本文整理汇总了Python中qgis.core.QgsJsonExporter.exportFeatures方法的典型用法代码示例。如果您正苦于以下问题：Python QgsJsonExporter.exportFeatures方法的具体用法？Python QgsJsonExporter.exportFeatures怎么用？Python QgsJsonExporter.exportFeatures使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类qgis.core.QgsJsonExporter的用法示例。
在下文中一共展示了QgsJsonExporter.exportFeatures方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testExportFeaturesWithLocale_regression20053
# 需要导入模块: from qgis.core import QgsJsonExporter [as 别名]
# 或者: from qgis.core.QgsJsonExporter import exportFeatures [as 别名]
def testExportFeaturesWithLocale_regression20053(self):
""" Test exporting feature export with range widgets and locale different than C
Regression: https://issues.qgis.org/issues/20053 - decimal separator in csv files
"""
source = QgsVectorLayer("Point?field=name:string&field=cost:double&field=population:int&field=date:date",
"parent", "memory")
self.assertTrue(source.isValid())
fields = source.fields()
feature = QgsFeature(fields, 5)
feature.setGeometry(QgsGeometry(QgsPoint(5, 6)))
feature.setAttributes(['Valsier Peninsula', 6.8, 198000, '2018-09-10'])
exporter = QgsJsonExporter()
# single feature
expected = """{
"features": [
{
"geometry": {
"coordinates": [
5.0,
6.0
],
"type": "Point"
},
"id": 5,
"properties": {
"cost": 6.8,
"date": "2018-09-10",
"name": "Valsier Peninsula",
"population": 198000
},
"type": "Feature"
}
],
"type": "FeatureCollection"
}"""
self.assertEqual(exporter.exportFeatures([feature], 2), expected)
setup = QgsEditorWidgetSetup('Range', {
'AllowNull': True,
'Max': 2147483647,
'Min': -2147483648,
'Precision': 4,
'Step': 1,
'Style': 'SpinBox'
}
)
source.setEditorWidgetSetup(1, setup)
source.setEditorWidgetSetup(2, setup)
QLocale.setDefault(QLocale('it'))
exporter.setVectorLayer(source)
self.assertEqual(exporter.exportFeatures([feature], 2), expected)示例2: layer_geom
# 需要导入模块: from qgis.core import QgsJsonExporter [as 别名]
# 或者: from qgis.core.QgsJsonExporter import exportFeatures [as 别名]
def layer_geom(layer):
featureList = []
if layer.featureCount() > settings.PROJESTIONS_MAX_FEATURES:
# If too many features, randomly select some
import processing
processing.run('qgis:randomselection', {
'INPUT': layer,
'METHOD': 0,
'NUMBER': settings.PROJESTIONS_MAX_FEATURES,
}, feedback=QgsProcessingFeedback())
featureList = layer.selectedFeatures()
layer.removeSelection()
else:
# Else get all of the features
feature = QgsFeature()
iterator = layer.getFeatures()
while iterator.nextFeature(feature):
feature.setGeometry(feature.geometry().simplify(0.1))
featureList.append(feature)
feature = QgsFeature()
exporter = QgsJsonExporter(layer, 6)
exporter.setExcludedAttributes(layer.attributeList())
return exporter.exportFeatures(featureList)示例3: testExportFeatures
# 需要导入模块: from qgis.core import QgsJsonExporter [as 别名]
# 或者: from qgis.core.QgsJsonExporter import exportFeatures [as 别名]
def testExportFeatures(self):
""" Test exporting feature collections """
fields = QgsFields()
fields.append(QgsField("name", QVariant.String))
fields.append(QgsField("cost", QVariant.Double))
fields.append(QgsField("population", QVariant.Int))
feature = QgsFeature(fields, 5)
feature.setGeometry(QgsGeometry(QgsPoint(5, 6)))
feature.setAttributes(['Valsier Peninsula', 6.8, 198])
exporter = QgsJsonExporter()
# single feature
expected = """{ "type": "FeatureCollection",
"features":[
{
"type":"Feature",
"id":5,
"geometry":
{"type": "Point", "coordinates": [5, 6]},
"properties":{
"name":"Valsier Peninsula",
"cost":6.8,
"population":198
}
}
]}"""
self.assertEqual(exporter.exportFeatures([feature]), expected)
# multiple features
feature2 = QgsFeature(fields, 6)
feature2.setGeometry(QgsGeometry(QgsPoint(7, 8)))
feature2.setAttributes(['Henry Gale Island', 9.7, 38])
expected = """{ "type": "FeatureCollection",
"features":[
{
"type":"Feature",
"id":5,
"geometry":
{"type": "Point", "coordinates": [5, 6]},
"properties":{
"name":"Valsier Peninsula",
"cost":6.8,
"population":198
}
},
{
"type":"Feature",
"id":6,
"geometry":
{"type": "Point", "coordinates": [7, 8]},
"properties":{
"name":"Henry Gale Island",
"cost":9.7,
"population":38
}
}
]}"""
self.assertEqual(exporter.exportFeatures([feature, feature2]), expected)