I am new to NumPy/SciPy. From the documentation, it seems more efficient to preallocate
a single array rather than call append/insert/concatenate.
For example, to add a column of 1's to an array, i think that this:
ar0 = np.linspace(10, 20, 16).reshape(4, 4)
ar0[:,-1] = np.ones_like(ar0[:,0])
is preferred to this:
ar0 = np.linspace(10, 20, 12).reshape(4, 3)
ar0 = np.insert(ar0, ar0.shape[1], np.ones_like(ar0[:,0]), axis=1)
my first question is whether this is correct (that the first is better), and my second question is, at the moment, I am just preallocating my arrays like this (which I noticed in several of the Cookbook examples on the SciPy Site):
np.zeros((8,5))
what is the 'NumPy-preferred' way to do this?
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