numpy.packbits — NumPy v1.15 Manual (original) (raw)
numpy. packbits(myarray, axis=None)¶
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.
| Parameters: | myarray : 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.None implies packing the flattened array. |
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| 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 1-D). |
See also
Unpacks elements of a uint8 array into a binary-valued 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.