I have a 32x32 matrix of float numbers. I want to get a sum of all the elements in it. But when I use loop:
我有一个32x32的浮点数矩阵。我想得到它中所有元素的总和。但是当我使用循环时:
s = 0
for i in range(len(Temp)):
for j in range(len(Temp)):
s += Temp[i][j]
I get 2.795541576006144e-13
我得到2.795541576006144e-13
And when I use NumPy .sum(..) method:
当我使用NumPy .sum(..)方法时:
np.sum(Temp)
I get 3.197442310920451e-13
我得到3.197442310920451e-13
The results are pretty different, so which is right?
结果差异很大,所以哪个是对的?
P.S. can't show the array I use for an example above, because it says my post is mostly code
附:无法显示我用于上面示例的数组,因为它说我的帖子主要是代码
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-80.29554219 77.74240875 -68.14179118 56.81967556 -41.7763981
26.54681442 -9.1485821 ]
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26.54681442 -9.1485821 ]
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16.34744761 -5.63366904]
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-5.51985755 1.90225724]
1 个解决方案
#1
3
They are both correct. Please see that it is such small number that in both cases it is almost zero (because of e-13 part).
他们都是正确的。请注意它是如此之小的数字,在两种情况下它几乎为零(因为e-13部分)。
Please see this post about floating point arithmetic issues and limitations: https://docs.python.org/3/tutorial/floatingpoint.html
请参阅此帖有关浮点运算问题和限制:https://docs.python.org/3/tutorial/floatingpoint.html
#1
3
They are both correct. Please see that it is such small number that in both cases it is almost zero (because of e-13 part).
他们都是正确的。请注意它是如此之小的数字,在两种情况下它几乎为零(因为e-13部分)。
Please see this post about floating point arithmetic issues and limitations: https://docs.python.org/3/tutorial/floatingpoint.html
请参阅此帖有关浮点运算问题和限制:https://docs.python.org/3/tutorial/floatingpoint.html