11/11/2023 0 Comments Export json to csv python![]() I then get the error: `sequence expected`įirst, your JSON has nested objects, so it normally cannot be directly converted to CSV. ![]() I am using Django and the error I received is: `file' object has no attribute 'writerow'` Let's say you do that and have a new flattened dictionary named r.I have a JSON file I want to convert to a CSV file. You could take the JSON formatted json_data above and unpack it manually, removing nested parts, which means looking through the response and making your own Python dictionary with only single level i.e. You need to essentially flatten the structure yourself, perhaps decide what is important or what you want to can leave out. under "result" there "fields" and then more values, and CSV files can't display that directly. There is no simple way to write this directly to a CSV file, because there are nested structures: e.g. 1 2 import numpy as np import pandas Import the Python Elasticsearch class You’ll need to create API requests. 1 import csv, json Import Pandas and Numpy Libraries Use the alias np for NumPy and import it. The issue is that is will parse it a little strangely. First, import the csv and json Python packages. It can read straight from a JSON string (our text above). I would suggest using Pandas, which can do a lot of the tedious work for you very easily. We can use the json module's function loads to load a string): json_data = json.loads(text) The response in this case is a raw string. We get the text data out by using the read() method: text = response.read() Import json # Used to load data into JSON format ![]() It is in Python 2, but I will show you how to make it work in Python 3. On the page you linked there is actually a Python example on how to get the data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |