ee.Array.cosh

  • Computes the hyperbolic cosine of the input on an element-by-element basis.

  • Accepts an Array as input and returns an Array of the same dimensions.

  • Provides examples using JavaScript, Python, and Colab.

  • Illustrated with a plot of the hyperbolic cosine function over a range of values.

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

UsageReturns
Array.cosh()Array
ArgumentTypeDetails
this: inputArrayThe input array.

Examples

Code Editor (JavaScript)

print(ee.Array([-4]).cosh());  // [~27.31]
print(ee.Array([0]).cosh());  // [1]
print(ee.Array([4]).cosh());  // [~27.31]

var start = -4;
var end = 4;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.cosh();

// Plot cosh() 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},
          {v: 0},
          {v: end}]
      },
      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 altair as alt
import pandas as pd

display(ee.Array([-4]).cosh())  # [~27.31]
display(ee.Array([0]).cosh())  # [1]
display(ee.Array([4]).cosh())  # [~27.31]

start = -4
end = 4
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.cosh()

df = pd.DataFrame({'x': points.getInfo(), 'cosh(x)': values.getInfo()})

# Plot cosh() defined above.
alt.Chart(df).mark_line().encode(
    x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
    y=alt.Y('cosh(x)')
)