Numpy vs Matlab reshape

Being a Matlab long-term user, I have almost switched to Python completely. But I wasn’t paying attention of different reshape behavior of numpy vs Matlab. It wasted me a night to catch a nasty bug because of that. I always assumed that when I “vectorize” a matrix, it will expand along the row index first as in Matlab. It turns out that numpy’s default behavior is to expand the column index first. This is known as the ‘C’ order vs the Fortran order in Matlab. To override the default behavior, simply set order to ‘F’ in the argument. For example,

z = x.reshape(3,4,order='F')

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