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			124 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			124 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| 
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| """
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| ***************************************************************************
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|     StatisticsByCategories.py
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|     ---------------------
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|     Date                 : September 2012
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|     Copyright            : (C) 2012 by Victor Olaya
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|     Email                : volayaf at gmail dot com
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| ***************************************************************************
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| *                                                                         *
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| *   This program is free software; you can redistribute it and/or modify  *
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| *   it under the terms of the GNU General Public License as published by  *
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| *   the Free Software Foundation; either version 2 of the License, or     *
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| *   (at your option) any later version.                                   *
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| *                                                                         *
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| ***************************************************************************
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| """
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| from builtins import str
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| 
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| __author__ = 'Victor Olaya'
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| __date__ = 'September 2012'
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| __copyright__ = '(C) 2012, Victor Olaya'
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| 
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| # This will get replaced with a git SHA1 when you do a git archive
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| 
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| __revision__ = '$Format:%H$'
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| 
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| from qgis.core import (QgsProcessingParameterFeatureSource,
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|                        QgsStatisticalSummary,
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|                        QgsFeatureRequest,
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|                        QgsProcessingParameterField,
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|                        QgsProcessingParameterFeatureSink,
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|                        QgsFields,
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|                        QgsField,
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|                        QgsWkbTypes,
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|                        QgsCoordinateReferenceSystem,
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|                        QgsFeature,
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|                        QgsFeatureSink)
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| from qgis.PyQt.QtCore import QVariant
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| from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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| 
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| 
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| class StatisticsByCategories(QgisAlgorithm):
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| 
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|     INPUT = 'INPUT'
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|     VALUES_FIELD_NAME = 'VALUES_FIELD_NAME'
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|     CATEGORIES_FIELD_NAME = 'CATEGORIES_FIELD_NAME'
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|     OUTPUT = 'OUTPUT'
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| 
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|     def group(self):
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|         return self.tr('Vector table tools')
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| 
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|     def __init__(self):
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|         super().__init__()
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| 
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|     def initAlgorithm(self, config=None):
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|         self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
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|                                                               self.tr('Input vector layer')))
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|         self.addParameter(QgsProcessingParameterField(self.VALUES_FIELD_NAME,
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|                                                       self.tr('Field to calculate statistics on'),
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|                                                       parentLayerParameterName=self.INPUT, type=QgsProcessingParameterField.Numeric))
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|         self.addParameter(QgsProcessingParameterField(self.CATEGORIES_FIELD_NAME,
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|                                                       self.tr('Field with categories'),
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|                                                       parentLayerParameterName=self.INPUT, type=QgsProcessingParameterField.Any))
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| 
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|         self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, self.tr('Statistics by category')))
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| 
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|     def name(self):
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|         return 'statisticsbycategories'
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| 
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|     def displayName(self):
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|         return self.tr('Statistics by categories')
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| 
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|     def processAlgorithm(self, parameters, context, feedback):
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|         source = self.parameterAsSource(parameters, self.INPUT, context)
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|         value_field_name = self.parameterAsString(parameters, self.VALUES_FIELD_NAME, context)
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|         category_field_name = self.parameterAsString(parameters, self.CATEGORIES_FIELD_NAME, context)
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| 
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|         value_field_index = source.fields().lookupField(value_field_name)
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|         category_field_index = source.fields().lookupField(category_field_name)
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| 
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|         features = source.getFeatures(QgsFeatureRequest().setFlags(QgsFeatureRequest.NoGeometry))
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|         total = 100.0 / source.featureCount() if source.featureCount() else 0
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|         values = {}
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|         for current, feat in enumerate(features):
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|             if feedback.isCanceled():
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|                 break
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| 
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|             feedback.setProgress(int(current * total))
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|             attrs = feat.attributes()
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|             try:
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|                 value = float(attrs[value_field_index])
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|                 cat = attrs[category_field_index]
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|                 if cat not in values:
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|                     values[cat] = []
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|                 values[cat].append(value)
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|             except:
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|                 pass
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| 
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|         fields = QgsFields()
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|         fields.append(source.fields().at(category_field_index))
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|         fields.append(QgsField('min', QVariant.Double))
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|         fields.append(QgsField('max', QVariant.Double))
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|         fields.append(QgsField('mean', QVariant.Double))
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|         fields.append(QgsField('stddev', QVariant.Double))
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|         fields.append(QgsField('sum', QVariant.Double))
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|         fields.append(QgsField('count', QVariant.Int))
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| 
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|         (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
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|                                                fields, QgsWkbTypes.NoGeometry, QgsCoordinateReferenceSystem())
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| 
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|         stat = QgsStatisticalSummary(QgsStatisticalSummary.Min | QgsStatisticalSummary.Max |
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|                                      QgsStatisticalSummary.Mean | QgsStatisticalSummary.StDevSample |
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|                                      QgsStatisticalSummary.Sum | QgsStatisticalSummary.Count)
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| 
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|         for (cat, v) in list(values.items()):
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|             stat.calculate(v)
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|             f = QgsFeature()
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|             f.setAttributes([cat, stat.min(), stat.max(), stat.mean(), stat.sampleStDev(), stat.sum(), stat.count()])
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|             sink.addFeature(f, QgsFeatureSink.FastInsert)
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| 
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|         return {self.OUTPUT: dest_id}
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