![]() `-m` stores a simple list in a single column with items separated by a semicolon. Then: df.tocsv () Which can either return a string or write directly to a csv-file. |*key_1_2|key_1_1|key_1_3.key_1_3_2_1|key_1_3.key_1_3_2_1|key_1_3.key_1_3_2_1|key_1_4.key_1_4_2_1|key_1_5.key_1_5_2_1.key_1_5_2_3_1| Sorted by: 246 With the pandas library, this is as easy as using two commands df pd.readjson () readjson converts a JSON string to a pandas object (either a series or dataframe). Quickly convert Yet Another Markup Language to JavaScript Object Notation. * If JSON is dictionary the outputted csv will contain single row. ![]() * Script will convert each item of the list to a corresponding row in the csv. if you slightly modify your json file the attached python script might be what you are. ![]() Call the ‘writer’ function passing the CSV file as a parameter. jsonfileopen('jsonstring.json','r') csvfileopen('csvformat.csv','w') You have to convert the JSON data into a Python dictionary using the ‘load’ method. * JSON can be a valid nested object or a list. Now open the JSON file in reading mode and open the CSV file in write mode as shown below. If the output file path is not provided the output will be dumped to STDOUT. This package provides functionality to convert valid nested json objects/files to csv and vice versa. ![]() *Converts nested json object to csv and csv back to json*
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