In Matlab the buffer of matrix is continuous in column . So what about the numpy array of Python. which one is beter between numpy.empty((n,1)) and numpy.empty((1,n))
The buffer partition of numpy array
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user2357112
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They do different things. One makes an Nx1 array; the other makes a 1xN array. Neither is "better". (In fact, the memory layout will be identical for both arrays, even if you specify column-major storage.)
To answer the question about storage layout, though, numpy defaults to row-major layout, a.k.a. C-contiguous. You can see this clearly reflected in the docs.
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In
numpyyou can choose betweenFortran-contiguous(along the column, like in Matlab) andC-contiguous(along the row, which is the default in numpy) order, passing theorderargument when you create an array, so you have more flexibility.As @user2357112 already said, for a 1xN or Nx1 array it does not matter, but for a MXN array it does matter and you should be aware of that.