unary

cudf._lib.pylibcudf.unary.cast(Column input, DataType data_type) → Column

Cast a column to a different data type.

For details, see cast().

Parameters:

inputColumn

The column to check.

data_typeDataType

The data type to cast to.

Returns:

pylibcudf.Column

A boolean column with True representing null values.

cudf._lib.pylibcudf.unary.is_nan(Column input) → Column

Check whether elements of a column are nan.

For details, see is_nan().

Parameters:

inputColumn

The column to check.

Returns:

pylibcudf.Column

A boolean column with True representing nan values.

cudf._lib.pylibcudf.unary.is_not_nan(Column input) → Column

Check whether elements of a column are not nan.

For details, see is_not_nan().

Parameters:

inputColumn

The column to check.

Returns:

pylibcudf.Column

A boolean column with True representing non-nan values.

cudf._lib.pylibcudf.unary.is_null(Column input) → Column

Check whether elements of a column are null.

For details, see is_null().

Parameters:

inputColumn

The column to check.

Returns:

pylibcudf.Column

A boolean column with True representing null values.

cudf._lib.pylibcudf.unary.is_valid(Column input) → Column

Check whether elements of a column are valid.

For details, see is_valid().

Parameters:

inputColumn

The column to check.

Returns:

pylibcudf.Column

A boolean column with True representing valid values.

cudf._lib.pylibcudf.unary.unary_operation(Column input, unary_operator op) → Column

Perform a unary operation on a column.

For details, see unary_operation().

Parameters:

inputColumn

The column to operate on.

opUnaryOperator

The operation to perform.

Returns:

pylibcudf.Column

The result of the unary operation