Question

我是numpy的新手，并尝试从here了解以下示例。我无法理解

的输出

>>> palette[image]

当索引数组a是多维的时，单个索引数组引用a的第一个维度。以下示例通过使用调色板将标签图像转换为彩色图像来显示此行为。

>>> palette = array( [ [0,0,0],                # black
...                    [255,0,0],              # red
...                    [0,255,0],              # green
...                    [0,0,255],              # blue
...                    [255,255,255] ] )       # white
>>> image = array( [ [ 0, 1, 2, 0 ],           # each value corresponds to a color in the palette
...                  [ 0, 3, 4, 0 ]  ] )
>>> palette[image]                            # the (2,4,3) color image
array([[[  0,   0,   0],
        [255,   0,   0],
        [  0, 255,   0],
        [  0,   0,   0]],
       [[  0,   0,   0],
        [  0,   0, 255],
        [255, 255, 255],
        [  0,   0,   0]]])

Answer 1

您正在创建一个3D数组，其中第一个2D数组（带有3D数组）是通过从palette提取image[0]的索引来给出的，而第二个数组是通过从中提取行来给出的由palette的索引给出的image[1]。

>>> palette = array( [ [0,0,0],                # black
...                    [255,0,0],              # red
...                    [0,255,0],              # green
...                    [0,0,255],              # blue
...                    [255,255,255] ] )       # white
>>> image = array( [ [ 0, 1, 2, 0 ],           # each value corresponds to a color in the palette
...                  [ 0, 3, 4, 0 ]  ] )
>>> palette[image]                            # the (2,4,3) color image
array([[[  0,   0,   0], # row at index 0 of palete
        [255,   0,   0], # index 1
        [  0, 255,   0], # index 2
        [  0,   0,   0]], # index 0
       [[  0,   0,   0], # index 0
        [  0,   0, 255], # index 3
        [255, 255, 255], # index 4
        [  0,   0,   0]]]) # index 0

Answer 2

这可能有助于您理解：

array([[[  0,   0,   0],   # palette[0]
        [255,   0,   0],   # palette[1]
        [  0, 255,   0],   # palette[2]
        [  0,   0,   0]],  # palette[0]

       [[  0,   0,   0],   # palette[0]
        [  0,   0, 255],   # palette[3]
        [255, 255, 255],   # palette[4]
        [  0,   0,   0]]]) # palette[0]

多维numpy数组中的数组索引

2 个答案: