获取numpy数组中非零元素的数量?

Jzl*_*325 6 python numpy

是否可以在非数组中获取非零元素的长度而不迭代数组或屏蔽数组.速度是计算长度的主要目标.

基本上,像len(array).where(array != 0).

如果它改变了答案,则每行将以零开头.数组用零填充在对角线上.

DSM*_*DSM 16

假设您的意思是非零元素的总数(而不是非零行的总数):

In [12]: a = np.random.randint(0, 3, size=(100,100))

In [13]: timeit len(a.nonzero()[0])
1000 loops, best of 3: 306 us per loop

In [14]: timeit (a != 0).sum()
10000 loops, best of 3: 46 us per loop
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甚至更好:

In [22]: timeit np.count_nonzero(a)
10000 loops, best of 3: 39 us per loop
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最后一个,count_nonzero当阵列很小时似乎表现得很好,而sum诀窍不是那么多:

In [33]: a = np.random.randint(0, 3, size=(10,10))

In [34]: timeit len(a.nonzero()[0])
100000 loops, best of 3: 6.18 us per loop

In [35]: timeit (a != 0).sum()
100000 loops, best of 3: 13.5 us per loop

In [36]: timeit np.count_nonzero(a)
1000000 loops, best of 3: 686 ns per loop
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