numpy.packbits() is another function for doing binary operations in numpy.It is used to packs the elements of a binary-valued array into bits in a uint8 array.The result is padded to full bytes by inserting zero bits at the end.
Syntax : numpy.packbits(arr, axis=None)
arr : [array_like] An array of integers or booleans whose elements should be packed to bits.
axis : [ int, optional] The dimension over which bit-packing is done.If none then packing is done in flattened array.
Return : [packed ndarray] Array of type uint8 whose elements represent bits corresponding to the logical (0 or nonzero) value of the input elements.
Code #1 :
Input array : [[[1 0 1] [0 1 0]] [[1 1 0] [0 0 1]]] Output packed array : [171 16]
Code #2 :
Input array : [[[0 0 1] [1 1 0]] [[1 0 0] [1 1 1]]] Output packed array along axis 1 : [[[ 64 64 128]] [[192 64 64]]]
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