Defining empty variables in Python is straightforward. If you wish to define a placeholder for a missing value that will not be used for calculations, you can define an empty variable using the None keyword. This is useful because it clearly indicates that the value for a variable is missing ...
:type elevations: numpy.array :return: Angle slope model [rad]. :rtype: function """ from scipy.interpolate import InterpolatedUnivariateSpline as Spl i = np.append([0], np.where(np.diff(distances) > dfl.EPS)[0] + 1) func = Spl(distances[i], elevations[i]).derivative() return ...
numpy.arange(25).reshape((5, 5)) # create a 1-d range and reshape numpy.array(range(25)).reshape((5, 5)) # pass a Python range and reshape numpy.array([5] * 25).reshape((5, 5)) # pass a Python list and reshape numpy.empty((5, 5)) # allocate, but don't initialize num...