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A) dfONE['x'].unique() |  B) dfTWO['x'].unique()

Consider the above code A result in 20 rows and 1 column and B results in 26 rows and 1 column. Is there a way to find 6 unique items that are present in B but not in A ?

Essentially isolate them as new output to view what is missing in A ?

FalloutATS21
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  • Does this help? https://stackoverflow.com/questions/48647534/python-pandas-find-difference-between-two-data-frames – Davin Tryon Sep 30 '22 at 15:59

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