packbits(a, /, axis=None, bitorder='big')
The result is padded to full bytes by inserting zero bits at the end.
An array of integers or booleans whose elements should be packed to bits.
The dimension over which bit-packing is done. None
implies packing the flattened array.
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'.
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 :None:None:`axis` is None, in which case the output is 1-D).
Packs the elements of a binary-valued array into bits in a uint8 array.
unpackbits
Unpacks elements of a uint8 array into a binary-valued output array.
>>> 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.
See :The following pages refer to to this document either explicitly or contain code examples using this.
numpy.core._multiarray_umath.unpackbits
numpy.unpackbits
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