找到最重复的！ np.array ！ 在列表中

Question

I saw some solutions on finding the most common scalar in an numpy array using scipy.stats.mode / np.bincount / collections.counter.

But I am not able to apply these on my porblem.

Having an list of numpy arrays like

 list_name = [np.array([1,2,3]),
         np.array([1,2,3]),
         np.array([5,6,7]),
         np.array([1,2,3]),
         np.array([2,3,4]),
         np.array([2,3,4])]

I would like to find the most repeated vector -> np.array([1,2,3]) in the case shown above.

Thanks for your help on this!

Martin

Answer 1

First convert the list of vectors to a matrix.

mtx = np.matrix(list)

Get unique values with counts

values, counts = np.unique(mtx, return_counts=True, axis=0)

Retrieve the most common value

values[counts==np.max(counts),]