如何从 json 文件中提取特定数据并将其保存为 python 文件中的 csv 文件

Question

I have imported the following json file " https://pastebin.com/embed_js/PknXEGq2 " and extracted all the products within it, and now i need to print each available product in this particular format: “You can buy Product_Name at our store at Product_Price ”, Product_Name is the product name truncated at 30, and Product_Price is the rounded product price in dd.d format (example: 13.34 ==> 13.3).

1. if the product is unavailable, it logs the product id and product name

2. if a clue of the product's availability can't be found, it logs an error

3. it saves the available products in a csv file.

    import json data = json.load(open('data.json')) save_data = [] def get_products(): query_access = data['Bundles'] for question_data in query_access: save_data.append(question_data) print(save_data) get_products()

Answer 1

assuming your json file looks like:

{
  "my_data": [
    {
      "name": "Garlic",
      "price": 2.2
    },
    {
      "name": "Potatoes",
      "price": 7.1,
      "quality": "Decent"
    },
    {
      "name": "Tomatoes",
      "price": 6.9,
      "avaiable": "No"
    }
  ],
  "useless_data": [
    {
      "some": "useless",
      "data": [
        "here"
      ]
    }
  ]
}

You code could be something like if you needed only name, price and quantity:

import json
import csv

data = json.load(open("MyBeautifulFile.json"))["my_data"]
useful_columns = ["name", "price", "quality"]
default_value = ""

with open('MyBeautifulFile.csv', mode='w') as csv_file:
    writer = csv.DictWriter(csv_file, fieldnames=useful_columns)
    writer.writeheader()


    for obj in data:
        row = {}
        for column in useful_columns:
            if column in obj.keys():
                row[column] = obj[column]
            else:
                row[column] = default_value
        writer.writerow(row)