@sledziu32
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Hi, thaks for a nice post. That is good excercise for pandas data manipulation/wrangling/preparation :) in case of marging csv files did you consider creating blank Dataframe and loop through all files? moreover if you want to remove columns think about keeping columns (it's good practice from PQ), if there are some errors in headers' names in files or some new columns they will stay in your df ''' df = df[list_of_columns_to_keep] ''' and bigest advantage of python over PQ is ability to save as any file other than json once again thanks for your post