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# pandas.DatetimeIndex.newbyteorder

`DatetimeIndex.``newbyteorder`(new_order='S')

  Return the array with the same data viewed with a different byte order.

  Equivalent to:

      arr.view(arr.dtype.newbytorder(new_order))

  Changes are also made in all fields and sub-arrays of the array data type.

  > Parameters : | new_order : string, optional Byte order to force; a value from the byte order specifications above. new_order codes can be any of:
  >     * 'S' - swap dtype from current to opposite endian
  >     * {'<', 'L'} - little endian
  >     * {'>', 'B'} - big endian
  >     * {'=', 'N'} - native order
  >     * {'|', 'I'} - ignore (no change to byte order)
  The default value (‘S’) results in swapping the current byte order. The code does a case-insensitive check on the first letter of new_order for the alternatives above. For example, any of ‘B’ or ‘b’ or ‘biggish’ are valid to specify big-endian.
  Returns : | new_arr : array New array object with the dtype reflecting given change to the byte order.

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