Python-71-讀取Json資料練習

2021-02-08

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python
2023-06-01

1.整理非結構性資料

2.整理成半結構性資料json資料 (可以使用json 線上編輯器來測試自己的json檔案有無錯誤)

3.整理出結構性資料(讀出自己所需的資料)

1.整理非結構性資料

id	1000
type	BigBox
name	Mall of America
address	340 W Market
city	Bloomington
state	MN
zip	55425

location
	lat=44.85466
	lon=93.24565

hours	Mon: 10-9:30; Tue: 10-9:30; Wed: 10-9:30; Thurs: 10-9:30; Fri: 10-9:30; Sat: 10-9:30; Sun: 11-7
services
	Geek Squad Services,
	Best Buy Mobile,
	Best Buy For Business


id	3000
type	BigBox2
name	Mall of America2
address	340 W Market2

city	Bloomingto2n
state	MN2
zip	554251
location
	lat=44.854662
	lon=93.245652

hours	Mon: 10-9:320; Tue: 10-9:30; Wed: 10-9:30; Thurs: 10-9:30; Fri: 10-9:30; Sat: 10-9:30; Sun: 11-7
services
	Geek Squad Services2,
	Best Buy Mobile2,
	Best Buy For Busines2s

在組json 資料時注意:

[ ] =只有值的時候 ["值1","值2","值3","值n"]

{ } = 有 key : value 時使用

2.整理成半結構性資料json資料

(可以使用json 線上編輯器來測試自己的json檔案有無錯誤)

線上json編輯器

json14.json

[
  {
    "id": 1000,
    "type": "BigBox",
    "name": "Mall of America",
    "address": "340 W Market",
    "address2": "",
    "city": "Bloomington",
    "state": "MN",
    "zip": "55425",
    "location": {
      "lat": 44.85466,
      "lon": -93.24565
    },
    "hours": "Mon: 10-9:30; Tue: 10-9:30; Wed: 10-9:30; Thurs: 10-9:30; Fri: 10-9:30; Sat: 10-9:30; Sun: 11-7",
    "services": [
      "Geek Squad Services",
      "Best Buy Mobile",
      "Best Buy For Business"
    ]
  },
  {
    "id": 1002,
    "type": "BigBox",
    "name": "Tempe Marketplace",
    "address": "1900 E Rio Salado Pkwy",
    "address2": "",
    "city": "Tempe",
    "state": "AZ",
    "zip": "85281",
    "location": {
      "lat": 33.430729,
      "lon": -111.89966
    },
    "hours": "Mon: 10-9; Tue: 10-9; Wed: 10-9; Thurs: 10-9; Fri: 10-10; Sat: 10-10; Sun: 10-8",
    "services": [
      "Windows Store",
      "Geek Squad Services",
      "Best Buy Mobile",
      "Best Buy For Business"
    ]
   }
]

看看效果

複習:新增陣列與物件

store_list = []#可存list陣列 [第一筆，第二筆]

store_list.append("新竹")
store_list.append("台中")

print(store_list)#['新竹', '台中']

store_details = {} #宣告字典類型 (可存key:value)
store_details['name'] = "John"
store_details['city'] = "台北"

print(store_details)#{'name': 'John', 'city': '台北'}

3.再開一個檔案去讀取json14.json，整理出結構性資料(讀出自己所需的資料)

從大型數據集中解析出json(字典)。key:values從每個對像中提取一些內容，印出結果。

這裡只需要所有的name跟city 的欄位，請把整理抓出後存入陣列、並印出結果

例:

json15.py

""""
從大型數據集中解析出數組。
key:values從每個對像中提取一些內容，
印出結果。
[{key:value,key:value},{key:value,key:value}]
"""


import json

input_file = open ('json14.json')
json_array = json.load(input_file)
store_list = []#可存list陣列 [第一筆，第二筆]


for item in json_array:
    store_details = {} #宣告字典類型 (可存key:value)
    store_details['name'] = item['name']
    store_details['city'] = item['city']
    store_list.append(store_details)

print(store_list)

看看效果

4.這次只需要id、location中的lon(經度的)資料，請把整理抓出後存入陣列、並印出結果

例:

json16.json

import json

input_file = open ('json14.json')
json_array = json.load(input_file)
store_list = []#可存list陣列 [第一筆，第二筆]

for item in json_array:
   
    store_details = {}#宣告字典類型 (可存key:value)
    store_details['id'] = item['id'] 
    store_details['location'] = item['location']['lon'] #抓出經度longitude
    store_list.append(store_details)

print(store_list)