![]() `-m` stores a simple list in a single column with items separated by a semicolon. To sort, add the -sort-keys flag to the end. nestedcsv only use standard packages ( csv, itertools, re ). Note that as pnd pointed out in the comments below, in Python 3.5+ the JSON object is no longer sorted by default. ![]() empty cells in case of an object with multiple nested items (array prop). Install pip install nested-csv Dependency nestedcsv requires Python 3. Convert JSON to CSV using cat data.json jsonexport or jsonexport data.json. nestedcsv.NestedDictWriter have same interface ( writerow, writerows, writeheader) with csv.DictWriter. pd.jsonnormalize is a function of pandas that comes in handy in flattening the JSON output into a datatable. In this case, it returns 'data’ which is the first level key and can be seen from the above image of the JSON output. To get first-level keys, we can use the json.keys ( ) method. ![]() * If JSON is dictionary the outputted csv will contain single row. By default, nested arrays or objects will simply be stringified and copied as is in each cell. Instead of passing in the list of issues with results'issues' we can use the recordpath argument and specify the path to the issue list in the JSON object. * Script will convert each item of the list to a corresponding row in the csv. JSON to CSV will convert an array of objects into a table. * JSON can be a valid nested object or a list. If the output file path is not provided the output will be dumped to STDOUT. pd.jsonnormalize is a function of pandas that comes in handy in flattening. This package provides functionality to convert valid nested json objects/files to csv and vice versa. Each nested JSON object has a unique access path. *Converts nested json object to csv and csv back to json*
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