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ee.Array.exp
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。
以元素为单位,计算欧拉数 e 的输入次幂。
示例
代码编辑器 (JavaScript)
var empty = ee.Array([], ee.PixelType.int8());
print(empty.exp()); // []
// [Math.pow(Math.E, -1), 1, Math.E, 7.389]
print(ee.Array([-1, 0, 1, 2]).exp());
var start = -5;
var end = 2;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.exp();
// Plot exp() defined above.
var chart = ui.Chart.array.values(values, 0, points)
.setOptions({
viewWindow: {min: start, max: end},
hAxis: {
title: 'x',
viewWindowMode: 'maximized',
},
vAxis: {
title: 'exp(x)',
},
lineWidth: 1,
pointSize: 0,
});
print(chart);
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)
import altair as alt
import pandas as pd
empty = ee.Array([], ee.PixelType.int8())
display(empty.exp()) # []
# [pow(math.e, -1), 1, math.e, 7.389]
display(ee.Array([-1, 0, 1, 2]).exp())
start = -5
end = 2
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.exp()
df = pd.DataFrame({'x': points.getInfo(), 'exp(x)': values.getInfo()})
# Plot exp() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x'),
y=alt.Y('exp(x)')
)
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
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.exp()\u003c/code\u003e calculates the exponential of each element in an input array, raising Euler's number (e) to the power of each element.\u003c/p\u003e\n"],["\u003cp\u003eThe function returns a new array with the calculated exponential values.\u003c/p\u003e\n"],["\u003cp\u003eIt can be applied to arrays of any numeric data type and even empty arrays.\u003c/p\u003e\n"],["\u003cp\u003eThe examples provided showcase its usage in both JavaScript and Python environments for interactive visualization.\u003c/p\u003e\n"]]],[],null,["# ee.Array.exp\n\nOn an element-wise basis, computes the Euler's number e raised to the power of the input.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------|---------|\n| Array.exp`()` | Array |\n\n| Argument | Type | Details |\n|---------------|-------|------------------|\n| this: `input` | Array | The input array. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nvar empty = ee.Array([], ee.PixelType.int8());\nprint(empty.exp()); // []\n\n// [Math.pow(Math.E, -1), 1, Math.E, 7.389]\nprint(ee.Array([-1, 0, 1, 2]).exp());\n\nvar start = -5;\nvar end = 2;\nvar points = ee.Array(ee.List.sequence(start, end, null, 50));\nvar values = points.exp();\n\n// Plot exp() defined above.\nvar chart = ui.Chart.array.values(values, 0, points)\n .setOptions({\n viewWindow: {min: start, max: end},\n hAxis: {\n title: 'x',\n viewWindowMode: 'maximized',\n },\n vAxis: {\n title: 'exp(x)',\n },\n lineWidth: 1,\n pointSize: 0,\n });\nprint(chart);\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\nimport altair as alt\nimport pandas as pd\n\nempty = ee.Array([], ee.PixelType.int8())\ndisplay(empty.exp()) # []\n\n# [pow(math.e, -1), 1, math.e, 7.389]\ndisplay(ee.Array([-1, 0, 1, 2]).exp())\n\nstart = -5\nend = 2\npoints = ee.Array(ee.List.sequence(start, end, None, 50))\nvalues = points.exp()\n\ndf = pd.DataFrame({'x': points.getInfo(), 'exp(x)': values.getInfo()})\n\n# Plot exp() defined above.\nalt.Chart(df).mark_line().encode(\n x=alt.X('x'),\n y=alt.Y('exp(x)')\n)\n```"]]