ee.Array.cos

  • Array.cos() computes the cosine of each element in an input array, assuming the input is in radians.

  • This operation returns an array containing the cosine values.

  • The input to Array.cos() must be an array.

 On an element-wise basis, computes the cosine of the input in radians.

UsageReturns
Array.cos()Array
ArgumentTypeDetails
this: inputArrayThe 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]))
)