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GeoJSON is based on the JavaScript Object Notation ( JSON). To convert JSON to CSV in Python, use the pandas tocsv () function. It is based on the format of objects in JavaScript and is an encoding technique for representing structured data. Converting JSON to CSV in Python uses the built-in JSON modules. Python script: with open ('mergeddata16.json', encoding'utf-8') as inputfile: df pd.readjson (inputfile) df.tocsv ('csvfile1.csv', encoding'utf-8', indexFalse) it converts. Use the Pandas DataFrames tocsv () Method to Convert JSON to CSV in Python Use the csv Module to Convert JSON to a CSV File JSON stands for JavaScript Object Notation. Python has in-build libraries which support JSON as well as CSV.

I am trying to convert the large-size JSON file to CSV with the help of a python script. To convert any JSON file to a CSV file using Python programming language we have to make JSON keys as headers to convert it into a CSV file. 💡 GeoJSON is an RFC standardized data format to encode geographic data structures such as Point, LineString, Polygon, MultiPoint, MultiLineString, and MultiPolygon. How to convert the JSON data to cvs with column name and sub column name.