def applymap(self, udf, out_dtype=None):
"""Apply a elemenwise function to transform the values in the Column.
Parameters
----------
udf : function
Wrapped by numba jit for call on the GPU as a device function.
out_dtype : numpy.dtype; optional
The dtype for use in the output.
By default, use the same dtype as *self.dtype*.
Returns
-------
result : Column
The mask is preserved.
"""
if out_dtype is None:
out_dtype = self.dtype
out = column.column_applymap(udf=udf, column=self, out_dtype=out_dtype)
return self.replace(data=out, dtype=out_dtype)
def applymap(self,
udf: Callable[[ScalarLike], ScalarLike],
out_dtype: Dtype = None) -> ColumnBase:
"""Apply an element-wise function to transform the values in the Column.
Parameters
----------
udf : function
Wrapped by numba jit for call on the GPU as a device function.
out_dtype : numpy.dtype; optional
The dtype for use in the output.
By default, use the same dtype as *self.dtype*.
Returns
-------
result : Column
The mask is preserved.
"""
if out_dtype is None:
out_dtype = self.dtype
out = column.column_applymap(udf=udf, column=self, out_dtype=out_dtype)
return out
