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			91 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			91 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| 
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| """
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| ***************************************************************************
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|     RasterLayerHistogram.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 matplotlib.pyplot as plt
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| import matplotlib.pylab as lab
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| 
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| from PyQt4.QtCore import QVariant
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| from qgis.core import QgsField
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| 
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| from processing.core.GeoAlgorithm import GeoAlgorithm
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| from processing.core.parameters import ParameterNumber
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| from processing.core.parameters import ParameterRaster
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| from processing.core.outputs import OutputTable
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| from processing.core.outputs import OutputHTML
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| from processing.tools import dataobjects
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| from processing.tools import raster
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| 
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| 
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| class RasterLayerHistogram(GeoAlgorithm):
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| 
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|     INPUT = 'INPUT'
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|     PLOT = 'PLOT'
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|     TABLE = 'TABLE'
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|     BINS = 'BINS'
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| 
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|     def defineCharacteristics(self):
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|         self.name, self.i18n_name = self.trAlgorithm('Raster layer histogram')
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|         self.group, self.i18n_group = self.trAlgorithm('Graphics')
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| 
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|         self.addParameter(ParameterRaster(self.INPUT,
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|                                           self.tr('Input layer')))
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|         self.addParameter(ParameterNumber(self.BINS,
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|                                           self.tr('Number of bins'), 2, None, 10))
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| 
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|         self.addOutput(OutputHTML(self.PLOT, self.tr('Histogram')))
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|         self.addOutput(OutputTable(self.TABLE, self.tr('Table')))
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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.INPUT))
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|         nbins = self.getParameterValue(self.BINS)
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| 
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|         outputplot = self.getOutputValue(self.PLOT)
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|         outputtable = self.getOutputFromName(self.TABLE)
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| 
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|         values = raster.scanraster(layer, progress)
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| 
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|         # ALERT: this is potentially blocking if the layer is too big
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|         plt.close()
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|         valueslist = []
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|         for v in values:
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|             if v is not None:
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|                 valueslist.append(v)
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|         (n, bins, values) = plt.hist(valueslist, nbins)
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| 
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|         fields = [QgsField('CENTER_VALUE', QVariant.Double),
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|                   QgsField('NUM_ELEM', QVariant.Double)]
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|         writer = outputtable.getTableWriter(fields)
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|         for i in xrange(len(values)):
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|             writer.addRecord([unicode(bins[i]) + '-' + unicode(bins[i + 1]), n[i]])
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| 
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|         plotFilename = outputplot + '.png'
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|         lab.savefig(plotFilename)
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|         f = open(outputplot, 'w')
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|         f.write('<html><img src="' + plotFilename + '"/></html>')
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|         f.close()
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