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179 lines
6.4 KiB
Python
179 lines
6.4 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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BasicStatisticsNumbers.py
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---------------------
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Date : September 2012
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Copyright : (C) 2012 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__ = 'September 2012'
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__copyright__ = '(C) 2012, Victor Olaya'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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import math
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from PyQt4.QtCore import *
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from qgis.core import *
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from sextante.core.GeoAlgorithm import GeoAlgorithm
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from sextante.core.QGisLayers import QGisLayers
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from sextante.parameters.ParameterVector import ParameterVector
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from sextante.parameters.ParameterTableField import ParameterTableField
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from sextante.outputs.OutputHTML import OutputHTML
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from sextante.outputs.OutputNumber import OutputNumber
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from sextante.algs.ftools import FToolsUtils as utils
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class BasicStatisticsNumbers(GeoAlgorithm):
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INPUT_LAYER = "INPUT_LAYER"
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FIELD_NAME = "FIELD_NAME"
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OUTPUT_HTML_FILE = "OUTPUT_HTML_FILE"
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CV = "CV"
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MIN = "MIN"
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MAX = "MAX"
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SUM = "SUM"
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MEAN = "MEAN"
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COUNT = "COUNT"
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STD_DEV = "STD_DEV"
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RANGE = "RANGE"
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MEDIAN = "MEDIAN"
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UNIQUE = "UNIQUE"
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#===========================================================================
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# def getIcon(self):
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# return QtGui.QIcon(os.path.dirname(__file__) + "/icons/basic_statistics.png")
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#===========================================================================
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def defineCharacteristics(self):
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self.name = "Basic statistics for numeric fields"
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self.group = "Vector table tools"
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self.addParameter(ParameterVector(self.INPUT_LAYER, "Input vector layer", ParameterVector.VECTOR_TYPE_ANY, False))
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self.addParameter(ParameterTableField(self.FIELD_NAME, "Field to calculate statistics on",
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self.INPUT_LAYER, ParameterTableField.DATA_TYPE_NUMBER))
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self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, "Statistics for numeric field"))
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self.addOutput(OutputNumber(self.CV, "Coefficient of Variation"))
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self.addOutput(OutputNumber(self.MIN, "Minimum value"))
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self.addOutput(OutputNumber(self.MAX, "Maximum value"))
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self.addOutput(OutputNumber(self.SUM, "Sum"))
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self.addOutput(OutputNumber(self.MEAN, "Mean value"))
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self.addOutput(OutputNumber(self.COUNT, "Count"))
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self.addOutput(OutputNumber(self.RANGE, "Range"))
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self.addOutput(OutputNumber(self.MEDIAN, "Median"))
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self.addOutput(OutputNumber(self.UNIQUE, "Number of unique values"))
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self.addOutput(OutputNumber(self.STD_DEV, "Standard deviation"))
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def processAlgorithm(self, progress):
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layer = QGisLayers.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
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fieldName = self.getParameterValue(self.FIELD_NAME)
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outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
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index = layer.fieldNameIndex(fieldName)
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cvValue = 0
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minValue = 0
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maxValue = 0
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sumValue = 0
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meanValue = 0
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medianValue = 0
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stdDevValue = 0
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isFirst = True
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values = []
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features = QGisLayers.features(layer)
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count = len(features)
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total = 100.0 / float(count)
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current = 0
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for ft in features:
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value = float(ft.attributes()[index])
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if isFirst:
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minValue = value
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maxValue = value
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isFirst = False
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else:
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if value < minValue:
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minValue = value
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if value > maxValue:
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maxValue = value
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values.append( value )
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sumValue += value
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current += 1
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progress.setPercentage(int(current * total))
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# calculate additional values
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rValue = maxValue - minValue
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uniqueValue = utils.getUniqueValuesCount(layer, index)
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if count > 0:
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meanValue = sumValue / count
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if meanValue != 0.00:
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for v in values:
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stdDevValue += ((v - meanValue) * (v - meanValue))
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stdDevValue = math.sqrt(stdDevValue / count)
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cvValue = stdDevValue / meanValue
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if count > 1:
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tmp = values
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tmp.sort()
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# calculate median
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if (count % 2) == 0:
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medianValue = 0.5 * (tmp[(count - 1) / 2] + tmp[count / 2])
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else:
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medianValue = tmp[(count + 1) / 2 - 1]
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data = []
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data.append("Count: " + unicode(count))
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data.append("Unique values: " + unicode(uniqueValue))
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data.append("Minimum value: " + unicode(minValue))
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data.append("Maximum value: " + unicode(maxValue))
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data.append("Range: " + unicode(rValue))
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data.append("Sum: " + unicode(sumValue))
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data.append("Mean value: " + unicode(meanValue))
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data.append("Median value: " + unicode(medianValue))
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data.append("Standard deviation: " + unicode(stdDevValue))
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data.append("Coefficient of Variation: " + unicode(cvValue))
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self.createHTML(outputFile, data)
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self.setOutputValue(self.COUNT, count)
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self.setOutputValue(self.UNIQUE, uniqueValue)
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self.setOutputValue(self.MIN, minValue)
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self.setOutputValue(self.MAX, maxValue)
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self.setOutputValue(self.RANGE, rValue)
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self.setOutputValue(self.SUM, sumValue)
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self.setOutputValue(self.MEAN, meanValue)
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self.setOutputValue(self.MEDIAN, medianValue)
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self.setOutputValue(self.STD_DEV, stdDevValue)
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self.setOutputValue(self.CV, cvValue)
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def createHTML(self, outputFile, algData):
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f = open(outputFile, "w")
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for s in algData:
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f.write("<p>" + str(s) + "</p>")
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f.close()
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