ee.Array.mod

Berechnet elementweise den Restwert der Division des ersten Werts durch den zweiten.

Nutzung	Ausgabe
Array.mod(right)	Array

Argument	Typ	Details
So gehts: left	Array	Der Wert auf der linken Seite.
right	Array	Der rechte Wert.

Beispiele

Code-Editor (JavaScript)

var empty = ee.Array([], ee.PixelType.int8());
print(empty.mod(empty));  // []

print(ee.Array([0, 0]).mod(ee.Array([-1, 2])));  // [0,0]
print(ee.Array([0, 1, 2, 3, 4]).mod(ee.Array([1, 1, 1, 1, 1])));  // [0,0,0,0,0]
print(ee.Array([0, 1, 2, 3, 4]).mod(ee.Array([2, 2, 2, 2, 2])));  // [0,1,0,1,0]
print(ee.Array([0, 1, 7, 8, 9]).mod(ee.Array([8, 8, 8, 8, 8])));  // [0,1,7,0,1]
print(ee.Array([-1, -7, -8, -9]).mod(ee.Array([8, 8, 8, 8])));  // [-1,-7,0,-1]

print(ee.Array([8, 8, 8, 8]).mod(ee.Array([-1, -7, -8, -9])));  // [0,1,0,8]

print(ee.Array([2.5]).mod(ee.Array([1.2])));  // [0.10000000000000009]

// Generate a square wave graph using mod.
var start = -10;
var end = 10;
var numElements = 1000;
var stepSize = 2;

var points = ee.Array(ee.List.sequence(start, end, null, numElements));
var modValues = ee.Array([stepSize]).repeat(0, numElements);
var values = points.mod(modValues).floor();

// Plot mod().floor() defined above.
// Generate a square wave that is different for negative and positive values.
var chart = ui.Chart.array.values(values, 0, points)
    .setOptions({
      viewWindow: {min: start, max: end},
      hAxis: {
        title: 'x',
        viewWindowMode: 'maximized'
      },
      vAxis: {
        title: 'mod().floor()',
        ticks: [{v: -3}, {v: -2}, {v: -1}, {v: 0}, {v: 1}, {v: 2}]
      },
      lineWidth: 1,
      pointSize: 0,
    });
print(chart);

Python einrichten

Informationen zur Python API und zur Verwendung von geemap für die interaktive Entwicklung finden Sie auf der Seite Python-Umgebung.

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.mod(empty))  # []

display(ee.Array([0, 0]).mod(ee.Array([-1, 2])))  # [0,0]

# [0,0,0,0,0]
display(ee.Array([0, 1, 2, 3, 4]).mod(ee.Array([1, 1, 1, 1, 1])))

# [0,1,0,1,0]
display(ee.Array([0, 1, 2, 3, 4]).mod(ee.Array([2, 2, 2, 2, 2])))

# [0,1,7,0,1]
display(ee.Array([0, 1, 7, 8, 9]).mod(ee.Array([8, 8, 8, 8, 8])))

# [-1,-7,0,-1]
display(ee.Array([-1, -7, -8, -9]).mod(ee.Array([8, 8, 8, 8])))

# [0,1,0,8]
display(ee.Array([8, 8, 8, 8]).mod(ee.Array([-1, -7, -8, -9])))

display(ee.Array([2.5]).mod(ee.Array([1.2])))  # [0.10000000000000009]

# Generate a square wave graph using mod.
start = -10
end = 10
num_elements = 1000
step_size = 2

points = ee.Array(ee.List.sequence(start, end, None, num_elements))
mod_values = ee.Array([step_size]).repeat(0, num_elements)
values = points.mod(mod_values).floor()

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

# Plot mod().floor() defined above.
# Generate a square wave that is different for negative and positive values.
alt.Chart(df).mark_line().encode(
    x=alt.X('x'),
    y=alt.Y('mod()', axis=alt.Axis(values=[-3, -2, -1, 0, 1, 2]))
)