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			128 lines
		
	
	
		
			4.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			128 lines
		
	
	
		
			4.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| 
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| """
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| ***************************************************************************
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|     MeanCoords.py
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|     ---------------------
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|     Date                 : August 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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| 
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| __author__ = 'Victor Olaya'
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| __date__ = 'August 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 PyQt4.QtCore import *
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| from qgis.core import *
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| from processing.core.GeoAlgorithm import GeoAlgorithm
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| from processing.core.parameters import ParameterTableField
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| from processing.core.parameters import ParameterVector
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| from processing.core.outputs import OutputVector
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| from processing.tools import dataobjects, vector
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| 
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| 
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| class MeanCoords(GeoAlgorithm):
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| 
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|     POINTS = 'POINTS'
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|     WEIGHT = 'WEIGHT'
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|     OUTPUT = 'OUTPUT'
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|     UID = 'UID'
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|     WEIGHT = 'WEIGHT'
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| 
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|     def defineCharacteristics(self):
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|         self.name = 'Mean coordinate(s)'
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|         self.group = 'Vector analysis tools'
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| 
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|         self.addParameter(ParameterVector(self.POINTS, 'Input layer',
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|                           [ParameterVector.VECTOR_TYPE_ANY]))
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|         self.addParameter(ParameterTableField(self.WEIGHT, 'Weight field',
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|                           MeanCoords.POINTS,
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|                           ParameterTableField.DATA_TYPE_NUMBER,
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|                           optional=True))
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|         self.addParameter(ParameterTableField(self.UID, 'Unique ID field',
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|                           MeanCoords.POINTS,
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|                           ParameterTableField.DATA_TYPE_NUMBER,
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|                           optional=True))
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| 
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|         self.addOutput(OutputVector(MeanCoords.OUTPUT, 'Result'))
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| 
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|     def processAlgorithm(self, progress):
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|         layer = dataobjects.getObjectFromUri(
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|                 self.getParameterValue(self.POINTS))
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|         weightField = self.getParameterValue(self.WEIGHT)
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|         uniqueField = self.getParameterValue(self.UID)
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| 
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|         if weightField is None:
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|             weightIndex = -1
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|         else:
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|             weightIndex = layer.fieldNameIndex(weightField)
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| 
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|         if uniqueField is None:
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|             uniqueIndex = -1
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|         else:
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|             uniqueIndex = layer.fieldNameIndex(uniqueField)
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| 
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|         fieldList = [QgsField('MEAN_X', QVariant.Double, '', 24, 15),
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|                      QgsField('MEAN_Y', QVariant.Double, '', 24, 15),
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|                      QgsField('UID', QVariant.String, '', 255)]
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| 
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|         writer = self.getOutputFromName(
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|                 self.OUTPUT).getVectorWriter(fieldList,
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|                                              QGis.WKBPoint, layer.crs())
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| 
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|         current = 0
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|         features = vector.features(layer)
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|         total = 100.0 / float(len(features))
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| 
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|         means = {}
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|         for feat in features:
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|             current += 1
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|             progress.setPercentage(current * total)
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|             if uniqueIndex == -1:
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|                 clazz = "Single class"
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|             else:
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|                 clazz = str(feat.attributes()[uniqueIndex]).strip()
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|             if weightIndex == -1:
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|                 weight = 1.00
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|             else:
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|                 try:
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|                     weight = float(feat.attributes()[weightIndex])
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|                 except:
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|                     weight = 1.00
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|             if clazz not in means:
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|                 means[clazz] = (0, 0, 0)
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| 
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|             (cx, cy, totalweight) = means[clazz]
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|             geom = QgsGeometry(feat.geometry())
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|             geom = vector.extractPoints(geom)
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|             for i in geom:
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|                 cx += i.x() * weight
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|                 cy += i.y() * weight
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|                 totalweight += weight
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|             means[clazz] = (cx, cy, totalweight)
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| 
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|         for (clazz, values) in means.iteritems():
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|             outFeat = QgsFeature()
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|             cx = values[0] / values[2]
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|             cy = values[1] / values[2]
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|             meanPoint = QgsPoint(cx, cy)
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| 
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|             outFeat.setGeometry(QgsGeometry.fromPoint(meanPoint))
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|             outFeat.setAttributes([cx, cy, clazz])
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|             writer.addFeature(outFeat)
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| 
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|         del writer
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