# 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¶

x
,
y
FExpr

The arguments must be either FExprs, or expressions that can be converted into FExprs.

return
FExpr

An expression that evaluates x | y.

## Notes¶

Note

Use x | y in order to OR two boolean FExprs. Using standard Python keyword or will result in an error.