Pagerank using iterative method

pagerank.py

    def pagerank(self):
        M = self.google_matrix()
        n, m = np.shape(M)
        r = np.ones(n) / n
        r = np.transpose(r)
        iterations = 1
        while True:
            print("pass: ", iterations)
            previous_r = r
            r = np.dot(r, M)
            err = np.abs(r - previous_r).sum()
            if err < 0.000001:
                break
            iterations += 1
        print(iterations)
        with np.printoptions(threshold=np.inf, suppress=True):
            print(r.transpose())