ee.Array.sin

AI-generated Key Takeaways

• The Array.sin() method computes the sine of each element in an input array, expecting the input values to be in radians.

• This operation returns an array containing the sine of the corresponding input elements.

• The input to the Array.sin() method must be an array.

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

Code Editor (JavaScript)

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

Colab (Python)

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]))
)