_list[0])):
    support_dict['Name'].append(support_list[0][i]['product'])
    support_dict['Code'].append(support_list[0][i]['lCode'])
    support_dict['Location'].append(support_list[0][i]['locationCode'])
    support_dict['Stock type'].append(support_list[0][i]['stockType'])
    support_dict['Availability'].append(support_list[0][i]['available'])
df = pd.DataFrame(support_dict)
print(df)

Output: Output：

     Name     Code Location Stock type  Availability
0   Cycle  2000112      425   IN STOCK            20
1  Cooker   589620      695  PRE ORDER           958
2   Cycle  2000112      425  CONFIRMED         96220
3   Lapms    78963      463    TRANSIT         89958

EDIT: OPs says it's only list with multiple jsons in it.编辑： OPs 说它只是一个包含多个 json 的列表。

It applies the same logic:它应用相同的逻辑：

import pandas as pd
json_output= [{'product': 'Cycle', 'available': 20, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'IN STOCK', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0},{'product': 'Cooker', 'available': 958, 'blocked': 10, 'orderBooked': 10, 'transfer': 30, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '589620', 'locationId': '420', 'locationCode': '695', 'stockType': 'PRE ORDER', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0},{'product': 'Cycle', 'available': 96220, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'CONFIRMED', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0},{'product': 'Lapms', 'available': 89958, 'blocked': 1890, 'orderBooked': 1045, 'transfer': 230, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '78963', 'locationId': '896', 'locationCode': '463', 'stockType': 'TRANSIT', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}]
support_dict = {'Name':[],'Code':[],'Location':[],'Stock type':[],'Availability':[]}

for i in range(len(json_output)):
    support_dict['Name'].append(json_output[i]['product'])
    support_dict['Code'].append(json_output[i]['lCode'])
    support_dict['Location'].append(json_output[i]['locationCode'])
    support_dict['Stock type'].append(json_output[i]['stockType'])
    support_dict['Availability'].append(json_output[i]['available'])
df = pd.DataFrame(support_dict)
print(df)

Output: Output：

     Name     Code Location Stock type  Availability
0   Cycle  2000112      425   IN STOCK            20
1  Cooker   589620      695  PRE ORDER           958
2   Cycle  2000112      425  CONFIRMED         96220
3   Lapms    78963      463    TRANSIT         89958

EDIT 2: If you want the output as lines:编辑 2：如果您希望 output 作为行：

json_output= [{'product': 'Cycle', 'available': 20, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'IN STOCK', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0},{'product': 'Cooker', 'available': 958, 'blocked': 10, 'orderBooked': 10, 'transfer': 30, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '589620', 'locationId': '420', 'locationCode': '695', 'stockType': 'PRE ORDER', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0},{'product': 'Cycle', 'available': 96220, 'blocked': 0, 'orderBooked': 0, 'transfer': 0, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '2000112', 'locationId': '745', 'locationCode': '425', 'stockType': 'CONFIRMED', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0},{'product': 'Lapms', 'available': 89958, 'blocked': 1890, 'orderBooked': 1045, 'transfer': 230, 'restock': 0, 'unavailable': 0, 'total': 0, 'lCode': '78963', 'locationId': '896', 'locationCode': '463', 'stockType': 'TRANSIT', 'adminStock': {'rp': 0, 'management': 0, 'rc': 0, 'total': 0, 'default': 0}, 'isBlocked': False, 'plannedDate': None, 'plannedUpdate': True, 'bookedQuantity': 0}]

for i in range(len(json_output)):
    print('Name: ' + str(json_output[i]['product']) + ', Code: ' + str(json_output[i]['lCode']) + ', Location: ' + str(json_output[i]['locationCode']) + ', Stock type: ' + str(json_output[i]['stockType']) + ', Availability: ' + str(json_output[i]['available']))

Output: Output：

Name: Cycle, Code: 2000112, Location: 425, Stock type: IN STOCK, Availability: 20
Name: Cooker, Code: 589620, Location: 695, Stock type: PRE ORDER, Availability: 958
Name: Cycle, Code: 2000112, Location: 425, Stock type: CONFIRMED, Availability: 96220
Name: Lapms, Code: 78963, Location: 463, Stock type: TRANSIT, Availability: 89958

解决方案2
 0  2019-09-25 18:20:15

If you parse json file you will get standard python dictionary.如果您解析 json 文件，您将获得标准 python 字典。

import json

json_data = '{"a": 1, "b": 2, "c": 3, "d": 4, "e": 5}'
parsed_json = (json.loads(json_data))

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