dask.array.coarsen

dask.array.coarsen¶

dask.array.coarsen(reduction, x, axes, trim_excess=False, **kwargs)[源代码]¶

通过对固定大小的邻域应用缩减来粗化数组

参数

reduction: 函数: 类似 np.sum, np.mean 等函数…
x: np.ndarray: 要粗化的数组
axes: dict: 轴到粗化因子的映射

示例

>>> x = np.array([1, 2, 3, 4, 5, 6])
>>> coarsen(np.sum, x, {0: 2})
array([ 3,  7, 11])
>>> coarsen(np.max, x, {0: 3})
array([3, 6])

提供每个维度的比例字典

>>> x = np.arange(24).reshape((4, 6))
>>> x
array([[ 0,  1,  2,  3,  4,  5],
       [ 6,  7,  8,  9, 10, 11],
       [12, 13, 14, 15, 16, 17],
       [18, 19, 20, 21, 22, 23]])

>>> coarsen(np.min, x, {0: 2, 1: 3})
array([[ 0,  3],
       [12, 15]])

你必须避免明确地使用过多的元素

>>> x = np.array([1, 2, 3, 4, 5, 6, 7, 8])
>>> coarsen(np.min, x, {0: 3}, trim_excess=True)
array([1, 4])

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