Page Summary
-
The
Array.cosh()method computes the hyperbolic cosine of each element in the input array. -
This method takes an array as input and returns an array.
| Usage | Returns |
|---|---|
Array.
cosh
()
|
Array |
| Argument | Type | Details |
|---|---|---|
|
this:
input
|
Array | The 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 );
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)' ) )
