The np.any() function tests whether any element in a NumPy array evaluates to true: The input can have any shape and the data type does not have to be boolean (as long as it’s truthy). If none of the elements evaluate to true, the function returns false: Passing in a value for the axis argument … Read more
Understanding the np.append() operation and when you might want to use it.
The NumPy where function is like a vectorized switch that you can use to combine two arrays.
The np.all() function tests whether all elements in a NumPy array evaluate to true.
You can calculate the L1 and L2 norms of a vector or the Frobenius norm of a matrix in NumPy with np.linalg.norm(). This post explains the API and gives a few concrete usage examples.