SciPy

This is documentation for an old release of NumPy (version 1.16). Read this page in the documentation of the latest stable release (version 2.2).

numpy.matrix.newbyteorder

method

matrix.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 below. 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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