从形状数组（10，21，2）中获取三维最大值，得到最终数组（10,21）

in[]: q out[]: array([[[ 1.78571429e-01, 4.00000000e-01], [ 2.92307692e-01, 3.91304348e-01], [ 3.93939394e-01, 4.21052632e-01], [ 4.41176471e-01, 2.83916084e-01], [ 1.48148148e-01, -8.08080808e-02], [ 4.08450704e-01, 2.94117647e-01], [ 1.87500000e-01, 4.34782609e-02], [ 3.05555556e-01, 4.60000000e-01], [ 3.75000000e-01, -6.66666667e-02], [ 2.23880597e-01, 5.00000000e-01], [ 2.41379310e-01, 5.00000000e-01], [ 5.00000000e-01, -6.66666667e-02], [ 8.33333333e-02, 3.68421053e-01], [ 5.00000000e-01, 1.80555556e-01], [ 4.00000000e-01, 3.84615385e-01], [ 2.94117647e-01, 2.13615023e-01], [ 4.60000000e-01, 1.25000000e-01], [ 7.46031746e-01, 3.58024691e-01], [ 1.00000000e+00, 1.59420290e-01], [ 1.00000000e+00, -6.66666667e-02], [ 0.00000000e+00, 0.00000000e+00]], [[ 4.68750000e-01, 1.48642430e-01], [ 3.33333333e-02, 2.81004710e-01], [ 6.25000000e-02, 2.09302326e-01], [ 3.44262295e-01, 2.83582090e-01], [ 3.60000000e-01, -1.13235294e-01], [ 2.94117647e-01, 3.51351351e-01], [ 2.54237288e-01, 1.25000000e-01], [ 1.90476190e-01, 7.50000000e-01], [ 2.83018868e-01, 4.54545455e-01], [ 2.09302326e-01, 4.25499232e-01], [ 3.33333333e-01, 1.25000000e-01], [ 4.16666667e-01, 3.66666667e-01], [ 2.00000000e-01, 4.25499232e-01], [ -1.00000000e-01, 6.66666667e-02], [ 5.23809524e-01, 6.00000000e-01], [ 1.25000000e-01, -6.97478992e-01], [ 1.44444444e-01, 1.44444444e-01], [ -3.33333333e-01, 7.50000000e-01], [ 1.00000000e+00, -1.00000000e+00], [ 1.00000000e+00, 4.54545455e-01], [ 0.00000000e+00, 0.00000000e+00]], [[ 2.28070175e-01, 3.23076923e-01], [ 3.23076923e-01, 2.61538462e-01], [ 3.75000000e-01, 2.09176788e-01], [ 6.12244898e-02, 3.33333333e-01], [ 2.32876712e-01, 2.25464191e-01], [ 2.42424242e-01, 8.04597701e-02], [ 2.64705882e-01, 1.91394777e-01], [ 2.25806452e-01, 2.09176788e-01], [ 4.76923077e-01, 5.55555556e-02], [ 8.88888889e-02, 1.42857143e-01], [ 2.41379310e-01, 2.06171108e-01], [ 3.33333333e-01, 1.00000000e+00], [ 2.30769231e-01, 2.00000000e-01], [ 2.72727273e-01, 4.08163265e-02], [ 2.00000000e-01, 2.22079589e-01], [ -6.66666667e-02, 2.22079589e-01], [ 5.55555556e-02, -1.00000000e+00], [ 6.66666667e-01, 4.08163265e-02], [ 6.36363636e-01, -9.09090909e-02], [ 1.00000000e+00, 2.14285714e-01], [ 0.00000000e+00, 0.00000000e+00]], [[ 2.18750000e-01, 7.14285714e-02], [ 5.26315789e-02, 2.13921902e-01], [ 2.00000000e-01, 2.08888889e-01], [ -1.61290323e-01, 9.72222222e-01], [ -1.01449275e-01, 1.70568562e-01], [ 1.27272727e-01, 1.04370891e-01], [ 2.46753247e-01, 8.33333333e-02], [ 2.35294118e-01, 1.66666667e-01], [ 2.77777778e-02, 2.30769231e-01], [ -9.67741935e-02, 2.30769231e-01], [ 3.57142857e-01, -1.52941176e-01], [ 2.38095238e-01, -9.09090909e-02], [ 2.63157895e-01, 1.81818182e-01], [ 8.33333333e-02, 1.00000000e+00], [ -4.76190476e-02, -1.11111111e-01], [ 2.30769231e-01, 1.81818182e-01], [ -1.52941176e-01, 1.30434783e-01], [ 6.92307692e-01, 2.50000000e-01], [ 6.66666667e-01, -1.11111111e-01], [ 1.00000000e+00, 1.31313131e-01], [ 0.00000000e+00, 0.00000000e+00]], [[ 1.60000000e-01, 1.64179104e-01], [ -3.22580645e-02, 1.49253731e-02], [ 4.11764706e-01, 2.54237288e-01], [ -1.44927536e-02, 1.30434783e-01], [ 1.00000000e-01, -5.08474576e-02], [ 1.50684932e-01, -1.42857143e-01], [ -7.93650794e-02, 1.50684932e-01], [ 2.66666667e-01, 1.66666667e-01], [ 1.66666667e-01, -4.54545455e-02], [ 1.42857143e-01, -4.54545455e-02], [ 1.30434783e-01, 1.81818182e-01], [ 5.88235294e-02, 1.66666667e-01], [ -9.09090909e-02, 1.53846154e-01], [ 2.50000000e-01, -1.42857143e-01], [ -7.69230769e-02, 1.50684932e-01], [ 1.76470588e-01, -2.65432099e-01], [ 2.50000000e-01, -4.54545455e-02], [ 1.37500000e-01, 2.41379310e-01], [ 1.00000000e+00, 1.81818182e-01], [ 6.00000000e-01, 1.81818182e-01], [ 0.00000000e+00, 0.00000000e+00]], [[ -6.06060606e-02, -1.85185185e-01], [ 1.66666667e-01, -5.26315789e-02], [ 1.86440678e-01, 3.44827586e-02], [ -1.61290323e-01, 3.91304348e-01], [ 3.84615385e-02, 2.00000000e-01], [ -9.80392157e-02, 1.80645161e-01], [ 1.11111111e-01, -1.61290323e-01], [ 1.52542373e-01, 8.18181818e-01], [ 2.94117647e-02, 5.29411765e-01], [ 1.03448276e-01, -9.80392157e-02], [ 3.91304348e-01, 8.00000000e-01], [ -2.77555756e-17, -1.00000000e+00], [ 3.44827586e-02, -1.05820106e-01], [ 2.00000000e-01, -4.34782609e-02], [ 5.29411765e-01, 8.18181818e-01], [ 2.72727273e-01, 4.97737557e-02], [ 1.11111111e-01, -1.86440678e-01], [ 6.14035088e-01, -1.05820106e-01], [ 8.18181818e-01, -3.70370370e-02], [ 1.00000000e+00, -1.00000000e+00], [ 0.00000000e+00, 0.00000000e+00]], [[ -1.22807018e-01, 7.24637681e-02], [ -7.93650794e-02, 1.21212121e-01], [ -7.69230769e-02, 6.66666667e-01], [ 1.34328358e-01, 2.05479452e-01], [ 7.24637681e-02, 1.00000000e-01], [ -1.42857143e-01, -2.14285714e-01], [ 2.28070175e-01, 4.76190476e-02], [ 4.76190476e-02, 5.56708673e-01], [ 1.66666667e-01, -2.14285714e-01], [ -2.11267606e-01, 5.05912620e-01], [ 1.00000000e-01, 5.68627451e-01], [ 2.50000000e-01, 1.00000000e+00], [ -3.33333333e-01, 5.56708673e-01], [ -3.04347826e-01, 5.64705882e-01], [ 0.00000000e+00, -5.15570934e-01], [ 1.66666667e-01, 0.00000000e+00], [ 5.05912620e-01, 5.68627451e-01], [ 5.78947368e-01, 5.05912620e-01], [ 1.00000000e+00, 7.86599022e-02], [ 1.00000000e+00, -5.42483660e-01], [ 0.00000000e+00, 0.00000000e+00]], [[ -1.91489362e-01, -2.90322581e-01], [ -2.04081633e-02, -1.32231405e-01], [ -4.10958904e-02, -6.56790123e-02], [ -2.92307692e-01, -5.67733990e-01], [ -3.12500000e-02, -2.94117647e-01], [ -2.90322581e-01, -2.25806452e-01], [ -4.54545455e-01, -5.26315789e-02], [ -1.29032258e-01, -1.52542373e-01], [ -7.50000000e-02, -9.23629929e-02], [ -7.46268657e-02, -2.91666667e-01], [ -2.25806452e-01, -1.52542373e-01], [ -2.94117647e-01, -2.91666667e-01], [ 5.88235294e-02, -1.97090909e-01], [ 5.88235294e-02, -5.67733990e-01], [ -1.42857143e-01, -1.63636364e-01], [ -5.26315789e-02, -4.73170732e-01], [ -2.91666667e-01, -1.57894737e-01], [ -2.50000000e-01, 8.18181818e-01], [ 1.00000000e+00, -5.34482759e-01], [ 1.00000000e+00, -1.00000000e+00], [ 0.00000000e+00, 0.00000000e+00]], [[ 8.77192982e-02, -3.63636364e-01], [ 1.42857143e-01, -5.71428571e-02], [ -5.71428571e-02, -1.72167707e-01], [ -3.33333333e-01, -7.24637681e-02], [ -3.23076923e-01, -2.00595238e-01], [ -2.18750000e-01, -8.33333333e-02], [ -2.50000000e-01, 1.11111111e-01], [ -3.51351351e-01, -7.24637681e-02], [ -2.20338983e-01, -2.00595238e-01], [ -3.23529412e-01, 1.06227106e-01], [ -1.20000000e-01, -1.87500000e-01], [ -5.20000000e-01, -1.42857143e-01], [ -4.54545455e-01, -2.00595238e-01], [ -1.42857143e-01, 1.06227106e-01], [ -1.42857143e-01, -2.00595238e-01], [ 1.11111111e-01, 1.98412698e-01], [ -1.17647059e-01, 1.06227106e-01], [ 1.06227106e-01, -4.00000000e-01], [ 8.57142857e-01, -1.87500000e-01], [ 6.92307692e-01, -1.11111111e-01], [ 0.00000000e+00, 0.00000000e+00]], [[ -6.12244898e-02, -3.06122449e-01], [ -3.33333333e-01, -2.72727273e-01], [ -2.78688525e-01, -3.23936961e-01], [ -9.43396226e-02, -3.20000000e-01], [ 6.06060606e-02, -2.80000000e-01], [ -2.69841270e-01, -2.38095238e-01], [ -3.20000000e-01, -3.20000000e-01], [ -2.00000000e-01, 1.40000000e-01], [ -3.82352941e-01, 2.26190476e-01], [ -2.63157895e-01, -2.98245614e-01], [ -2.72727273e-01, 1.40000000e-01], [ -3.68421053e-01, 1.40000000e-01], [ -3.00000000e-01, -1.09230324e-02], [ -3.75000000e-01, 1.40000000e-01], [ -2.00000000e-01, 2.77555756e-17], [ 2.00000000e-01, -5.86428571e-01], [ 2.95138889e-02, -3.26923077e-01], [ 2.26190476e-01, 2.26190476e-01], [ 5.00000000e-02, 3.33333333e-01], [ 5.00000000e-01, -2.18750000e-01], [ 0.00000000e+00, 0.00000000e+00]]])

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1楼 · 发布于 2024-04-20 09:07:04

您可以使用numpy.amax，它返回数组的最大值或沿轴的最大值。在

示例（您的案例）：

在：np.amax(np.array([[[1,2],[5,6]],[[10,11],[15,16]]]), 2)

输出： array([[ 2, 6], [11, 16]])

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