![]() ![]() #df3=df2.apply(pd.Series) print ( "df3",df3)ĭf3.to_csv( 'out. Convert JSON file into CSV file using the Pandas module install pandas using pip or conda pip install pandas import pandas module import pandas as pd open. apply(pd.Series) method on items column is applied, the dictionaries in items column will be used as column headingsĭf3=pd.concat(,axis= 1),df2.apply(pd.Series)],axis= 1) Print ( "This is the dictionary of SO_users", dict_you_want) Print ( "These are the keys to dict_you_want",dict_you_want.keys()) ![]() I saved this data.json to my working directory in P圜harm IDE. I used the tag –‘python’ and period –‘month’. The data was obtained from Stackexchange API. If the output file path is not provided the output will. I want to share how I converted a json (Javascript Object Notation) data into easily readable csv file. This package provides functionality to convert valid nested json objects/files to csv and vice versa.
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