2014-10-03 15:47:44 +03:00

128 lines
4.5 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
MeanCoords.py
---------------------
Date : August 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__ = 'August 2012'
__copyright__ = '(C) 2012, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from PyQt4.QtCore import *
from qgis.core import *
from processing.core.GeoAlgorithm import GeoAlgorithm
from processing.core.parameters import ParameterTableField
from processing.core.parameters import ParameterVector
from processing.core.outputs import OutputVector
from processing.tools import dataobjects, vector
class MeanCoords(GeoAlgorithm):
POINTS = 'POINTS'
WEIGHT = 'WEIGHT'
OUTPUT = 'OUTPUT'
UID = 'UID'
WEIGHT = 'WEIGHT'
def defineCharacteristics(self):
self.name = 'Mean coordinate(s)'
self.group = 'Vector analysis tools'
self.addParameter(ParameterVector(self.POINTS, 'Input layer',
[ParameterVector.VECTOR_TYPE_ANY]))
self.addParameter(ParameterTableField(self.WEIGHT, 'Weight field',
MeanCoords.POINTS,
ParameterTableField.DATA_TYPE_NUMBER,
optional = True))
self.addParameter(ParameterTableField(self.UID, 'Unique ID field',
MeanCoords.POINTS,
ParameterTableField.DATA_TYPE_NUMBER,
optional = True))
self.addOutput(OutputVector(MeanCoords.OUTPUT, 'Result'))
def processAlgorithm(self, progress):
layer = dataobjects.getObjectFromUri(
self.getParameterValue(self.POINTS))
weightField = self.getParameterValue(self.WEIGHT)
uniqueField = self.getParameterValue(self.UID)
if weightField is None:
weightIndex = -1
else:
weightIndex = layer.fieldNameIndex(weightField)
if uniqueField is None:
uniqueIndex = -1
else:
uniqueIndex = layer.fieldNameIndex(uniqueField)
fieldList = [QgsField('MEAN_X', QVariant.Double, '', 24, 15),
QgsField('MEAN_Y', QVariant.Double, '', 24, 15),
QgsField('UID', QVariant.String, '', 255)]
writer = self.getOutputFromName(
self.OUTPUT).getVectorWriter(fieldList,
QGis.WKBPoint, layer.crs())
current = 0
features = vector.features(layer)
total = 100.0 / float(len(features))
means = {}
for feat in features:
current += 1
progress.setPercentage(current * total)
if uniqueIndex == -1:
clazz = "Single class"
else:
clazz = str(feat.attributes()[uniqueIndex]).strip()
if weightIndex == -1:
weight = 1.00
else:
try:
weight = float(feat.attributes()[weightIndex])
except:
weight = 1.00
if clazz not in means:
means[clazz] = (0, 0, 0)
(cx, cy, totalweight) = means[clazz]
geom = QgsGeometry(feat.geometry())
geom = vector.extractPoints(geom)
for i in geom:
cx += i.x() * weight
cy += i.y() * weight
totalweight += weight
means[clazz] = (cx, cy, totalweight)
for (clazz, values) in means.iteritems():
outFeat = QgsFeature()
cx = values[0] / values[2]
cy = values[1] / values[2]
meanPoint = QgsPoint(cx, cy)
outFeat.setGeometry(QgsGeometry.fromPoint(meanPoint))
outFeat.setAttributes([cx, cy, clazz])
writer.addFeature(outFeat)
del writer