Category : arrays

I have a list of lists (of variable len) that needs to be converted into a numpy array. Example: import numpy as np sample_list = [["hello", "world"], ["foo"], ["alpha", "beta", "gamma"], []] sample_arr = np.asarray(sample_list) >>> sample_arr array([list([‘hello’, ‘world’]), list([‘foo’]), list([‘alpha’, ‘beta’, ‘gamma’]), list([])], dtype=object) >>> sample_arr.shape (4,) In the above example, I got a ..

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I am trying to refactor procedural code of a numpy 3d array into it’s vectorized equivalent and the results are not matching . import numpy as np arr = np.empty((16,73,144)) boolArray = np.zeros((14,73,144)) for k in range(1,14): for j in range(0,73): for i in range(0,144): if (arr[k+1,j,i] == arr[k-1,j,i]): boolArray[k,j,i] = True The vectorized counterpart ..

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