Reshaping of arrays: Changing the shape of a given array. Joining and splitting of arrays: Combining multiple arrays into one, and splitting one array into Array Indexing: Accessing Single Elements¶. If you are familiar with Python's standard list indexing, indexing in NumPy will feel quite familiar.I am trying to apply a function to every element of numpy array along with few parameters. Result : [0 0]. Can somebody point out what am I doing wrong!!!! Thanks. Answer 1. Try passing the array as np.float32. import numpy as np def wcdf(U, A, k): return np.array([1 - np.exp(-(u/A)**(k)) if u >0 else 0...

Another way is to use numpy.dstack.Supposing that you want to repeat the matrix a num_repeats times:. import numpy as np b = np.dstack([a]*num_repeats) The trick is to wrap the matrix a into a list of a single element, then using the * operator to duplicate the elements in this list num_repeats times.

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