Finding ONLY Unique Coordinates in List

Question

I have a list of coordinates like

list_cor = 
    [[4190091.4195999987, 7410226.618699998], 
    [4190033.2124999985, 7410220.0823], 
    [4190033.2124999985, 7410220.0823], 
    [4190035.7005000003, 7410208.670500003], 
    [4190033.2124999985, 7410220.0823], 
    [4190022.768599998, 7410217.844300002]]

I need to get only these values:

[[4190091.4195999987, 7410226.618699998], 
[4190035.7005000003, 7410208.670500003], 
[4190022.768599998, 7410217.844300002]]

Tried numpy.unique() but it adds this item [4190033.2124999985, 7410220.0823], which I don't need.

Answer 1

使用numpy.unique与axis和return_counts参数：

arr, uniq_cnt = np.unique(list_cor, axis=0, return_counts=True)
uniq_arr = arr[uniq_cnt==1]

Answer 2

你快到了 ：

coords=[ x+1j*y for (x,y) in list_cor] # using complex; a way for grouping
uniques,counts=np.unique(coords,return_counts=True)
res=[ [x.real,x.imag] for x in uniques[counts==1] ] # ungroup

为了 ：

[[4190022.7685999982, 7410217.8443000019],
 [4190035.7005000003, 7410208.6705000028],
 [4190091.4195999987, 7410226.6186999977]]