AI-generated Key Takeaways
-
The
exp()method computes Euler's number e raised to the power of each element in an input array. -
The
exp()method returns an Array. -
The input to the
exp()method must be an Array.
| Usage | Returns |
|---|---|
Array.
exp
()
|
Array |
| Argument | Type | Details |
|---|---|---|
|
this:
input
|
Array | The input array. |
Examples
Code Editor (JavaScript)
var empty = ee . Array ([], ee . PixelType . int8 ()); print ( empty . exp ()); // [] // [Math.pow(Math.E, -1), 1, Math.E, 7.389] print ( ee . Array ([ - 1 , 0 , 1 , 2 ]). exp ()); var start = - 5 ; var end = 2 ; var points = ee . Array ( ee . List . sequence ( start , end , null , 50 )); var values = points . exp (); // Plot exp() defined above. var chart = ui . Chart . array . values ( values , 0 , points ) . setOptions ({ viewWindow : { min : start , max : end }, hAxis : { title : 'x' , viewWindowMode : 'maximized' , }, vAxis : { title : 'exp(x)' , }, lineWidth : 1 , pointSize : 0 , }); print ( chart );
import ee import geemap.core as geemap
Colab (Python)
import altair as alt import pandas as pd empty = ee . Array ([], ee . PixelType . int8 ()) display ( empty . exp ()) # [] # [pow(math.e, -1), 1, math.e, 7.389] display ( ee . Array ([ - 1 , 0 , 1 , 2 ]) . exp ()) start = - 5 end = 2 points = ee . Array ( ee . List . sequence ( start , end , None , 50 )) values = points . exp () df = pd . DataFrame ({ 'x' : points . getInfo (), 'exp(x)' : values . getInfo ()}) # Plot exp() defined above. alt . Chart ( df ) . mark_line () . encode ( x = alt . X ( 'x' ), y = alt . Y ( 'exp(x)' ) )
