.. _Data types:

Available array data types
==========================

Table below shows a list of all supported data types (dtypes) and constants of the Data Parallel Extension for NumPy*.

.. list-table::
    :header-rows: 1

    * - Data Types
      - Type aliases
      - Constants
    * -
        - :obj:`bool <numpy.bool_>`
        - :obj:`int32 <numpy.int32>`
        - :obj:`int64 <numpy.int64>`
        - :obj:`float32 <numpy.float32>`
        - :obj:`float64 <numpy.float64>`
        - :obj:`complex64 <numpy.complex64>`
        - :obj:`complex128 <numpy.complex128>`
      -
        - :obj:`bool_ <numpy.bool_>`
        - :obj:`cdouble <numpy.cdouble>`
        - :obj:`csingle <numpy.csingle>`
        - :obj:`double <numpy.double>`
        - :obj:`float16 <numpy.float16>`
        - :obj:`int <numpy.int>`
        - :obj:`int_ <numpy.int_>`
        - :obj:`intc <numpy.intc>`
        - :obj:`single <numpy.single>`
      -
        - :obj:`e <numpy.e>`
        - :obj:`euler_gamma <numpy.euler_gamma>`
        - :obj:`inf <numpy.inf>`
        - :obj:`nan <numpy.nan>`
        - :obj:`pi <numpy.pi>`