y are multi-column expressions, then they must have the
same number of columns, and the
& operator will be applied to each
corresponding pair of columns. If either
y are single-column
while the other is multi-column, then the single-column expression
will be repeated to the same number of columns as its opponent.
The AND operator can only be applied to integer or boolean columns. The resulting column will have stype equal to the larger of the stypes of its arguments.
y are boolean, then the bitwise AND operator is
equivalent to logical AND. This can be used to combine several logical
conditions into a compound (since Python doesn’t allow overloading of
and). Beware, however, that
& has higher precedence
and, so it is advisable to always use parentheses:
DT[(f.x >= 0) & (f.x <= 1), :]
The arguments must be either
FExprs, or expressions that can be
An expression that evaluates
x & y.
x & y in order to AND two boolean
FExprs. Using standard
and will result in an error.