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			101 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			101 lines
		
	
	
		
			3.9 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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| import warnings
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| 
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| from qgis.core import (QgsProcessingParameterRasterLayer,
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|                        QgsProcessingParameterBand,
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|                        QgsProcessingParameterNumber,
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|                        QgsProcessingParameterFileDestination,
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|                        QgsProcessingException)
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| from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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| from processing.tools import raster
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| 
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| from qgis.PyQt.QtCore import QCoreApplication
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| 
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| 
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| class RasterLayerHistogram(QgisAlgorithm):
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| 
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|     INPUT = 'INPUT'
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|     BINS = 'BINS'
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|     OUTPUT = 'OUTPUT'
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|     BAND = 'BAND'
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| 
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|     def group(self):
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|         return self.tr('Plots')
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| 
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|     def groupId(self):
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|         return 'plots'
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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(QgsProcessingParameterNumber(self.BINS,
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|                                                        self.tr('number of bins'), minValue=2, defaultValue=10))
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| 
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|         self.addParameter(QgsProcessingParameterFileDestination(self.OUTPUT, self.tr('Histogram'), self.tr('HTML files (*.html)')))
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| 
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|     def name(self):
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|         return 'rasterlayerhistogram'
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| 
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|     def displayName(self):
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|         return self.tr('Raster layer histogram')
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| 
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|     def processAlgorithm(self, parameters, context, feedback):
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|         try:
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|             # importing plotly throws Python warnings from within the library - filter these out
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|             with warnings.catch_warnings():
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|                 warnings.filterwarnings("ignore", category=ResourceWarning)
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|                 warnings.filterwarnings("ignore", category=ImportWarning)
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|                 import plotly as plt
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|                 import plotly.graph_objs as go
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|         except ImportError:
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|             raise QgsProcessingException(QCoreApplication.translate('RasterLayerHistogram', 'This algorithm requires the Python “plotly” library. Please install this library and try again.'))
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| 
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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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|         nbins = self.parameterAsInt(parameters, self.BINS, context)
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| 
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|         output = self.parameterAsFileOutput(parameters, self.OUTPUT, context)
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| 
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|         # ALERT: this is potentially blocking if the layer is too big
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|         values = raster.scanraster(layer, feedback, band)
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| 
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|         valueslist = [
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|             v
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|             for v in values
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|             if v is not None
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|         ]
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|         data = [go.Histogram(x=valueslist,
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|                              nbinsx=nbins)]
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|         plt.offline.plot(data, filename=output, auto_open=False)
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| 
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|         return {self.OUTPUT: output}
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