`numpy:unpackbits`

Signature

   def     unpackbits (    a    ,  / ,     axis    =  None   ,    count    =  None   ,    bitorder    =  big     )

Summary

Unpacks elements of a uint8 array into a binary-valued output array.

Extended Summary

Each element of a represents a bit-field that should be unpacked into a binary-valued output array. The shape of the output array is either 1-D (if axis is None) or the same shape as the input array with unpacking done along the axis specified.

Parameters

a : ndarray, uint8 type: Input array.
axis : int, optional: The dimension over which bit-unpacking is done. None implies unpacking the flattened array.
count : int or None, optional: The number of elements to unpack along axis, provided as a way of undoing the effect of packing a size that is not a multiple of eight. A non-negative number means to only unpack count bits. A negative number means to trim off that many bits from the end. None means to unpack the entire array (the default). Counts larger than the available number of bits will add zero padding to the output. Negative counts must not exceed the available number of bits.
bitorder : {'big', 'little'}, optional: The order of the returned bits. 'big' will mimic bin(val), 3 = 0b00000011 => [0, 0, 0, 0, 0, 0, 1, 1], 'little' will reverse the order to [1, 1, 0, 0, 0, 0, 0, 0]. Defaults to 'big'.

Returns

unpacked : ndarray, uint8 type: The elements are binary-valued (0 or 1).

Examples

import numpy as np
a = np.array([[2], [7], [23]], dtype=np.uint8)
a
b = np.unpackbits(a, axis=1)
b
c = np.unpackbits(a, axis=1, count=-3)
c

✓

p = np.packbits(b, axis=0)
np.unpackbits(p, axis=0)
np.array_equal(b, np.unpackbits(p, axis=0, count=b.shape[0]))

✓

Aliases

numpy.unpackbits