ee.Array.sinh

  • Calculates the hyperbolic sine of each element in an input array.

  • Returns a new array with the calculated hyperbolic sine values.

  • Usable in both JavaScript and Python environments within the Earth Engine ecosystem.

  • Examples showcase its application and visualization through charting libraries.

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

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

Examples

Code Editor (JavaScript)

print(ee.Array([-5]).sinh());  // [~ -74.20]
print(ee.Array([0]).sinh());  // [0]
print(ee.Array([5]).sinh());  // [~ 74.20]

var start = -5;
var end = 5;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.sinh();

// Plot sinh() 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([-5]).sinh())  # [~ -74.20]
display(ee.Array([0]).sinh())  # [0]
display(ee.Array([5]).sinh())  # [~ 74.20]

start = -5
end = 5
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.sinh()

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

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