python - 有没有一种方法可以通过位置和dtype为Numpy数组值建立索引？(Is there a way to index a Numpy array value by position AND dtype?)

Question

Having generated an array with

(用生成了一个数组)

x = np.zeros([3,1],dtype = [("A",int),("B",int)])

the resulting array would be

(结果数组将是)

>>> x
array([[(0, 0)],
       [(0, 0)],
       [(0, 0)]], dtype=[('A', '<i4'), ('B', '<i4')])

How can i get the value of field A in the second row?

(如何获取第二行中字段A的值？)

When i try >>> x["high",2] or >>> x[2,"high"] i get the error

(当我尝试>>> x["high",2]或>>> x[2,"high"] ，出现错误)

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices

  ask by Dereek69 translate from so

Answer 1

等待大神答复