Page Summary
-
The
erfcInv()method computes the inverse complementary error function for each element of an input array. -
It takes an array as input and returns an array of the same shape containing the computed values.
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Examples are provided in both JavaScript and Python demonstrating how to use the
erfcInv()method and visualize its output.
| Usage | Returns |
|---|---|
Array.
erfcInv
()
|
Array |
| Argument | Type | Details |
|---|---|---|
|
this:
input
|
Array | The input array. |
Examples
Code Editor (JavaScript)
print ( ee . Array ([ 0.1 ]). erfcInv ()); // [1.163] print ( ee . Array ([ 1 ]). erfcInv ()); // [0] print ( ee . Array ([ 1.9 ]). erfcInv ()); // [-1.163] var start = 0.001 ; var end = 1.999 ; var points = ee . Array ( ee . List . sequence ( start , end , null , 50 )); var values = points . erfcInv (); // Plot erfcInv() defined above. var chart = ui . Chart . array . values ( values , 0 , points ) . setOptions ({ viewWindow : { min : start , max : end }, hAxis : { title : 'x' , viewWindowMode : 'maximized' , ticks : [ { v : 0 }, { v : 1 }, { v : 2 }] }, vAxis : { title : 'erfcInv(x)' , ticks : [ { v : - 3 }, { v : 0 }, { v : 3 }] }, 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 ([ 0.1 ]) . erfcInv ()) # [1.163] display ( ee . Array ([ 1 ]) . erfcInv ()) # [0] display ( ee . Array ([ 1.9 ]) . erfcInv ()) # [-1.163] start = 0.001 end = 1.999 points = ee . Array ( ee . List . sequence ( start , end , None , 50 )) values = points . erfcInv () df = pd . DataFrame ({ 'x' : points . getInfo (), 'erfcInv(x)' : values . getInfo ()}) # Plot erfcInv() defined above. alt . Chart ( df ) . mark_line () . encode ( x = alt . X ( 'x' , axis = alt . Axis ( values = [ 0 , 1 , 2 ])), y = alt . Y ( 'erfcInv(x)' , axis = alt . Axis ( values = [ - 3 , 0 , 3 ])) )
