Suppose I have a numpy array of dtype uint16, how do I efficiently manipulate each element of the array so that the bits are reversed?
eg. 0001111010011100 -> 0011100101111000
The existing solutions on this website seem to suggest printing the number into a string which will be really slow for arrays.
Example of what I want to do:
test = np.array([128, 64, 32, 16, 8, 4, 2, 1]).astype(np.uint16)
out = reverse_bits(test)
print(out)
>> array([ 256, 512, 1024, 2048, 4096, 8192, 16384, 32768], dtype=uint16)
arr = np.array(some_sequence)
reversed_arr = arr[::-1]
This will reverse bits in each element of an array.
def reverse_bits(x):
x = np.array(x)
n_bits = x.dtype.itemsize * 8
x_reversed = np.zeros_like(x)
for i in range(n_bits):
x_reversed = (x_reversed << 1) | x & 1
x >>= 1
return x_reversed
Here's one based off some old HAKMEM tricks.
def bitreverse16(x):
x = ((x & 0x00FF) << 8) | ((x & 0xFF00) >> 8)
x = ((x & 0x0F0F) << 4) | ((x & 0xF0F0) >> 4)
x = ((x & 0x3333) << 2) | ((x & 0xCCCC) >> 2)
x = ((x & 0x5555) << 1) | ((x & 0xAAAA) >> 1)
return x
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