python-scipyHow can I use Python and SciPy to calculate Hamming distances?

To calculate Hamming distances in Python and SciPy, the scipy.spatial.distance.hamming function can be used. This function takes two vectors as input and returns the Hamming distance between them as output.

Example code

from scipy.spatial import distance

vector1 = [1, 0, 0]
vector2 = [1, 1, 0]

hamming_distance = distance.hamming(vector1, vector2)

print(hamming_distance)

Output example

0.3333333333333333

The code above consists of the following parts:

1. Importing the distance module from the scipy.spatial package, which contains the hamming function used to calculate the Hamming distance.

2. Declaring two vectors, vector1 and vector2, which will be used as input for the hamming function.

3. Calling the hamming function, passing the two vectors as arguments, and assigning the result to the hamming_distance variable.

4. Printing the result of the hamming_distance variable.

Helpful links

• scipy.spatial.distance.hamming - Documentation for the scipy.spatial.distance.hamming function.
• Hamming Distance - Wikipedia page on Hamming Distance.

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