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ee.Array.cos
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On an element-wise basis, computes the cosine of the input in radians.
Usage | Returns | Array.cos() | Array |
Argument | Type | Details | this: input | Array | The input array. |
Examples
Code Editor (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 setup
See the
Python Environment page for information on the Python API and using
geemap
for interactive development.
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]))
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["\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```"]]