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			124 lines
		
	
	
		
			5.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			124 lines
		
	
	
		
			5.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| 
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| """
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| ***************************************************************************
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|     RasterLayerStatistics.py
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|     ---------------------
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|     Date                 : January 2013
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|     Copyright            : (C) 2013 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__ = 'January 2013'
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| __copyright__ = '(C) 2013, 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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| import codecs
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| 
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| from qgis.core import (QgsRectangle,
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|                        QgsRasterBandStats,
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|                        QgsProcessingParameterRasterLayer,
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|                        QgsProcessingParameterBand,
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|                        QgsProcessingParameterFileDestination,
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|                        QgsProcessingOutputNumber)
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| from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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| 
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| 
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| class RasterLayerStatistics(QgisAlgorithm):
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| 
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|     INPUT = 'INPUT'
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|     BAND = 'BAND'
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|     OUTPUT_HTML_FILE = 'OUTPUT_HTML_FILE'
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| 
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|     MIN = 'MIN'
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|     MAX = 'MAX'
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|     RANGE = 'RANGE'
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|     SUM = 'SUM'
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|     MEAN = 'MEAN'
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|     STD_DEV = 'STD_DEV'
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|     SUM_OF_SQUARES = 'SUM_OF_SQUARES'
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| 
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|     def group(self):
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|         return self.tr('Raster analysis')
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| 
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|     def groupId(self):
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|         return 'rasteranalysis'
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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(QgsProcessingParameterRasterLayer(self.INPUT,
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|                                                             self.tr('Input layer')))
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|         self.addParameter(QgsProcessingParameterBand(self.BAND,
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|                                                      self.tr('Band number'),
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|                                                      1,
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|                                                      self.INPUT))
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|         self.addParameter(QgsProcessingParameterFileDestination(self.OUTPUT_HTML_FILE, self.tr('Statistics'), self.tr('HTML files (*.html)'), None, True))
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| 
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|         self.addOutput(QgsProcessingOutputNumber(self.MIN, self.tr('Minimum value')))
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|         self.addOutput(QgsProcessingOutputNumber(self.MAX, self.tr('Maximum value')))
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|         self.addOutput(QgsProcessingOutputNumber(self.RANGE, self.tr('Range')))
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|         self.addOutput(QgsProcessingOutputNumber(self.SUM, self.tr('Sum')))
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|         self.addOutput(QgsProcessingOutputNumber(self.MEAN, self.tr('Mean value')))
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|         self.addOutput(QgsProcessingOutputNumber(self.STD_DEV, self.tr('Standard deviation')))
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|         self.addOutput(QgsProcessingOutputNumber(self.SUM_OF_SQUARES, self.tr('Sum of the squares')))
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| 
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|     def name(self):
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|         return 'rasterlayerstatistics'
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| 
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|     def displayName(self):
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|         return self.tr('Raster layer statistics')
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| 
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|     def processAlgorithm(self, parameters, context, feedback):
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|         layer = self.parameterAsRasterLayer(parameters, self.INPUT, context)
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|         band = self.parameterAsInt(parameters, self.BAND, context)
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|         outputFile = self.parameterAsFileOutput(parameters, self.OUTPUT_HTML_FILE, context)
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| 
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|         stat = layer.dataProvider().bandStatistics(band, QgsRasterBandStats.All, QgsRectangle(), 0)
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| 
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|         data = []
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|         data.append(self.tr('Analyzed file: {} (band {})').format(layer.source(), band))
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|         data.append(self.tr('Minimum value: {}').format(stat.minimumValue))
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|         data.append(self.tr('Maximum value: {}').format(stat.maximumValue))
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|         data.append(self.tr('Range: {}').format(stat.range))
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|         data.append(self.tr('Sum: {}').format(stat.sum))
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|         data.append(self.tr('Mean value: {}').format(stat.mean))
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|         data.append(self.tr('Standard deviation: {}').format(stat.stdDev))
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|         data.append(self.tr('Sum of the squares: {}').format(stat.sumOfSquares))
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| 
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|         results = {self.MIN: stat.minimumValue,
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|                    self.MAX: stat.maximumValue,
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|                    self.RANGE: stat.range,
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|                    self.SUM: stat.sum,
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|                    self.MEAN: stat.mean,
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|                    self.STD_DEV: stat.stdDev,
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|                    self.SUM_OF_SQUARES: stat.sumOfSquares}
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| 
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|         if outputFile:
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|             self.createHTML(outputFile, data)
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|             results[self.OUTPUT_HTML_FILE] = outputFile
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| 
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|         return results
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| 
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|     def createHTML(self, outputFile, algData):
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|         with codecs.open(outputFile, 'w', encoding='utf-8') as f:
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|             f.write('<html><head>\n')
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|             f.write('<meta http-equiv="Content-Type" content="text/html; \
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|                     charset=utf-8" /></head><body>\n')
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|             for s in algData:
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|                 f.write('<p>' + str(s) + '</p>\n')
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|             f.write('</body></html>\n')
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