删除零元素的对角线

mzu*_*mzu 6 python numpy diagonal numpy-ndarray

我正在尝试从原始形状重塑数组,以使每一行的元素沿对角线下降:

np.random.seed(0) 
my_array = np.random.randint(1, 50, size=(5, 3))
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array([[45, 48,  1],
       [ 4,  4, 40],
       [10, 20, 22],
       [37, 24,  7],
       [25, 25, 13]])
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我希望结果如下所示:

my_array_2 = np.array([[45,  0,  0],
                       [ 4, 48,  0],
                       [10,  4,  1],
                       [37, 20, 40],
                       [25, 24, 22],
                       [ 0, 25,  7],
                       [ 0,  0, 13]])
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这是我能得到的最接近的解决方案:

my_diag = []
for i in range(len(my_array)):
    my_diag_ = np.diag(my_array[i], k=0)
    my_diag.append(my_diag_)
my_array1 = np.vstack(my_diag)
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array([[45,  0,  0],
       [ 0, 48,  0],
       [ 0,  0,  1],
       [ 4,  0,  0],
       [ 0,  4,  0],
       [ 0,  0, 40],
       [10,  0,  0],
       [ 0, 20,  0],
       [ 0,  0, 22],
       [37,  0,  0],
       [ 0, 24,  0],
       [ 0,  0,  7],
       [25,  0,  0],
       [ 0, 25,  0],
       [ 0,  0, 13]])
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从这里开始,我认为有可能删除所有零对角线,但我不知道该怎么做。

hpa*_*ulj 1

In [134]: arr = np.array([[45, 48,  1],
     ...:        [ 4,  4, 40],
     ...:        [10, 20, 22],
     ...:        [37, 24,  7],
     ...:        [25, 25, 13]])
In [135]: res= np.zeros((arr.shape[0]+arr.shape[1]-1, arr.shape[1]), arr.dtype)
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根据如何索引对角线的提示np.diag,迭代 的行arr

In [136]: for i in range(arr.shape[0]):
     ...:     n = i*arr.shape[1]
     ...:     m = arr.shape[1]
     ...:     res.flat[n:n+m**2:m+1] = arr[i,:]
     ...: 
In [137]: res
Out[137]: 
array([[45,  0,  0],
       [ 4, 48,  0],
       [10,  4,  1],
       [37, 20, 40],
       [25, 24, 22],
       [ 0, 25,  7],
       [ 0,  0, 13]])
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