ndarray.newbyteorder()

ndarray.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:

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.

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.

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ndarray.newbyteorder.html

doc_NumPy

2017-01-10 18:11:47

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