Data Science, Python, Pandas.
time of writing), so we can’t use the for-in logic. Finally, we can find all the article/coming_from unique combinations and iterate over these values to group the summed_articles rows ourselves with the get_group() method: dfd[[‘article’, ‘coming_from’]]\ .drop_duplicates()\