Find nearest value in numpy array
Is there a numpy-thonic way, e.g. function, to find the nearest value in an array?
Is there a numpy-thonic way, e.g. function, to find the nearest value in an array?
What explains the difference in behavior of boolean and bitwise operations on lists vs NumPy arrays?
When I print a numpy array, I get a truncated representation, but I want the full array.
Let’s say I have a NumPy array, a:
There seems to be no function that simply calculates the moving average on numpy/scipy, leading to convoluted solutions.
For example, I have two numpy arrays, A = np.array( [[0,1], [2,3], [4,5]]) B = np.array( [[1], [0], [1]], dtype='int') and I want to extract one element from each row of A, and that element is indexed by B, so I want the following results: C = np.array( [[1], [2], [5]]) I tried A[:, B.ravel()], … Read more
What are the advantages and disadvantages of each?
I’m struggling to understand exactly how einsum works. I’ve looked at the documentation and a few examples, but it’s not seeming to stick.
Is there a way to slice a 2d array in numpy into smaller 2d arrays?
This is a self-answered post. Below I outline a common problem in the NLP domain and propose a few performant methods to solve it.