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ee.Array.tan
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On an element-wise basis, computes the tangent of the input in radians.
Usage | Returns | Array.tan() | Array |
Argument | Type | Details | this: input | Array | The input array. |
Examples
Code Editor (JavaScript)
var π = Math.PI;
print(ee.Array([-π / 4]).tan()); // [Almost -1]
print(ee.Array([0]).tan()); // [0]
print(ee.Array([π / 4]).tan()); // [Almost 1]
var start = -π / 3;
var end = π / 3;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.tan();
// Plot tan() 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 / 3'},
{v: 0, f: 0},
{v: end, f: 'π / 3'}]
},
vAxis: {
title: 'tan(x)',
ticks: [
{v: -Math.sqrt(3), f: '-√3'},
{v: 0},
{v: Math.sqrt(3), f: '√3'}]
},
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 / 4]).tan()) # [Almost -1]
display(ee.Array([0]).tan()) # [0]
display(ee.Array([π / 4]).tan()) # [Almost 1]
start = -π / 3
end = π / 3
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.tan()
df = pd.DataFrame({'x': points.getInfo(), 'tan(x)': values.getInfo()})
# Plot tan() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
y=alt.Y('tan(x)', axis=alt.Axis(values=[-math.sqrt(3), 0, math.sqrt(3)]))
)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["\u003cp\u003e\u003ccode\u003eArray.tan()\u003c/code\u003e calculates the tangent of each element in an input array, with the input values expected to be in radians.\u003c/p\u003e\n"],["\u003cp\u003eThe function returns a new array containing the calculated tangent values for each corresponding element of the input array.\u003c/p\u003e\n"],["\u003cp\u003eUsage examples are provided in JavaScript, Python, and Colab, demonstrating how to apply \u003ccode\u003eArray.tan()\u003c/code\u003e and visualize the results.\u003c/p\u003e\n"]]],["The `Array.tan()` function computes the tangent of an input array element-wise, with values in radians. The function takes an array as input and returns a new array containing the tangent of each element. Examples demonstrate the use of `tan()` with different inputs, including `-π/4`, `0`, and `π/4`. Additionally, the examples illustrate how to generate a range of values and visualize the tangent function using a chart.\n"],null,["# ee.Array.tan\n\nOn an element-wise basis, computes the tangent of the input in radians.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------|---------|\n| Array.tan`()` | 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 / 4]).tan()); // [Almost -1]\nprint(ee.Array([0]).tan()); // [0]\nprint(ee.Array([π / 4]).tan()); // [Almost 1]\n\nvar start = -π / 3;\nvar end = π / 3;\nvar points = ee.Array(ee.List.sequence(start, end, null, 50));\nvar values = points.tan();\n\n// Plot tan() 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 / 3'},\n {v: 0, f: 0},\n {v: end, f: 'π / 3'}]\n },\n vAxis: {\n title: 'tan(x)',\n ticks: [\n {v: -Math.sqrt(3), f: '-√3'},\n {v: 0},\n {v: Math.sqrt(3), f: '√3'}]\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 / 4]).tan()) # [Almost -1]\ndisplay(ee.Array([0]).tan()) # [0]\ndisplay(ee.Array([π / 4]).tan()) # [Almost 1]\n\nstart = -π / 3\nend = π / 3\npoints = ee.Array(ee.List.sequence(start, end, None, 50))\nvalues = points.tan()\n\ndf = pd.DataFrame({'x': points.getInfo(), 'tan(x)': values.getInfo()})\n\n# Plot tan() defined above.\nalt.Chart(df).mark_line().encode(\n x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),\n y=alt.Y('tan(x)', axis=alt.Axis(values=[-math.sqrt(3), 0, math.sqrt(3)]))\n)\n```"]]