ee.Array.cat

Concatenates multiple arrays into a single array along the given axis. Each array must have the same dimensionality and the same length on all axes except the concatenation axis.

Usage	Returns
ee.Array.cat(arrays, axis)	Array

Argument	Type	Details
arrays	List	Arrays to concatenate.
axis	Integer, default: 0	Axis to concatenate along.

Examples

Code Editor (JavaScript)

// Requires an explicit PixelType if no data.
var empty = ee.Array([], ee.PixelType.int8());  // Empty []
var one = ee.Array([1]);
var two = ee.Array([2]);

print(ee.Array.cat([empty]));  // []
print(ee.Array.cat([empty, empty]));  // []
print(ee.Array.cat([empty, one]));  // [1]
print(ee.Array.cat([one, empty]));  // [1]
print(ee.Array.cat([one, two]));  // [1, 2]

print(ee.Array.cat([one, two], 0));  // [1, 2]
print(ee.Array.cat([one, two], 1));  // [[1,2]]

var a = ee.Array([0, 1, 2]);
var b = ee.Array([3, 4, 5]);
print(ee.Array.cat([a, b]));  // [0,1,2,3,4,5]
print(ee.Array.cat([a, b], 0));  // [0,1,2,3,4,5]
print(ee.Array.cat([a, b], 1));  // [[0,3],[1,4],[2,5]]

var c = ee.Array([[0], [1], [2]]);
var d = ee.Array([[3], [4], [5]]);
print(ee.Array.cat([c, d]));  // [[0],[1],[2],[3],[4],[5]]
print(ee.Array.cat([c, d], 0));  // [[0],[1],[2],[3],[4],[5]]
print(ee.Array.cat([c, d], 1));  // [[0,3],[1,4],[2,5]]
print(ee.Array.cat([c, d], 2));  // [[[0,3]],[[1,4]],[[2,5]]]

var e = ee.Array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]]);
var f = ee.Array([[[10, 11], [12, 13]], [[14, 15], [16, 17]]]);

// [[[0,1],[2,3]]
//  [[4,5],[6,7]]
//  [[10,11],[12,13]]
//  [[14,15],[16,17]]
print(ee.Array.cat([e, f], 0));

// [[[0,1],[2,3],[10,11],[12,13]]
//  [[4,5],[6,7],[14,15],[16,17]]]
print(ee.Array.cat([e, f], 1));

// [[[0,1,10,11],[2,3,12,13]]
//  [[4,5,14,15],[6,7,16,17]]]
print(ee.Array.cat([e, f], 2));

// [[[[0,10],[1,11]],[[2,12],[3,13]]]
//  [[[4,14],[5,15]],[[6,16],[7,17]]]]
print(ee.Array.cat([e, f], 3));

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

# Requires an explicit PixelType if no data.
empty = ee.Array([], ee.PixelType.int8())  # []
one = ee.Array([1])
two = ee.Array([2])

display(ee.Array.cat([empty]))  # []
display(ee.Array.cat([empty, empty]))  # []
display(ee.Array.cat([empty, one]))  # [1]
display(ee.Array.cat([one, empty]))  # [1]
display(ee.Array.cat([one, two]))  # [1, 2]

display(ee.Array.cat([one, two], 0))  # [1, 2]
display(ee.Array.cat([one, two], 1))  # [[1, 2]]

a = ee.Array([0, 1, 2])
b = ee.Array([3, 4, 5])
display(ee.Array.cat([a, b]))  # [0, 1, 2, 3, 4, 5]
display(ee.Array.cat([a, b], 0))  # [0, 1, 2, 3, 4, 5]
display(ee.Array.cat([a, b], 1))  # [[0, 3], [1, 4], [2, 5]]

c = ee.Array([[0], [1], [2]])
d = ee.Array([[3], [4], [5]])
display(ee.Array.cat([c, d]))  # [[0], [1], [2], [3], [4], [5]]
display(ee.Array.cat([c, d], 0))  # [[0], [1], [2], [3], [4], [5]]
display(ee.Array.cat([c, d], 1))  # [[0, 3], [1, 4], [2, 5]]
display(ee.Array.cat([c, d], 2))  # [[[0, 3]], [[1, 4]], [[2, 5]]]

e = ee.Array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]])
f = ee.Array([[[10, 11], [12, 13]], [[14, 15], [16, 17]]])

# [[[0, 1], [2, 3]]
#  [[4, 5], [6, 7]]
#  [[10, 11], [12, 13]]
#  [[14, 15], [16, 17]]
display(ee.Array.cat([e, f], 0))

# [[[0, 1], [2, 3], [10, 11], [12, 13]]
#  [[4, 5], [6, 7], [14, 15], [16, 17]]]
display(ee.Array.cat([e, f], 1))

# [[[0, 1, 10, 11], [2, 3, 12, 13]]
#  [[4, 5, 14, 15], [6, 7, 16, 17]]]
display(ee.Array.cat([e, f], 2))

# [[[[0, 10], [1, 11]], [[2, 12], [3, 13]]]
#  [[[4, 14], [5, 15]], [[6, 16], [7, 17]]]]
display(ee.Array.cat([e, f], 3))