Web Reference: May 11, 2011 · To achieve this you have to first convert your 1D numpy array into row-vector and then swap the shape and strides (transpose it). Below is a function that does it: numpy.transpose # numpy.transpose(a, axes=None) [source] # Returns an array with axes transposed. For a 1-D array, this returns an unchanged view of the original array, as a transposed vector is simply the same vector. Dec 10, 2025 · For 1D arrays, transpose has no effect because they have only one axis. This function is commonly used in matrix operations and data transformations where orientation matters.
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