- unique on the first table column -- I think you'll need the third output, which points from the unique elements, back to the original)
- histcounts to count how many times each element occurs
- ismember to check the list against the other table for membership -- There is ability to check rows
How do I find all indexes of duplicate names in a table column, then compare the row values for each set of duplicates
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So, I have two tables (T1 and T2) that I want to merge. Both have the same number of columns and the same column variables. But the two tables have some repeating ID's.
What I need to do is find the indexes of where the ID is repeated within tables and between the tables (e.g. MN_56_4) in the tables below
So all the instances of MN_56_4 are T1 rows 4 & 5 and T2 row 4.
In this example T1 rows 4 & 5 have the same ID but different values of X, Y & Z, but T1 row 4 & T2 row 4 are identical across all columns.
Question: How do I find all the occurances of repeated ID's, including the first occurence of it?
And then how do I compare the rows to see if any are complete duplicates across all columns, or if they just have the same ID and different values of X, Y & Z?
T1 =
ID X Y Z
___________ ___ ___ ___
{'MN_56_1'} 5.1 6.3 9.1
{'MN_56_2'} 3.6 5.7 2.3
{'MN_56_3'} 4.2 3.4 1.5
{'MN_56_4'} 5.1 2.5 3.2
{'MN_56_4'} 5.7 1.2 6.5
T2 =
ID X Y Z
___________ ___ ___ ___
{'MN_58_1'} 6.2 9.2 0.5
{'MN_58_2'} 4.8 3.2 2.1
{'MN_58_3'} 5.6 3.5 2.7
{'MN_56_4'} 5.1 2.5 3.2
{'MN_56_5'} 5.7 1.2 6.5
I can't do it manually as I am dealing with tables over 10000 rows in length.
Thank you
2 个评论
the cyclist
2022-8-7
I can't write out a solution write now, but pseudocode to do this would be something like
dpb
2022-8-7
I'd recommend to convert the ID variables to categorical first -- be faster and you can also use the "==" operator to match specific ones -- and countcats and friends can provide some of the same information as unique, sometimes in a more useful format.
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