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21 paź 2019 · You can use time.strptime to parse and compare dates. Suppose you need everything from 1-1-2019 to 31-12-2020, you can do, import time start = time.strptime("2019-1-1","%Y-%m-%d") end = time.strptime("2020-12-31","%Y-%m-%d") for data in response["date"]: date = time.strptime(data["shipping_date"],"%Y-%m-%d") if date>=start and date<=end: print ...
19 sie 2019 · Use the json module to decode it. import json def js_r(filename: str): with open(filename) as f_in: return json.load(f_in) if __name__ == "__main__": my_data = js_r('num.json') print(my_data)
20 cze 2024 · You can parse JSON data into a Python object (typically a dictionary or list) using the json.loads() function. import json json_str = '{"name": "John", "age": 30, "city": "New York"}' python_obj = json.loads(json_str) print(python_obj) # Output: {'name': 'John', 'age': 30, 'city': 'New York'}
25 maj 2022 · In this tutorial, you learned how to convert JSON into a Python dictionary. You learned three different ways of accomplishing this: first by loading a .json file into a Python dictionary, then by loading a JSON string into a dictionary, and, finally, working with web APIs.
In this tutorial, you will learn to parse, read and write JSON in Python with the help of examples. Also, you will learn to convert JSON to dict and pretty print it.
3 lip 2024 · In this tutorial, you'll learn how to read and write JSON-encoded data in Python. You'll begin with practical examples that show how to use Python's built-in "json" module and then move on to learn how to serialize and deserialize custom data.
14 maj 2021 · Understand use of json.loads() and load() to parse JSON. Read JSON encoded data from a file or string and convert it into Python dict
