ee.Array.mod

Secara per elemen, menghitung sisa dari nilai pertama yang dibagi dengan nilai kedua.

Penggunaan	Hasil
Array.mod(right)	Array

Argumen	Jenis	Detail
ini: left	Array	Nilai sebelah kiri.
right	Array	Nilai sebelah kanan.

Contoh

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);

Penyiapan Python

Lihat halaman Lingkungan Python untuk mengetahui informasi tentang Python API dan penggunaan geemap untuk pengembangan interaktif.

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]))
)