`-m` stores a simple list in a single column with items separated by a semicolon.
* 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. The complete code with the result is shown below : Code: Python3 import pandas as pd df1 pd.readjson ('file3. Step 3: Convert the merged dataframe into CSV file. Step 2: Merge the dataframes by different methods as inner/outer/left/right joins. * JSON can be a valid nested object or a list. Step 1: Load the json files with the help of pandas dataframe.
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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