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I just started leaning python... I have two dataframes the df1 consists of "article number" and "current tier". The df2 consists of "article number" and "updated tier". The rows in both dataframes is not same. I want to the output that shows the "article numbers" where the updated tier is 'different' than current tire

I am trying to use join or merge, could not figure out.

ionic
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  • Welcome to StackOverflow! here are the guidelines about asking questions https://stackoverflow.com/help/how-to-ask – Naveed Oct 31 '22 at 22:04
  • Does this answer your question? [Pandas Merging 101](https://stackoverflow.com/questions/53645882/pandas-merging-101) – Naveed Oct 31 '22 at 22:07
  • one other way is to map the values from DF2 into DF1 and then filter out where current and updated tier mismatches – Naveed Oct 31 '22 at 22:07

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