Function AddTensorColumn

tensor/table/table.go:170–177

AddTensorColumn adds a new n-dimensional column to the table, of given type, column name (which must be unique), and dimensionality of each _cell_. An outer-most Row dimension will be added to this dimensionality to create the tensor column.

(dt *Table, name string, cellSizes []int, dimNames ...string)

// An outer-most Row dimension will be added to this dimensionality to create
// the tensor column.
func AddTensorColumn[T string | bool | float32 | float64 | int | int32 | byte](dt *Table, name string, cellSizes []int, dimNames ...string) tensor.Tensor {
	rows := max(1, dt.Rows)
	sz := append([]int{rows}, cellSizes...)
	nms := append([]string{"Row"}, dimNames...)
	tsr := tensor.New[T](sz, nms...)
	dt.AddColumn(tsr, name)
	return tsr
}

// AddColumn adds the given tensor as a column to the table,
// returning an error and not adding if the name is not unique.