QGIS/python/plugins/sextante/algs/ftools/BasicStatisticsNumbers.py

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2012-10-04 19:33:47 +02:00
# -*- coding: utf-8 -*-
"""
***************************************************************************
BasicStatisticsNumbers.py
---------------------
Date : September 2012
Copyright : (C) 2012 by Victor Olaya
Email : volayaf at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Victor Olaya'
__date__ = 'September 2012'
__copyright__ = '(C) 2012, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__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
from sextante.core.QGisLayers import QGisLayers
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from sextante.parameters.ParameterVector import ParameterVector
from sextante.parameters.ParameterTableField import ParameterTableField
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from sextante.outputs.OutputHTML import OutputHTML
from sextante.outputs.OutputNumber import OutputNumber
from sextante.algs.ftools import FToolsUtils as utils
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class BasicStatisticsNumbers(GeoAlgorithm):
INPUT_LAYER = "INPUT_LAYER"
FIELD_NAME = "FIELD_NAME"
OUTPUT_HTML_FILE = "OUTPUT_HTML_FILE"
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CV = "CV"
MIN = "MIN"
MAX = "MAX"
SUM = "SUM"
MEAN = "MEAN"
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COUNT = "COUNT"
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STD_DEV = "STD_DEV"
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RANGE = "RANGE"
MEDIAN = "MEDIAN"
UNIQUE = "UNIQUE"
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#===========================================================================
# def getIcon(self):
# return QtGui.QIcon(os.path.dirname(__file__) + "/icons/basic_statistics.png")
#===========================================================================
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def defineCharacteristics(self):
self.name = "Basic statistics for numeric fields"
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"))
self.addOutput(OutputNumber(self.CV, "Coefficient of Variation"))
self.addOutput(OutputNumber(self.MIN, "Minimum value"))
self.addOutput(OutputNumber(self.MAX, "Maximum value"))
self.addOutput(OutputNumber(self.SUM, "Sum"))
self.addOutput(OutputNumber(self.MEAN, "Mean value"))
self.addOutput(OutputNumber(self.COUNT, "Count"))
self.addOutput(OutputNumber(self.RANGE, "Range"))
self.addOutput(OutputNumber(self.MEDIAN, "Median"))
self.addOutput(OutputNumber(self.UNIQUE, "Number of unique values"))
self.addOutput(OutputNumber(self.STD_DEV, "Standard deviation"))
def processAlgorithm(self, progress):
layer = QGisLayers.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
fieldName = self.getParameterValue(self.FIELD_NAME)
outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
index = layer.fieldNameIndex(fieldName)
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cvValue = 0
minValue = 0
maxValue = 0
sumValue = 0
meanValue = 0
medianValue = 0
stdDevValue = 0
isFirst = True
values = []
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features = QGisLayers.features(layer)
count = len(features)
total = 100.0 / float(count)
current = 0
for ft in features:
value = float(ft.attributes()[index].toDouble()[0])
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if isFirst:
minValue = value
maxValue = value
isFirst = False
else:
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 )
sumValue += value
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current += 1
progress.setPercentage(int(current * total))
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# calculate additional values
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
if meanValue != 0.00:
for v in values:
stdDevValue += ((v - meanValue) * (v - meanValue))
stdDevValue = math.sqrt(stdDevValue / count)
cvValue = stdDevValue / meanValue
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if count > 1:
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tmp = values
tmp.sort()
# calculate median
if (count % 2) == 0:
medianValue = 0.5 * (tmp[(count - 1) / 2] + tmp[count / 2])
else:
medianValue = tmp[(count + 1) / 2 - 1]
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data = []
data.append("Count: " + unicode(count))
data.append("Unique values: " + unicode(uniqueValue))
data.append("Minimum value: " + unicode(minValue))
data.append("Maximum value: " + unicode(maxValue))
data.append("Range: " + unicode(rValue))
data.append("Sum: " + unicode(sumValue))
data.append("Mean value: " + unicode(meanValue))
data.append("Median value: " + unicode(medianValue))
data.append("Standard deviation: " + unicode(stdDevValue))
data.append("Coefficient of Variation: " + unicode(cvValue))
self.createHTML(outputFile, data)
self.setOutputValue(self.COUNT, count)
self.setOutputValue(self.UNIQUE, uniqueValue)
self.setOutputValue(self.MIN, minValue)
self.setOutputValue(self.MAX, maxValue)
self.setOutputValue(self.RANGE, rValue)
self.setOutputValue(self.SUM, sumValue)
self.setOutputValue(self.MEAN, meanValue)
self.setOutputValue(self.MEDIAN, medianValue)
self.setOutputValue(self.STD_DEV, stdDevValue)
self.setOutputValue(self.CV, cvValue)
def createHTML(self, outputFile, algData):
f = open(outputFile, "w")
for s in algData:
f.write("<p>" + str(s) + "</p>")
f.close()