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ee.Array.cos
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。
按元素计算以弧度表示的输入的余弦。
示例
代码编辑器 (JavaScript)
var π = Math.PI;
print(ee.Array([-π]).cos()); // [-1]
print(ee.Array([-π / 2.0]).cos()); // [Almost zero]
print(ee.Array([0]).cos()); // [1]
print(ee.Array([π / 2.0]).cos()); // [Almost zero]
print(ee.Array([π]).cos()); // [-1]
var start = -π;
var end = π;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.cos();
// Plot cos() defined above.
var chart = ui.Chart.array.values(values, 0, points)
.setOptions({
viewWindow: {min: start, max: end},
hAxis: {
title: 'x',
viewWindowMode: 'maximized',
ticks: [
{v: start, f: '-π'},
{v: 0, f: 0},
{v: end, f: 'π'}]
},
vAxis: {
title: 'cos(x)',
ticks: [
{v: -1, f: -1},
{v: 0, f: 0},
{v: 1, f: 1}]
},
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 math
import altair as alt
import pandas as pd
π = math.pi
display(ee.Array([-π]).cos()) # [-1]
display(ee.Array([-π / 2.0]).cos()) # [Almost zero]
display(ee.Array([0]).cos()) # [1]
display(ee.Array([π / 2.0]).cos()) # [Almost zero]
display(ee.Array([π]).cos()) # [-1]
start = -π
end = π
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.cos()
df = pd.DataFrame({'x': points.getInfo(), 'cos(x)': values.getInfo()})
# Plot cos() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
y=alt.Y('cos(x)', axis=alt.Axis(values=[-1, 0, 1]))
)
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):2025-07-27。
[null,null,["最后更新时间 (UTC):2025-07-27。"],[[["\u003cp\u003eCalculates the cosine of each element within an input array, with the input values expected to be in radians.\u003c/p\u003e\n"],["\u003cp\u003eReturns a new array containing the cosine results, maintaining the structure of the input array.\u003c/p\u003e\n"],["\u003cp\u003eUtilizes the standard mathematical definition of cosine, producing results ranging from -1 to 1.\u003c/p\u003e\n"],["\u003cp\u003eCan be applied to single values or large arrays for efficient trigonometric computations in Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eUsage examples are provided in JavaScript and Python environments with visualizations to aid in comprehension.\u003c/p\u003e\n"]]],[],null,["# ee.Array.cos\n\nOn an element-wise basis, computes the cosine of the input in radians.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------|---------|\n| Array.cos`()` | 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 π = Math.PI;\nprint(ee.Array([-π]).cos()); // [-1]\nprint(ee.Array([-π / 2.0]).cos()); // [Almost zero]\nprint(ee.Array([0]).cos()); // [1]\nprint(ee.Array([π / 2.0]).cos()); // [Almost zero]\nprint(ee.Array([π]).cos()); // [-1]\n\nvar start = -π;\nvar end = π;\nvar points = ee.Array(ee.List.sequence(start, end, null, 50));\nvar values = points.cos();\n\n// Plot cos() 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 ticks: [\n {v: start, f: '-π'},\n {v: 0, f: 0},\n {v: end, f: 'π'}]\n },\n vAxis: {\n title: 'cos(x)',\n ticks: [\n {v: -1, f: -1},\n {v: 0, f: 0},\n {v: 1, f: 1}]\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 math\nimport altair as alt\nimport pandas as pd\n\nπ = math.pi\ndisplay(ee.Array([-π]).cos()) # [-1]\ndisplay(ee.Array([-π / 2.0]).cos()) # [Almost zero]\ndisplay(ee.Array([0]).cos()) # [1]\ndisplay(ee.Array([π / 2.0]).cos()) # [Almost zero]\ndisplay(ee.Array([π]).cos()) # [-1]\n\nstart = -π\nend = π\npoints = ee.Array(ee.List.sequence(start, end, None, 50))\nvalues = points.cos()\n\ndf = pd.DataFrame({'x': points.getInfo(), 'cos(x)': values.getInfo()})\n\n# Plot cos() defined above.\nalt.Chart(df).mark_line().encode(\n x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),\n y=alt.Y('cos(x)', axis=alt.Axis(values=[-1, 0, 1]))\n)\n```"]]