本文整理汇总了Python中qgis.core.QgsProcessingParameterField.setFlags方法的典型用法代码示例。如果您正苦于以下问题：Python QgsProcessingParameterField.setFlags方法的具体用法？Python QgsProcessingParameterField.setFlags怎么用？Python QgsProcessingParameterField.setFlags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.QgsProcessingParameterField的用法示例。
在下文中一共展示了QgsProcessingParameterField.setFlags方法的4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: initAlgorithm
# 需要导入模块: from qgis.core import QgsProcessingParameterField [as 别名]
# 或者: from qgis.core.QgsProcessingParameterField import setFlags [as 别名]
def initAlgorithm(self, config=None):
self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
self.tr('Point layer'),
[QgsProcessing.TypeVectorPoint]))
z_field_param = QgsProcessingParameterField(self.Z_FIELD,
self.tr('Z value from field'),
None,
self.INPUT,
QgsProcessingParameterField.Numeric,
optional=True)
z_field_param.setFlags(z_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(z_field_param)
self.addParameter(QgsProcessingParameterNumber(self.RADIUS_1,
self.tr('The first radius of search ellipse'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0,
defaultValue=0.0))
self.addParameter(QgsProcessingParameterNumber(self.RADIUS_2,
self.tr('The second radius of search ellipse'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0,
defaultValue=0.0))
self.addParameter(QgsProcessingParameterNumber(self.ANGLE,
self.tr('Angle of search ellipse rotation in degrees (counter clockwise)'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0,
maxValue=360.0,
defaultValue=0.0))
self.addParameter(QgsProcessingParameterNumber(self.MIN_POINTS,
self.tr('Minimum number of data points to use'),
type=QgsProcessingParameterNumber.Integer,
minValue=0,
defaultValue=0))
self.addParameter(QgsProcessingParameterNumber(self.NODATA,
self.tr('NODATA marker to fill empty points'),
type=QgsProcessingParameterNumber.Double,
defaultValue=0.0))
options_param = QgsProcessingParameterString(self.OPTIONS,
self.tr('Additional creation parameters'),
defaultValue='',
optional=True)
options_param.setFlags(options_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
options_param.setMetadata({
'widget_wrapper': {
'class': 'processing.algs.gdal.ui.RasterOptionsWidget.RasterOptionsWidgetWrapper'}})
self.addParameter(options_param)
dataType_param = QgsProcessingParameterEnum(self.DATA_TYPE,
self.tr('Output data type'),
self.TYPES,
allowMultiple=False,
defaultValue=5)
dataType_param.setFlags(dataType_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(dataType_param)
self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT,
self.tr('Interpolated (moving average)')))示例2: initAlgorithm
# 需要导入模块: from qgis.core import QgsProcessingParameterField [as 别名]
# 或者: from qgis.core.QgsProcessingParameterField import setFlags [as 别名]
def initAlgorithm(self, config=None):
self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
self.tr('Point layer'),
[QgsProcessing.TypeVectorPoint]))
z_field_param = QgsProcessingParameterField(self.Z_FIELD,
self.tr('Z value from field'),
None,
self.INPUT,
QgsProcessingParameterField.Numeric,
optional=True)
z_field_param.setFlags(z_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(z_field_param)
self.addParameter(QgsProcessingParameterNumber(self.RADIUS,
self.tr('Search distance '),
type=QgsProcessingParameterNumber.Double,
minValue=-1.0,
defaultValue=-1.0))
self.addParameter(QgsProcessingParameterNumber(self.NODATA,
self.tr('NODATA marker to fill empty points'),
type=QgsProcessingParameterNumber.Double,
defaultValue=0.0))
options_param = QgsProcessingParameterString(self.OPTIONS,
self.tr('Additional creation options'),
defaultValue='',
optional=True)
options_param.setFlags(options_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
options_param.setMetadata({
'widget_wrapper': {
'class': 'processing.algs.gdal.ui.RasterOptionsWidget.RasterOptionsWidgetWrapper'}})
self.addParameter(options_param)
dataType_param = QgsProcessingParameterEnum(self.DATA_TYPE,
self.tr('Output data type'),
self.TYPES,
allowMultiple=False,
defaultValue=5)
dataType_param.setFlags(dataType_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(dataType_param)
self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT,
self.tr('Interpolated (Linear)')))示例3: initAlgorithm
# 需要导入模块: from qgis.core import QgsProcessingParameterField [as 别名]
# 或者: from qgis.core.QgsProcessingParameterField import setFlags [as 别名]
def initAlgorithm(self, config=None):
self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
self.tr('Point layer'),
[QgsProcessing.TypeVectorPoint]))
z_field_param = QgsProcessingParameterField(self.Z_FIELD,
self.tr('Z value from field'),
None,
self.INPUT,
QgsProcessingParameterField.Numeric,
optional=True)
z_field_param.setFlags(z_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(z_field_param)
self.addParameter(QgsProcessingParameterNumber(self.POWER,
self.tr('Weighting power'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0,
maxValue=100.0,
defaultValue=2.0))
self.addParameter(QgsProcessingParameterNumber(self.SMOOTHING,
self.tr('Smoothing'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0,
defaultValue=0.0))
self.addParameter(QgsProcessingParameterNumber(self.RADIUS,
self.tr('The radius of the search circle'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0,
defaultValue=1.0))
self.addParameter(QgsProcessingParameterNumber(self.MAX_POINTS,
self.tr('Maximum number of data points to use'),
type=QgsProcessingParameterNumber.Integer,
minValue=0,
defaultValue=12))
self.addParameter(QgsProcessingParameterNumber(self.MIN_POINTS,
self.tr('Minimum number of data points to use'),
type=QgsProcessingParameterNumber.Integer,
minValue=0,
defaultValue=0))
self.addParameter(QgsProcessingParameterNumber(self.NODATA,
self.tr('NODATA marker to fill empty points'),
type=QgsProcessingParameterNumber.Double,
defaultValue=0.0))
options_param = QgsProcessingParameterString(self.OPTIONS,
self.tr('Additional creation options'),
defaultValue='',
optional=True)
options_param.setFlags(options_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
options_param.setMetadata({
'widget_wrapper': {
'class': 'processing.algs.gdal.ui.RasterOptionsWidget.RasterOptionsWidgetWrapper'}})
self.addParameter(options_param)
dataType_param = QgsProcessingParameterEnum(self.DATA_TYPE,
self.tr('Output data type'),
self.TYPES,
allowMultiple=False,
defaultValue=5)
dataType_param.setFlags(dataType_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(dataType_param)
self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT,
self.tr('Interpolated (IDW with NN search)')))示例4: initAlgorithm
# 需要导入模块: from qgis.core import QgsProcessingParameterField [as 别名]
# 或者: from qgis.core.QgsProcessingParameterField import setFlags [as 别名]
def initAlgorithm(self, config=None):
self.KERNELS = OrderedDict([(self.tr('Quartic'), QgsKernelDensityEstimation.KernelQuartic),
(self.tr('Triangular'), QgsKernelDensityEstimation.KernelTriangular),
(self.tr('Uniform'), QgsKernelDensityEstimation.KernelUniform),
(self.tr('Triweight'), QgsKernelDensityEstimation.KernelTriweight),
(self.tr('Epanechnikov'), QgsKernelDensityEstimation.KernelEpanechnikov)])
self.OUTPUT_VALUES = OrderedDict([(self.tr('Raw'), QgsKernelDensityEstimation.OutputRaw),
(self.tr('Scaled'), QgsKernelDensityEstimation.OutputScaled)])
self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
self.tr('Point layer'),
[QgsProcessing.TypeVectorPoint]))
self.addParameter(QgsProcessingParameterDistance(self.RADIUS,
self.tr('Radius'),
100.0, self.INPUT, False, 0.0))
radius_field_param = QgsProcessingParameterField(self.RADIUS_FIELD,
self.tr('Radius from field'),
None,
self.INPUT,
QgsProcessingParameterField.Numeric,
optional=True
)
radius_field_param.setFlags(radius_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(radius_field_param)
class ParameterHeatmapPixelSize(QgsProcessingParameterNumber):
def __init__(self, name='', description='', parent_layer=None, radius_param=None, radius_field_param=None, minValue=None,
default=None, optional=False):
QgsProcessingParameterNumber.__init__(self, name, description, QgsProcessingParameterNumber.Double, default, optional, minValue)
self.parent_layer = parent_layer
self.radius_param = radius_param
self.radius_field_param = radius_field_param
def clone(self):
copy = ParameterHeatmapPixelSize(self.name(), self.description(), self.parent_layer, self.radius_param, self.radius_field_param, self.minimum(), self.maximum(), self.defaultValue((), self.flags() & QgsProcessingParameterDefinition.FlagOptional))
return copy
pixel_size_param = ParameterHeatmapPixelSize(self.PIXEL_SIZE,
self.tr('Output raster size'),
parent_layer=self.INPUT,
radius_param=self.RADIUS,
radius_field_param=self.RADIUS_FIELD,
minValue=0.0,
default=0.1)
pixel_size_param.setMetadata({
'widget_wrapper': {
'class': 'processing.algs.qgis.ui.HeatmapWidgets.HeatmapPixelSizeWidgetWrapper'}})
self.addParameter(pixel_size_param)
weight_field_param = QgsProcessingParameterField(self.WEIGHT_FIELD,
self.tr('Weight from field'),
None,
self.INPUT,
QgsProcessingParameterField.Numeric,
optional=True
)
weight_field_param.setFlags(weight_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(weight_field_param)
keys = list(self.KERNELS.keys())
kernel_shape_param = QgsProcessingParameterEnum(self.KERNEL,
self.tr('Kernel shape'),
keys,
allowMultiple=False,
defaultValue=0)
kernel_shape_param.setFlags(kernel_shape_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(kernel_shape_param)
decay_ratio = QgsProcessingParameterNumber(self.DECAY,
self.tr('Decay ratio (Triangular kernels only)'),
QgsProcessingParameterNumber.Double,
0.0, True, -100.0, 100.0)
decay_ratio.setFlags(decay_ratio.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(decay_ratio)
keys = list(self.OUTPUT_VALUES.keys())
output_scaling = QgsProcessingParameterEnum(self.OUTPUT_VALUE,
self.tr('Output value scaling'),
keys,
allowMultiple=False,
defaultValue=0)
output_scaling.setFlags(output_scaling.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(output_scaling)
self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT, self.tr('Heatmap')))