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Python to format and create a nested JSON file

I am using pandas "to_json" option to generate some JSON files after filtering DF. The output of these comes as below: [{"time":1677287760000,"x":0.001,"y":0.001,"z":0.0},{"time":1677632400000,"x":0.0,"y":0.0,"z":0.0},{"time":1677636000000,"x":0.0,"y":0.0,"z":0.0},{"time":1677639600000,"x":0.0,"y":0.0,"z":0.0}] and [{"dt":20,"count":6},{"dt":23,"count":9},{"dt":11,"count":7},{"dt":2,"count":16},{"dt":17,"count":1},{"dt":20,"count":6}] I am looking for options to create a JSON file in python which will hold both…

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How to export a weighted edge list to a JSON tree?

Given the following Pandas DataFrame (the original DataFrame has 200+ rows): import pandas as pd df = pd.DataFrame({ 'child': ['Europe', 'France', 'Paris','North America', 'US', 'Canada'], 'parent': ["", 'Europe', 'France',"", 'North America', 'North America'], 'value': [746.4, 67.75, 2.16, 579,331.9, 38.25] })…

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Json – How to use pd.read_excel without changing values or format

I have this data in Excel File When read with this logic, df = pd.read_excel(xls_file_path) # Convert DataFrame to JSON json_data = df.to_json(orient='records') print(json_data) [{"Name":"Deepak Kalindi","Employee ID":101,"Joining Date":1704153600000,"Leaving Date":null,"Monthly Salary":12000,"Number of full days":27,"Number of half days":2.5,"Number of leaves":1.5,"OT (full Day)":3,"OT…

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