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Add unique_rows function
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import numpy as np
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def unique_rows(ar):
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"""Remove repeated rows from a 2D array.
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Parameters
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----------
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ar : 2D np.ndarray
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The input array.
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Returns
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-------
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ar_out : 2D np.ndarray
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A copy of the input array with repeated rows removed.
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Raises
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------
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ValueError : if `ar` is not two-dimensional.
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Examples
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--------
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>>> ar = np.array([[1, 0, 1],
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[0, 1, 0],
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[1, 0, 1]], np.uint8)
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>>> aru = unique_rows(ar)
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array([[0, 1, 0],
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[1, 0, 1]], dtype=uint8)
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"""
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if ar.ndim != 2:
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raise ValueError("unique_rows() only makes sense for 2D arrays, "
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"got %dd" % ar.ndim)
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ar_row_view = ar.view('|S%d' % (ar.itemsize * ar.shape[1]))
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_, unique_row_indices = np.unique(ar_row_view, return_index=True)
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ar_out = ar[unique_row_indices]
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return ar_out
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