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refactor basic statistics tool
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alexbruy committed Oct 4, 2012
1 parent ad0ff93 commit 1a67b91c4ca6484747b783fc29da8cc8175cca4b

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import os.path
import math

from PyQt4 import QtGui
from PyQt4.QtCore import *

from qgis.core import *

from sextante.core.GeoAlgorithm import GeoAlgorithm
from sextante.core.QGisLayers import QGisLayers

from sextante.parameters.ParameterVector import ParameterVector
from sextante.parameters.ParameterTableField import ParameterTableField
from sextante.parameters.ParameterBoolean import ParameterBoolean

from sextante.outputs.OutputHTML import OutputHTML
from sextante.outputs.OutputNumber import OutputNumber

from sextante.ftools import FToolsUtils as utils

class BasicStatisticsNumbers(GeoAlgorithm):

INPUT_LAYER = "INPUT_LAYER"
FIELD_NAME = "FIELD_NAME"
USE_SELECTION = "USE_SELECTION"
OUTPUT_HTML_FILE = "OUTPUT_HTML_FILE"

CV = "CV"
MIN = "MIN"
MAX = "MAX"
SUM = "SUM"
MEAN = "MEAN"
COUNT = "COUNT"
RANGE = "RANGE"
MEDIAN = "MEDIAN"
UNIQUE = "UNIQUE"
STD_DEV = "STD_DEV"

def getIcon(self):
return QtGui.QIcon(os.path.dirname(__file__) + "/icons/basic_statistics.png")

def defineCharacteristics(self):
self.name = "Basic statistics for numeric fields"
self.group = "Analysis tools"

self.addParameter(ParameterVector(self.INPUT_LAYER, "Input vector layer", ParameterVector.VECTOR_TYPE_ANY, False))
self.addParameter(ParameterTableField(self.FIELD_NAME, "Field to calculate statistics on", self.INPUT_LAYER, ParameterTableField.DATA_TYPE_NUMBER))
self.addParameter(ParameterBoolean(self.USE_SELECTION, "Use selection", False))

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)
useSelection = self.getParameterValue(self.USE_SELECTION)

outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)

index = layer.fieldNameIndex(fieldName)
layer.select([index], QgsRectangle(), False)

count = 0
rValue = 0
cvValue = 0
minValue = 0
maxValue = 0
sumValue = 0
meanValue = 0
medianValue = 0
stdDevValue = 0
uniqueValue = 0

isFirst = True
values = []

if useSelection:
selection = layer.selectedFeatures()
count = layer.selectedFeatureCount()
total = 100.0 / float(count)
current = 0

for f in selection:
value = float(f.attributeMap()[index].toDouble()[0])

if isFirst:
minValue = value
maxValue = value
isFirst = False
else:
if value < minValue:
minValue = value
if value > maxValue:
maxValue = value

values.append(value)
sumValue += value

current += 1
progress.setPercentage(int(current * total))
else:
count = layer.featureCount()
total = 100.0 / float(count)
current = 0

ft = QgsFeature()
while layer.nextFeature(ft):
value = float(ft.attributeMap()[index].toDouble()[0])

if isFirst:
minValue = value
maxValue = value
isFirst = False
else:
if value < minValue:
minValue = value
if value > maxValue:
maxValue = value

values.append( value )
sumValue += value

current += 1
progress.setPercentage(int(current * total))

# calculate additional values
rValue = maxValue - minValue
uniqueValue = utils.getUniqueValuesCount(layer, index, useSelection)

if count > 0:
meanValue = sumValue / count
if meanValue != 0.00:
for v in values:
stdDevValue += ((v - meanValue) * (v - meanValue))
stdDevValue = math.sqrt(stdDevValue / count)
cvValue = stdDevValue / meanValue

if count > 1:
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]

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()
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