Question

在Numpy中，我们可以使用2D数组作为一维数组的索引吗？什么数组数组索引规则适用于以下代码？

# 1D array
arr = np.arange(10)
# array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

# 2D index 
indx = np.array([[2, 4], [6, 8]])

# 2D index in 1D array
arr[indx]

# Output of above indexing is a 2D array!
array([[2, 4],[6, 8]])

Answer 1

什么数组数组索引规则适用于以下代码？

这就是numpy的高级索引工作原理。结果数组的形状与索引数组的形状，数组的形状以及传递索引的轴有关。以下是将3D数组作为索引传递给具有不同形状的数组的第一轴的一些示例。

In [47]: a.shape
Out[47]: (2, 5)

In [48]: b = a[np.array([[[0],[1]],[[1],[1]]])]

In [49]: b.shape
Out[49]: (2, 2, 1, 5)

In [50]: arr.shape
Out[50]: (3, 3, 3)

In [51]: b = arr[np.array([[[0],[1]],[[1],[1]]])]

In [52]: b.shape
Out[52]: (2, 2, 1, 3, 3)

以下是将不同数组传递给不同轴时的结果：

In [61]: b = arr[[[0],[2]],[[1],[0]]]

In [62]: b.shape
Out[62]: (2, 1, 3)

In [63]: arr.shape
Out[63]: (3, 3, 3)

在所有这些索引中，Numpy将检查多个内容，首先，它会检查作为索引传递的对象的类型。其次，它将索引数组的形状与数组各轴的形状进行比较。第三，它检查结果是否产生有效的Numpy数组。

以下是其他一些例子：

In [64]: b = arr[[[[0],[2]]],[[1],[0]]]

In [65]: b.shape
Out[65]: (1, 2, 1, 3)

In [66]: b
Out[66]: 
array([[[[ 3,  4,  5]],

        [[18, 19, 20]]]])

In [67]: b = arr[[[[0],[2]]],[1],[0]]

In [68]: b
Out[68]: 
array([[[ 3],
        [21]]])

In [69]: b = arr[[[['a'],[2]]],[1],[0]]
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-69-dba030ba9787> in <module>()
----> 1 b = arr[[[['a'],[2]]],[1],[0]]

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

In [70]: b = arr[[[[0],[2]]],[1],0]

In [71]: b = arr[[[[0],[2]]],[5],0]
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-71-0962012e570a> in <module>()
----> 1 b = arr[[[[0],[2]]],[5],0]

IndexError: index 5 is out of bounds for axis 1 with size 3

In [72]: 

In [72]: b = arr[[[[0],[[2]]]],[5],0]
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-72-9a520b0cb30e> in <module>()
----> 1 b = arr[[[[0],[[2]]]],[5],0]

ValueError: setting an array element with a sequence.

In [73]: b = arr[[[[0],[[2]]]],[5],[0]]
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-73-67187db6f452> in <module>()
----> 1 b = arr[[[[0],[[2]]]],[5],[0]]

ValueError: setting an array element with a sequence.

使用2D数组索引1D Numpy数组

1 个答案: