Remove duplicate rows of a numpy array [duplicate]

Answer 1

A simple solution can be:

import numpy as np
def unique_rows(a):
    a = np.ascontiguousarray(a)
    unique_a = np.unique(a.view([('', a.dtype)]*a.shape[1]))
    return unique_a.view(a.dtype).reshape((unique_a.shape[0], a.shape[1]))

data = np.array([[1,8,3,3,4],
                 [1,8,9,9,4],
                 [1,8,3,3,4]])


print unique_rows(data)
#prints:
[[1 8 3 3 4]
 [1 8 9 9 4]]

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