方法1使用np.meshgrid,然后堆疊-

r,c = np.meshgrid(*m)

out = np.column_stack((r.ravel('F'), c.ravel('F') ))

方法2或者,使用np.array()然后進行轉置,重塑-

np.array(np.meshgrid(*m)).T.reshape(-1,len(m))

對于np.ix_中使用的通用數組數目的通用情況,這里是需要進行的修改-

p = np.r_[2:0:-1,3:len(m)+1,0]

out = np.array(np.meshgrid(*m)).transpose(p).reshape(-1,len(m))

樣品運行-

兩個數組的情況：

In [376]: m = np.ix_([0, 2, 4], [1, 3])

In [377]: p = np.r_[2:0:-1,3:len(m)+1,0]

In [378]: np.array(np.meshgrid(*m)).transpose(p).reshape(-1,len(m))

Out[378]:

array([[0, 1],

[0, 3],

[2, 1],

[2, 3],

[4, 1],

[4, 3]])

三個數組的情況：

In [379]: m = np.ix_([0, 2, 4], [1, 3],[6,5,9])

In [380]: p = np.r_[2:0:-1,3:len(m)+1,0]

In [381]: np.array(np.meshgrid(*m)).transpose(p).reshape(-1,len(m))

Out[381]:

array([[0, 1, 6],

[0, 1, 5],

[0, 1, 9],

[0, 3, 6],

[0, 3, 5],

[0, 3, 9],

[2, 1, 6],

[2, 1, 5],

[2, 1, 9],

[2, 3, 6],

[2, 3, 5],

[2, 3, 9],

[4, 1, 6],

[4, 1, 5],

[4, 1, 9],

[4, 3, 6],

[4, 3, 5],

[4, 3, 9]])