table.setdiff
table: tbl = setdiff (tblA, tblB)
table: tbl = setdiff (tblA, tblB, setOrder)
table: [tbl, ixA] = setdiff (…)
Difference between two tables by rows.
tbl = setdiff (tblA, tblB) returns the set of
rows that are present in tblA but not in tblB, with duplicate
rows removed. Both tables must have the same variable names, although
not necessarily in the same order; tbl keeps the variable order of
tblA. Rows are compared by their variable values only (row names
are ignored), and by default tbl is sorted by those values.
tbl = setdiff (tblA, tblB, setOrder)
controls the ordering of tbl, either 'sorted' (default) or
'stable'.
[tbl, ixA] = setdiff (…) also returns the index
vector ixA such that tbl equals
tblA(ixA,:).
Source Code: table
setdiff returns the rows that are in the first table but not the second, comparing whole multi-variable rows across all their types.
A = table ({'Li'; 'Diaz'; 'Brown'}, [38; 40; 49], ...
categorical ({'NY'; 'CA'; 'MA'}), ...
'VariableNames', {'Name', 'Age', 'State'})
A =
3x3 table
Name Age State
_________ ___ _____
{'Li' } 38 NY
{'Diaz' } 40 CA
{'Brown'} 49 MA
B = table ({'Diaz'; 'Brown'; 'Lee'}, [40; 49; 30], ...
categorical ({'CA'; 'MA'; 'TX'}), ...
'VariableNames', {'Name', 'Age', 'State'})
B =
3x3 table
Name Age State
_________ ___ _____
{'Diaz' } 40 CA
{'Brown'} 49 MA
{'Lee' } 30 TX
setdiff (A, B)
ans =
1x3 table
Name Age State
______ ___ _____
{'Li'} 38 NY
Only Li is unique to A; a second output gives its row index in A.
[C, iA] = setdiff (A, B); iA
iA = 1