numpy.packbits¶

numpy.
packbits
(a, axis=None, bitorder='big')¶ Packs the elements of a binaryvalued array into bits in a uint8 array.
The result is padded to full bytes by inserting zero bits at the end.
Parameters:  a : array_like
An array of integers or booleans whose elements should be packed to bits.
 axis : int, optional
The dimension over which bitpacking is done.
None
implies packing the flattened array. bitorder : {‘big’, ‘little’}, optional
The order of the input bits. ‘big’ will mimic bin(val),
[0, 0, 0, 0, 0, 0, 1, 1] => 3 = 0b00000011 => ``, 'little' will reverse the order so ``[1, 1, 0, 0, 0, 0, 0, 0] => 3
. Defaults to ‘big’.New in version 1.17.0.
Returns:  packed : ndarray
Array of type uint8 whose elements represent bits corresponding to the logical (0 or nonzero) value of the input elements. The shape of packed has the same number of dimensions as the input (unless axis is None, in which case the output is 1D).
See also
unpackbits
 Unpacks elements of a uint8 array into a binaryvalued output array.
Examples
>>> a = np.array([[[1,0,1], ... [0,1,0]], ... [[1,1,0], ... [0,0,1]]]) >>> b = np.packbits(a, axis=1) >>> b array([[[160], [ 64]], [[192], [ 32]]], dtype=uint8)
Note that in binary 160 = 1010 0000, 64 = 0100 0000, 192 = 1100 0000, and 32 = 0010 0000.