numba\jit 不允许在 nopython 模式下使用 np argsort

Question

收到此错误消息：

Failed at nopython (nopython frontend)

[1m[1m[1mInvalid usage of Function(<function argsort at 0x0000000002A67840>) with parameters (array(float64, 2d, C), axis=int64)

 * parameterized

In definition 0:

使用此代码时

def rankbids(bids, shifts, groupPeriod, period):
    rowsSize = bids.shape[0];

    finaltable = np.zeros((rowsSize, groupPeriod), dtype=np.float64)
    for i in range(0, period):
        #for 0 to 99
        #CONSTANT 4 UPDATE WHEN NEEDED


        for worker in range(rowsSize):
            shiftNum = int(shifts[worker,i]);

            finaltable[worker, (shiftNum+i*10)] = bids[worker,i];

            if shiftNum == 1:
                finaltable[worker, (shiftNum+i*10)] = bids[worker,i];
                finaltable[worker, (shiftNum+1+i*10)] = bids[worker,i];
                finaltable[worker, (shiftNum+2+i*10)] = bids[worker,i];
            elif shiftNum == 2:
                finaltable[worker, (shiftNum+2+i*10)] = bids[worker,i];
                finaltable[worker, (shiftNum+3+i*10)] = bids[worker,i];
                finaltable[worker, (shiftNum+4+i*10)] = bids[worker,i];
            elif shiftNum == 3:
                finaltable[worker, (shiftNum+4+i*10)] = bids[worker,i];
                finaltable[worker, (shiftNum+5+i*10)] = bids[worker,i];
                finaltable[worker, (shiftNum+6+i*10)] = bids[worker,i];


    indexTable = np.argsort(finaltable, axis=0)
    print(finaltable);




    return finaltable;

rank_bids = numba.jit('float64[:,:](float64[:,:], float64[:,:], int64, float64)', nopython=True)(rankbids);

numpy 似乎不允许在 numba 函数中对 Nd 数组进行 argsort？我的问题是是否有人能够在 jit 函数中使用它，或许可以告诉我我可以做些什么才能使用它！

Answer 1

np.argsort 适用于 numba，但不适用于 axis 关键字。您可以这样编写代码 indexTable = np.argsort(finaltable, axis=0)：

indexTable = np.empty_like(finaltable)
for j in range(indexTable.shape[1]):
    indexTable[:, j] = np.argsort(finaltable[:, j])

numba\jit 不允许在 nopython 模式下使用 np argsort

numba\jit doesn't allow the use of np argsort in nopython mode

jit

numpy

python-3.x

numba

numpy-ndarray