Equivalent code in Python when appending arrays

Hello everyone,

I've got a problem when trying to translate this code in MATLAB to Python. The problem happened when I tried to append items to list.

dict{1} = [ 24 13; 8 21 ];
dict{2} = [ 2 17; 13 21 ];
dict{3} = [ 17 1; 21 12; 22 15; 21 24; 18 29 ];
dict{4} = [ 24 3; 22 23; 11 25 ];
dict{5} = [ 3 12; 26 18 ];

result = cell(size(dict));
dk = zeros(0,2); rk = {};
for k=1:length(result)                      % working down, construct sequentially
    rp = rk; dp = dk; dk = dict{k};         % bookkeeping and update
    rk = num2cell(dk,2);                    % split rows as cell 
    [b,loc] = ismember(dk(:,1),dp(:,2));    % check for matching
    p = rp(loc(b));                         % build the path using for-loop instead of ARRAYFUN
    n = dk(b,2);
    for j=1:length(p)
        p{j} = [p{j} n(j)];
    end
    rk(b) = p;
    result{k} = rk;                         % assign
end

In Python:

list = {}
list[0] = np.array([[24, 13], [8, 21]])
list[1] = np.array([[2, 17], [13, 21]])
list[2] = np.array([[17, 1], [21, 12], [22, 15], [21, 24], [18, 29]])
list[3] = np.array([[24, 3], [22, 23], [11, 25]])
list[4] = np.array([[3, 12], [26, 18]])
dk = np.zeros((0,2))
rk = {}
result = {}
for k in range(len(list)):
    rp = rk
    dp = dk
    
    dk = list[k]
    rk = num2cell(dk)
    [b, loc] = ismember(dk[...,0], dp[...,1])
    if k > 0:        
        p = rp_array[loc]
        n = dk[b, 1]
        p = np.column_stack((p, n))
        rk[b] = p
        result[k] = rk
        

The error is: shape mismatch: value array of shape (1,3) could not be broadcast to indexing result of shape (1,2), which is rk[b] = p. So can anyone please help me find the equivalent code to this?