table.setxor
table: tbl = setxor (tblA, tblB)
table: tbl = setxor (tblA, tblB, setOrder)
table: [tbl, ixA, ixB] = setxor (…)
Exclusive OR of two tables by rows.
tbl = setxor (tblA, tblB) returns the set of
rows that are present in either tblA or tblB but not in both,
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 = setxor (tblA, tblB, setOrder)
controls the ordering of tbl, either 'sorted' (default) or
'stable'.
[tbl, ixA, ixB] = setxor (…) also returns
index vectors ixA and ixB such that tbl is the
vertical concatenation of tblA(ixA,:) and
tblB(ixB,:).
Source Code: table
setxor returns the symmetric difference: rows in exactly one of the two tables, but not in both. Row identity spans every variable, of any type.
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
setxor (A, B)
ans =
2x3 table
Name Age State
_______ ___ _____
{'Lee'} 30 TX
{'Li' } 38 NY
Diaz and Brown, shared by both, drop out — leaving Li (from A) and Lee (from B).