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			86 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			86 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| 
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| """
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| ***************************************************************************
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|     MeanAndStdDevPlot.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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| import numpy as np
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| from PyQt4.QtCore import *
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| from qgis.core import *
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| 
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| from processing.core.GeoAlgorithm import GeoAlgorithm
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| from processing.core.parameters import ParameterTable
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| from processing.core.parameters import ParameterTableField
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| from processing.core.outputs import OutputHTML
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| from processing.tools import *
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| 
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| 
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| class MeanAndStdDevPlot(GeoAlgorithm):
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| 
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|     INPUT = 'INPUT'
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|     OUTPUT = 'OUTPUT'
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|     NAME_FIELD = 'NAME_FIELD'
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|     MEAN_FIELD = 'MEAN_FIELD'
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|     STDDEV_FIELD = 'STDDEV_FIELD'
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| 
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|     def processAlgorithm(self, progress):
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|         uri = self.getParameterValue(self.INPUT)
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|         layer = dataobjects.getObjectFromUri(uri)
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|         namefieldname = self.getParameterValue(self.NAME_FIELD)
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|         meanfieldname = self.getParameterValue(self.MEAN_FIELD)
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|         stddevfieldname = self.getParameterValue(self.STDDEV_FIELD)
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|         output = self.getOutputValue(self.OUTPUT)
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|         values = vector.getAttributeValues(layer, namefieldname,
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|                 meanfieldname, stddevfieldname)
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|         plt.close()
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| 
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|         ind = np.arange(len(values[namefieldname]))
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|         width = 0.8
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|         plt.bar(ind, values[meanfieldname], width, color='r',
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|                 yerr=values[stddevfieldname],
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|                 error_kw=dict(ecolor='yellow'),
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|                )
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| 
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|         plt.xticks(ind, values[namefieldname], rotation=45)
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|         plotFilename = output + '.png'
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|         lab.savefig(plotFilename)
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|         f = open(output, 'w')
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|         f.write('<img src="' + plotFilename + '"/>')
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|         f.close()
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| 
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|     def defineCharacteristics(self):
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|         self.name = 'Mean and standard deviation plot'
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|         self.group = 'Graphics'
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|         self.addParameter(ParameterTable(self.INPUT, 'Input table'))
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|         self.addParameter(ParameterTableField(self.NAME_FIELD,
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|                           'Category name field', self.INPUT,
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|                           ParameterTableField.DATA_TYPE_ANY))
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|         self.addParameter(ParameterTableField(self.MEAN_FIELD, 'Mean field',
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|                           self.INPUT))
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|         self.addParameter(ParameterTableField(self.STDDEV_FIELD, 'StdDev field'
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|                           , self.INPUT))
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|         self.addOutput(OutputHTML(self.OUTPUT, 'Output'))
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