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ee.Array.accum
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
通过将结果的每个元素设置为沿相应轴的元素(包括当前位置)的缩减值,沿给定轴累积数组的元素。可用于生成累计和、单调递增序列等。
用法 | 返回 |
---|
Array.accum(axis, reducer) | 数组 |
参数 | 类型 | 详细信息 |
---|
此:array | 数组 | 要累积的数组。 |
axis | 整数 | 执行累积的轴。 |
reducer | 缩减器,默认值:null | 用于累积值的 reducer。默认值为 SUM,用于生成每个向量沿指定轴的累计和。 |
示例
代码编辑器 (JavaScript)
print(ee.Array([-1]).accum(0)); // [-1]
print(ee.Array([-2, 1]).accum(0)); // [-2, -1]
print(ee.Array([-2, 1, 9]).accum(0)); // [-2, -1, 8]
// accum over 2D arrays with different axes.
print(ee.Array([[1, 3], [5, 7]]).accum(0)); // [[1,3],[6,10]]
print(ee.Array([[1, 3], [5, 7]]).accum(1)); // [[1,4],[5,12]]
// sum is the default reducer.
print(ee.Array([2, -2, 3, 1]).accum(0)); // [2,0,3,4]
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum())); // [2,0,3,4]
// Some example reducers.
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max())); // [2,2,3,3]
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean())); // [2,0,1,1]
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min())); // [2,-2,-2,-2]
print(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product())); // [2,-4,-12]
Python 设置
如需了解 Python API 和如何使用 geemap
进行交互式开发,请参阅
Python 环境页面。
import ee
import geemap.core as geemap
Colab (Python)
display(ee.Array([-1]).accum(0)) # [-1]
display(ee.Array([-2, 1]).accum(0)) # [-2, -1]
display(ee.Array([-2, 1, 9]).accum(0)) # [-2, -1, 8]
# accum over 2D arrays with different axes.
display(ee.Array([[1, 3], [5, 7]]).accum(0)) # [[1, 3],[6, 10]]
display(ee.Array([[1, 3], [5, 7]]).accum(1)) # [[1, 4],[5, 12]]
# sum is the default reducer.
display(ee.Array([2, -2, 3, 1]).accum(0)) # [2, 0, 3, 4]
# [2, 0, 3, 4]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum()))
# Some example reducers.
# [2, 2, 3, 3]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max()))
# [2, 0, 1, 1]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean()))
# [2, -2, -2, -2]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min()))
# [2, -4, -12]
display(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product()))
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最后更新时间 (UTC):2025-07-26。
[null,null,["最后更新时间 (UTC):2025-07-26。"],[[["\u003cp\u003e\u003ccode\u003eArray.accum\u003c/code\u003e calculates the cumulative reduction of elements in an array along a specified axis.\u003c/p\u003e\n"],["\u003cp\u003eIt uses a reducer function, defaulting to sum, to determine how elements are accumulated.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eaxis\u003c/code\u003e argument defines the direction of accumulation (0 for rows, 1 for columns in 2D arrays).\u003c/p\u003e\n"],["\u003cp\u003eVarious reducers like \u003ccode\u003emin\u003c/code\u003e, \u003ccode\u003emax\u003c/code\u003e, \u003ccode\u003emean\u003c/code\u003e, and \u003ccode\u003eproduct\u003c/code\u003e can be used for different cumulative calculations.\u003c/p\u003e\n"],["\u003cp\u003eThe result is a new array with the same dimensions as the input, containing the accumulated values.\u003c/p\u003e\n"]]],[],null,["# ee.Array.accum\n\nAccumulates elements of an array along the given axis, by setting each element of the result to the reduction of elements along that axis up to and including the current position. May be used to make a cumulative sum, a monotonically increasing sequence, etc.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|----------------------------------|---------|\n| Array.accum`(axis, `*reducer*`)` | Array |\n\n| Argument | Type | Details |\n|---------------|------------------------|------------------------------------------------------------------------------------------------------------------|\n| this: `array` | Array | Array to accumulate. |\n| `axis` | Integer | Axis along which to perform the accumulation. |\n| `reducer` | Reducer, default: null | Reducer to accumulate values. Default is SUM, to produce the cumulative sum of each vector along the given axis. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint(ee.Array([-1]).accum(0)); // [-1]\nprint(ee.Array([-2, 1]).accum(0)); // [-2, -1]\nprint(ee.Array([-2, 1, 9]).accum(0)); // [-2, -1, 8]\n\n// accum over 2D arrays with different axes.\nprint(ee.Array([[1, 3], [5, 7]]).accum(0)); // [[1,3],[6,10]]\nprint(ee.Array([[1, 3], [5, 7]]).accum(1)); // [[1,4],[5,12]]\n\n// sum is the default reducer.\nprint(ee.Array([2, -2, 3, 1]).accum(0)); // [2,0,3,4]\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum())); // [2,0,3,4]\n\n// Some example reducers.\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max())); // [2,2,3,3]\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean())); // [2,0,1,1]\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min())); // [2,-2,-2,-2]\nprint(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product())); // [2,-4,-12]\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\ndisplay(ee.Array([-1]).accum(0)) # [-1]\ndisplay(ee.Array([-2, 1]).accum(0)) # [-2, -1]\ndisplay(ee.Array([-2, 1, 9]).accum(0)) # [-2, -1, 8]\n\n# accum over 2D arrays with different axes.\ndisplay(ee.Array([[1, 3], [5, 7]]).accum(0)) # [[1, 3],[6, 10]]\ndisplay(ee.Array([[1, 3], [5, 7]]).accum(1)) # [[1, 4],[5, 12]]\n\n# sum is the default reducer.\ndisplay(ee.Array([2, -2, 3, 1]).accum(0)) # [2, 0, 3, 4]\n\n# [2, 0, 3, 4]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum()))\n\n\n# Some example reducers.\n# [2, 2, 3, 3]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max()))\n\n\n# [2, 0, 1, 1]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean()))\n\n# [2, -2, -2, -2]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min()))\n\n# [2, -4, -12]\ndisplay(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product()))\n```"]]