ee.Array.sin
On an element-wise basis, computes the sine of the input in radians.
Usage | Returns |
---|
Array.sin() | Array |
Argument | Type | Details |
---|
this: input | Array | The input array. |
Examples
var π = Math.PI;
print(ee.Array([-π]).sin()); // [Almost zero]
print(ee.Array([-π / 2.0]).sin()); // [-1]
print(ee.Array([0]).sin()); // [0]
print(ee.Array([π / 2.0]).sin()); // [1]
print(ee.Array([π]).sin()); // [Almost zero]
var start = -π;
var end = π;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.sin();
// Plot sin() 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: 'sin(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
import math
import altair as alt
import pandas as pd
π = math.pi
display(ee.Array([-π]).sin()) # [Almost zero]
display(ee.Array([-π / 2.0]).sin()) # [-1]
display(ee.Array([0]).sin()) # [0]
display(ee.Array([π / 2.0]).sin()) # [1]
display(ee.Array([π]).sin()) # [Almost zero]
start = -π
end = π
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.sin()
df = pd.DataFrame({'x': points.getInfo(), 'sin(x)': values.getInfo()})
# Plot sin() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
y=alt.Y('sin(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."],[[["`Array.sin()` calculates the sine of each element within an input array, with the input values expected to be in radians."],["It returns a new array containing the calculated sine values for each corresponding element of the original array."],["This function is useful for mathematical computations and signal processing tasks on array data within the Earth Engine platform, demonstrated with examples in JavaScript and Python."]]],[]]