如何堆叠“numpy掩蔽数组”和“numpy数组”

I have two numpy arrays:

我有两个numpy数组:

A  = [ 186.,  176., 158.,  180.,  186.,  168.,  168.,  164.,  178.,  170.,  189.,  195.,
       172.,  187., 180.,  186.,  185.,  168.,  179.,  178.,  183.,  179.,  170.,  175.]

B = [  -1., 60., 45., 58., 70., 70., 60., 64., 68., 78., 80., 78.,
       66., 74., 84., 85., 75., 60., 71., 67., 88., -1., 70., 60.]

I want to stack only Positive values and I don't know how?

我只想把正的值叠加起来，我不知道怎么做?

I used numpy masked array to mask "-1"s from B

我使用numpy掩蔽数组来掩盖B中的“-1”s

thank you

谢谢你！

3 个解决方案

#1

Assuming you want to stack a and b for every position where b>=0:

假设对于b>=0的每个位置都要堆栈a和b:

check = (b>=0)
c = np.vstack((a[check], b[check]))

should do the job...

应该做的工作……

#2

Maybe use an unsigned value for it?

也许用一个无符号的值?

unsigned int array[2] = {0, 1};

http://en.wikipedia.org/wiki/Integer_(computer_science)#value_and_representation

http://en.wikipedia.org/wiki/Integer_(computer_science)# value_and_representation

#3

If you only need to stack 1-dimensional arrays and the removal of negative numbers from B will make its shape the same as A, this should work:

如果你只需要堆叠一维数组，并且从B中去除负数将使其形状与A相同，这应该可以工作:

np.vstack( (A, B[B >= 0.0]) )

#1