On this page
numpy.ma.MaskedArray.byteswap
method
- MaskedArray.byteswap(inplace=False)
- 
    Swap the bytes of the array elements Toggle between low-endian and big-endian data representation by returning a byteswapped array, optionally swapped in-place. Arrays of byte-strings are not swapped. The real and imaginary parts of a complex number are swapped individually. - Parameters
- 
      - inplacebool, optional
- 
        If True, swap bytes in-place, default isFalse.
 
- Returns
- 
      - outndarray
- 
        The byteswapped array. If inplaceisTrue, this is a view to self.
 
 Examples>>> A = np.array([1, 256, 8755], dtype=np.int16) >>> list(map(hex, A)) ['0x1', '0x100', '0x2233'] >>> A.byteswap(inplace=True) array([ 256, 1, 13090], dtype=int16) >>> list(map(hex, A)) ['0x100', '0x1', '0x3322']Arrays of byte-strings are not swapped >>> A = np.array([b'ceg', b'fac']) >>> A.byteswap() array([b'ceg', b'fac'], dtype='|S3')- A.newbyteorder().byteswap() produces an array with the same values
- 
      but different representation in memory 
 >>> A = np.array([1, 2, 3]) >>> A.view(np.uint8) array([1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0], dtype=uint8) >>> A.newbyteorder().byteswap(inplace=True) array([1, 2, 3]) >>> A.view(np.uint8) array([0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 3], dtype=uint8)
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
 https://numpy.org/doc/1.19/reference/generated/numpy.ma.MaskedArray.byteswap.html