datatable.FExpr.__or__()¶
Compute bitwise OR of x
and y
.
If x
or 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 x
or 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 OR 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.
When both x
and y
are boolean, then the bitwise OR operator is
equivalent to logical OR. This can be used to combine several logical
conditions into a compound (since Python doesn’t allow overloading of
operator or
). Beware, however, that |
has higher precedence
than or
, so it is advisable to always use parentheses:
DT[(f.x < -1) | (f.x > 1), :]
Parameters¶
FExpr
The arguments must be either FExpr
s, or expressions that can be
converted into FExpr
s.
FExpr
An expression that evaluates x | y
.
Notes¶
Warning
Use x | y
in order to OR two boolean FExpr
s. Using standard
Python keyword or
will result in an error.