import numpy as np

# prepare sample data
data = np.zeros((7,7), dtype='object')

for i in range(7):
    for j in range(7):
        data[i,j] = np.random.rand(250)

result = []
visited =[]
# helper methods
def vector_is_in_result(vector, result):
    vector_list = vector.tolist()

    for i in range(len(result)):
        helper = False
        for j in range(len(vector_list)):
            if vector_list[j] == result[i][j]:
                helper = True
            else:
                helper = False
                break
        if helper:
            return True

    return False

# core
for i in range(data.shape[0]):
    same_i_j_visited = False
    for j in range(data.shape[1]):
        if i==j:
            continue
        if not((i,j) in visited or (j,i) in visited):
            visited.append((i,j))

            new_col = data[i,j]
            if vector_is_in_result(new_col, result) == False:
                result.append(new_col)

print('visited: ', visited)
print('elements: ', len(result))
print('shape of element 1: ', result[1].shape)