Flattening JSON with Nested Objects and Lists This example shows how to handle a JSON structure with both nested objects and lists, where the goal is to create a CSV that includes details from both the nested o
nested_json = df.groupby(['CustomerID', 'Plan']).apply(lambda x: x.groupby('Month').apply(lambda y: y.drop(['CustomerID', 'Plan', 'Month'], axis=1).to_dict(orient='records'))).to_json() print(nested_json) Output: { "Feb": { "(1, 'Basic')": [ { "DataUsage": 3, ...
Flatten Nested JSON in Python Pandas - Learn how to flatten nested JSON data using Python Pandas with clear examples and code snippets.
Python program to flatten multilevel/nested JSON # Importing pandas packageimportpandasaspd# Importing numpy packageimportnumpyasnp# Defining a JSON filejson=[ {"state":"Florida","shortname":"FL","info": {"governor":"Rick Scott"},"county": [ {"name":"Dade","population":12345}, {"name...
Usage Examples Example 1: Processing Simple JSON Data 代码语言:javascript 代码运行次数:0 运行 AI代码解释 [{"name":"John","age":25},{"name":"Jane","age":30}] Example 2: Processing Nested JSON Data 代码语言:javascript 代码运行次数:0 ...
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python /path/to/json_to_csv.py node json_in_file_path csv_out_file_path Source Specification The script expects the json to be given via a file containing A valid JSON The JSON can be anArrayofnodeObjectEx:- {"node":[ {"item_1":"value_11","item_2":"value_12","item_3":"val...
Example 11: Nested Data From Json Format If you are interested in Json format you can take a look at this Python Json Tutorial A simple API example showing the nested data output: req = requests.get('http://api.zippopotam.us/us/vt/rutland') t = req.json() data = json.dumps(t,...
In [6]: phone = "[1, 2, 3, 4, 5]" In [7]: phone.strip('][').split(', ') Out[7]: ['1', '2', '3', '4', '5'] see here for more examples: https://www.geeksforgeeks.org/python-convert-a-string-representation-of-list-into-list/...
examples. The link will take you to a course I developed on learning to extract nested JSON data. The course has helped hundreds of students learn to extract nested data. You don’t have to purchase the course to obtain the files. The filenames are single_json.py and multiple_json.py....