And as someone kindly commented and pointed out it appears i am iterating over keys instead of the different dictionaries, and this is where I get stuck because im not sure what to do? From my understanding it looks like the JSON is split into 3 different arrays with JSON object for each, but that does not appear to be the case according to the structure? I apologize for the length of the code, but I want some resemblance of context to what i am trying to accomplish. Returns the following error: TypeError: string indices must be integers. The code im using to try to do this: f = open('output.json') "delivery_point_barcode": "997059901010",Īfter storing the API output the trouble is trying to parse the returned output (Sample output) into a CSV format. R = requests.post(url, data=dict_ready, headers=headers) Here is my current code for reference: import pyodbcĬonn = nnect('DSN=DSN', autocommit=True) If the JSON file has a different structure, you may need to adjust the code accordingly.I am currently trying to convert a JSON output from an API request to a CSV format so i can store the results into our database. In the example I provided, the JSON file is an array of objects, with each object having the same keys. It is essential to mention that the structure of the JSON file should match the structure that is expected by the code. The file can be generated from different sources, such as an API or data scraping, or it could be a file that you have created on your own. It could be any file that has a valid JSON format, such as a file containing information about products, customers, or weather data. Convert CSV to JSON with Python Hannah Follow 2 min read - 5 I got help from a youtube tutorial linked below import csv and import json packages Create a file path to your. The data.json file in the previous example is a file that contains data in JSON format. You can do this: Read your JSON and write-in a CSV file with importing json and csv modules. If the JSON file has a different structure, you may need to adjust the code accordingly. Please note that this code assumes that the JSON file is an array of objects, each having the same keys. The fieldnames for the writer are set to the keys of the first element of the data. Then, it creates a new CSV file and uses the CSV module’s DictWriter() class to write the data to the file. In this example, the code first opens the JSON file using the open() function and the JSON module’s load() function, which reads the file’s contents and converts it to a Python object.
# Create a new CSV file and write the data with open( 'data.csv', 'w', newline = '') as csv_file: You have to convert the JSON data into a Python dictionary using the ‘load’ method.
Import csv import json # Open the JSON file with open( 'data.json') as json_file:
0 kommentar(er)
