QGIS/python/plugins/processing/algs/qgis/RandomExtractWithinSubsets.py

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# -*- coding: utf-8 -*-
"""
***************************************************************************
RandomSelectionWithinSubsets.py
---------------------
Date : August 2012
Copyright : (C) 2012 by Victor Olaya
Email : volayaf at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
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from builtins import range
__author__ = 'Victor Olaya'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import random
from qgis.core import (QgsApplication,
QgsProcessingUtils)
from collections import defaultdict
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
from processing.core.parameters import ParameterSelection
from processing.core.parameters import ParameterVector
from processing.core.parameters import ParameterNumber
from processing.core.parameters import ParameterTableField
from processing.core.outputs import OutputVector
class RandomExtractWithinSubsets(QgisAlgorithm):
INPUT = 'INPUT'
METHOD = 'METHOD'
NUMBER = 'NUMBER'
FIELD = 'FIELD'
OUTPUT = 'OUTPUT'
def icon(self):
return QgsApplication.getThemeIcon("/providerQgis.svg")
def svgIconPath(self):
return QgsApplication.iconPath("providerQgis.svg")
def group(self):
return self.tr('Vector selection tools')
def __init__(self):
super().__init__()
self.methods = [self.tr('Number of selected features'),
self.tr('Percentage of selected features')]
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self.addParameter(ParameterVector(self.INPUT,
self.tr('Input layer')))
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self.addParameter(ParameterTableField(self.FIELD,
self.tr('ID field'), self.INPUT))
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self.addParameter(ParameterSelection(self.METHOD,
self.tr('Method'), self.methods, 0))
self.addParameter(ParameterNumber(self.NUMBER,
self.tr('Number/percentage of selected features'), 1, None, 10))
self.addOutput(OutputVector(self.OUTPUT, self.tr('Extracted (random stratified)')))
def name(self):
return 'randomextractwithinsubsets'
def displayName(self):
return self.tr('Random extract within subsets')
def processAlgorithm(self, parameters, context, feedback):
filename = self.getParameterValue(self.INPUT)
layer = QgsProcessingUtils.mapLayerFromString(filename, context)
field = self.getParameterValue(self.FIELD)
method = self.getParameterValue(self.METHOD)
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index = layer.fields().lookupField(field)
features = QgsProcessingUtils.getFeatures(layer, context)
featureCount = QgsProcessingUtils.featureCount(layer, context)
unique = QgsProcessingUtils.uniqueValues(layer, index, context)
value = int(self.getParameterValue(self.NUMBER))
if method == 0:
if value > featureCount:
raise GeoAlgorithmExecutionException(
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self.tr('Selected number is greater that feature count. '
'Choose lesser value and try again.'))
else:
if value > 100:
raise GeoAlgorithmExecutionException(
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self.tr("Percentage can't be greater than 100. Set "
"correct value and try again."))
value = value / 100.0
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(layer.fields(), layer.wkbType(),
layer.crs(), context)
selran = []
total = 100.0 / (featureCount * len(unique))
features = QgsProcessingUtils.getFeatures(layer, context)
classes = defaultdict(list)
for i, feature in enumerate(features):
attrs = feature.attributes()
classes[attrs[index]].append(feature)
feedback.setProgress(int(i * total))
for subset in classes.values():
selValue = value if method != 1 else int(round(value * len(subset), 0))
selran.extend(random.sample(subset, selValue))
features = QgsProcessingUtils.getFeatures(layer, context)
total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
for (i, feat) in enumerate(selran):
writer.addFeature(feat)
feedback.setProgress(int(i * total))
del writer