Adjust Values In Numpy Array Based On Coefficients

I'm using a threshold vector to create binary values in a 2d numpy array row-wise. Sample code is provided below: import numpy as np x = np.random.rand(100000, 200) coef = np.rando

Solution 1:

Perform the comparison with coef to give us a boolean array and then convert to int array, thus leveraging vectorized capabilities of NumPy -

x_out = (x >= coef).astype(int)