mars.tensor.count_nonzero#
- mars.tensor.count_nonzero(a, axis=None, combine_size=None)[源代码]#
Counts the number of non-zero values in the tensor
a
.The word “non-zero” is in reference to the Python 2.x built-in method
__nonzero__()
(renamed__bool__()
in Python 3.x) of Python objects that tests an object’s “truthfulness”. For example, any number is considered truthful if it is nonzero, whereas any string is considered truthful if it is not the empty string. Thus, this function (recursively) counts how many elements ina
(and in sub-tensors thereof) have their__nonzero__()
or__bool__()
method evaluated toTrue
.- 参数
- 返回
count – Number of non-zero values in the array along a given axis. Otherwise, the total number of non-zero values in the tensor is returned.
- 返回类型
int or tensor of int
参见
nonzero
Return the coordinates of all the non-zero values.
实际案例
>>> import mars.tensor as mt
>>> mt.count_nonzero(mt.eye(4)).execute() 4 >>> mt.count_nonzero([[0,1,7,0,0],[3,0,0,2,19]]).execute() 5 >>> mt.count_nonzero([[0,1,7,0,0],[3,0,0,2,19]], axis=0).execute() array([1, 1, 1, 1, 1]) >>> mt.count_nonzero([[0,1,7,0,0],[3,0,0,2,19]], axis=1).execute() array([2, 3])