QGIS/python/plugins/sextante/algs/StatisticsByCategories.py

116 lines
4.5 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
StatisticsByCategories.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__ = '$Format:%H$'
import math
from PyQt4.QtCore import *
from qgis.core import *
from sextante.outputs.OutputTable import OutputTable
from sextante.core.GeoAlgorithm import GeoAlgorithm
from sextante.core.QGisLayers import QGisLayers
from sextante.parameters.ParameterVector import ParameterVector
from sextante.parameters.ParameterTableField import ParameterTableField
class StatisticsByCategories(GeoAlgorithm):
INPUT_LAYER = "INPUT_LAYER"
VALUES_FIELD_NAME = "VALUES_FIELD_NAME"
CATEGORIES_FIELD_NAME = "CATEGORIES_FIELD_NAME"
OUTPUT = "OUTPUT"
def defineCharacteristics(self):
self.name = "Statistics by categories"
self.group = "Vector table tools"
self.addParameter(ParameterVector(self.INPUT_LAYER, "Input vector layer", ParameterVector.VECTOR_TYPE_ANY, False))
self.addParameter(ParameterTableField(self.VALUES_FIELD_NAME, "Field to calculate statistics on",
self.INPUT_LAYER, ParameterTableField.DATA_TYPE_NUMBER))
self.addParameter(ParameterTableField(self.CATEGORIES_FIELD_NAME, "Field with categories",
self.INPUT_LAYER, ParameterTableField.DATA_TYPE_ANY))
self.addOutput(OutputTable(self.OUTPUT, "Statistics"))
def processAlgorithm(self, progress):
layer = QGisLayers.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
valuesFieldName = self.getParameterValue(self.VALUES_FIELD_NAME)
categoriesFieldName = self.getParameterValue(self.CATEGORIES_FIELD_NAME)
output = self.getOutputFromName(self.OUTPUT)
valuesField = layer.fieldNameIndex(valuesFieldName)
categoriesField = layer.fieldNameIndex(categoriesFieldName)
features = QGisLayers.features(layer)
nFeats = len(features)
values = {}
nFeat = 0
for feat in features:
nFeat += 1
progress.setPercentage(int((100 * nFeats) / nFeat))
attrs = feat.attributes()
try:
value = float(attrs[valuesField].toDouble()[0])
cat = unicode(attrs[categoriesField].toString())
if cat not in values:
values[cat] = []
values[cat].append(value)
except:
pass
fields = [QgsField("category", QVariant.String), QgsField("min", QVariant.Double),
QgsField("max", QVariant.Double), QgsField("mean", QVariant.Double),
QgsField("stddev", QVariant.Double)]
writer = output.getTableWriter(fields)
for cat, v in values.items():
min, max, mean, stddev = calculateStats(v)
record = [cat, min, max, mean, stddev]
writer.addRecord(record)
def calculateStats(values):
n = 0
sum = 0
mean = 0
M2 = 0
minvalue = None
maxvalue = None
for v in values:
sum += v
n = n + 1
delta = v - mean
mean = mean + delta/n
M2 = M2 + delta*(v - mean)
if minvalue is None:
minvalue = v
maxvalue = v
else:
minvalue = min(v, minvalue)
maxvalue = max(v, maxvalue)
if n > 1:
variance = M2/(n - 1)
else:
variance = 0;
stddev = math.sqrt(variance)
return minvalue,maxvalue, mean, stddev