ee.FeatureCollection.makeArray

通过将每个功能的属性列表合并为一个一维数组，为集合中的每个功能添加一个一维数组。所有属性都必须是数值。如果某个特征不包含所有指定的属性，或者其中任何属性不是数值，则该特征将从结果集合中舍弃。

用法返回
FeatureCollection.makeArray(properties, name)FeatureCollection
参数类型详细信息
此：collectionFeatureCollection从中选择属性的输入集合。
properties列表要选择的属性。
name字符串，默认值：“array”新数组属性的名称。

示例

代码编辑器 (JavaScript)

// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
            .filter('country_lg == "Belgium"');

// A list of feature properties to combine into an array
// (power generation by year).
var properties = ['gwh_2013', 'gwh_2014', 'gwh_2015', 'gwh_2016'];

// Add array of power-generation-by-year property to features.
fc = fc.makeArray(properties, 'gwh_by_year');

print('FeatureCollection with array of selected properties added', fc);
print('See example of new "gwh_by_year" property', fc.first().toDictionary());

Python 设置

如需了解 Python API 和如何使用 geemap 进行交互式开发，请参阅 Python 环境页面。

import ee
import geemap.core as geemap

Colab (Python)

from pprint import pprint

# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
    'country_lg == "Belgium"')

# A list of feature properties to combine into an array
# (power generation by year).
properties = ['gwh_2013', 'gwh_2014', 'gwh_2015', 'gwh_2016']

# Add array of power-generation-by-year property to features.
fc = fc.makeArray(properties, 'gwh_by_year')

print('FeatureCollection with array of selected properties added:',
      fc.getInfo())
print('See example of new "gwh_by_year" property:')
pprint(fc.first().toDictionary().getInfo())