Python dask.array.overlap.overlap用法及代码示例

用法: dask.array.overlap.overlap(x, depth, boundary)

在相邻块之间共享边界

参数：

x: da.Array：: 一个暗阵列
depth: dict：: 每个轴的共享边界的大小
boundary: dict：: 每个轴上的边界条件。选项是‘reflect’, ‘periodic’, ‘nearest’, ‘none’，或一个数组值。这样的值将用该值填充边界。
The depth input informs how many cells to overlap between neighboring：
blocks ``{0: 2, 2: 5}`` means share two cells in 0 axis, 5 cells in 2 axis.：
Axes missing from this input will not be overlapped.：
Any axis containing chunks smaller than depth will be rechunked if：
possible.：

例子：

>>> import numpy as np
>>> import dask.array as da

>>> x = np.arange(64).reshape((8, 8))
>>> d = da.from_array(x, chunks=(4, 4))
>>> d.chunks
((4, 4), (4, 4))

>>> g = da.overlap.overlap(d, depth={0: 2, 1: 1},
...                       boundary={0: 100, 1: 'reflect'})
>>> g.chunks
((8, 8), (6, 6))

>>> np.array(g)
array([[100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100],
       [100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100],
       [  0,   0,   1,   2,   3,   4,   3,   4,   5,   6,   7,   7],
       [  8,   8,   9,  10,  11,  12,  11,  12,  13,  14,  15,  15],
       [ 16,  16,  17,  18,  19,  20,  19,  20,  21,  22,  23,  23],
       [ 24,  24,  25,  26,  27,  28,  27,  28,  29,  30,  31,  31],
       [ 32,  32,  33,  34,  35,  36,  35,  36,  37,  38,  39,  39],
       [ 40,  40,  41,  42,  43,  44,  43,  44,  45,  46,  47,  47],
       [ 16,  16,  17,  18,  19,  20,  19,  20,  21,  22,  23,  23],
       [ 24,  24,  25,  26,  27,  28,  27,  28,  29,  30,  31,  31],
       [ 32,  32,  33,  34,  35,  36,  35,  36,  37,  38,  39,  39],
       [ 40,  40,  41,  42,  43,  44,  43,  44,  45,  46,  47,  47],
       [ 48,  48,  49,  50,  51,  52,  51,  52,  53,  54,  55,  55],
       [ 56,  56,  57,  58,  59,  60,  59,  60,  61,  62,  63,  63],
       [100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100],
       [100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100]])

相关用法

注：本文由纯净天空筛选整理自dask.org大神的英文原创作品 dask.array.overlap.overlap。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。