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	Prevent changes to files that weren't changed between releases. This eases review of the changes between releases significantly.
		
			
				
	
	
		
			120 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			120 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# -*- coding: utf-8 -*-
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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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__author__ = 'Victor Olaya'
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__date__ = 'January 2013'
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__copyright__ = '(C) 2013, Victor Olaya'
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import codecs
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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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class RasterLayerStatistics(QgisAlgorithm):
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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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    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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    def group(self):
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        return self.tr('Raster analysis')
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    def groupId(self):
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        return 'rasteranalysis'
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    def __init__(self):
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        super().__init__()
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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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        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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    def name(self):
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        return 'rasterlayerstatistics'
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    def displayName(self):
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        return self.tr('Raster layer statistics')
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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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        stat = layer.dataProvider().bandStatistics(band, QgsRasterBandStats.All, QgsRectangle(), 0)
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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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        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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        if outputFile:
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            self.createHTML(outputFile, data)
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            results[self.OUTPUT_HTML_FILE] = outputFile
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        return results
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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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