The method for parsing nested JSON with Python involves using the json library to load the JSON string into a Python dictionary or list. Once the JSON is loaded into a variable, it can be accessed using the keys and indexes of the dictionary or list.
Here is an example of parsing nested JSON using Python:
import json
# Example JSON string
json_str = '{"name": "John Smith", "age": 35, "address": {"street": "123 Main St", "city": "Anytown", "state": "CA"}}'
# Load JSON string into a dictionary
data = json.loads(json_str)
# Access top-level keys
print(data['name']) # Output: John Smith
print(data['age']) # Output: 35
# Access nested keys
print(data['address']['street']) # Output: 123 Main St
print(data['address']['city']) # Output: Anytown
print(data['address']['state']) # Output: CA
In this example, we first import the json library and then define a JSON string. We then use the json.loads() method to load the JSON string into a dictionary called data. We can then access the top-level keys by specifying the key name as a string in square brackets. For nested keys, we use multiple square brackets to access the keys at each level.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2023-06-24 07:04:19 +0000
Seen: 12 times
Last updated: Jun 24 '23
How can popen() be used to direct streaming data to TAR?
In Python, can a string be utilized to retrieve a dataframe that has the same name as the string?
What is the method for merging field value and text into a singular line for display?
What is the method for programmatic access to a time series?