datatable.FExpr.__and__()

datatable.FExpr.
__and__
(
x
,
y
)
source

Compute bitwise AND 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 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.

When both x and 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 operator and). Beware, however, that & has higher precedence than and, so it is advisable to always use parentheses:

DT[(f.x >= 0) & (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

Warning

Use x & y in order to AND two boolean FExprs. Using standard Python keyword and will result in an error.