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151 lines
5.6 KiB
Python
151 lines
5.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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MeanCoords.py
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---------------------
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Date : August 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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from builtins import str
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__author__ = 'Victor Olaya'
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__date__ = 'August 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 os
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from qgis.PyQt.QtGui import QIcon
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from qgis.PyQt.QtCore import QVariant
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from qgis.core import QgsField, QgsFeature, QgsGeometry, QgsPointXY, QgsWkbTypes, QgsProcessingUtils, QgsFields
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
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from processing.core.parameters import ParameterTableField
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from processing.core.parameters import ParameterVector
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from processing.core.outputs import OutputVector
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from processing.tools import dataobjects, vector
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pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
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class MeanCoords(QgisAlgorithm):
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POINTS = 'POINTS'
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WEIGHT = 'WEIGHT'
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OUTPUT = 'OUTPUT'
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UID = 'UID'
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WEIGHT = 'WEIGHT'
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def icon(self):
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return QIcon(os.path.join(pluginPath, 'images', 'ftools', 'mean.png'))
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def group(self):
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return self.tr('Vector analysis tools')
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def __init__(self):
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super().__init__()
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self.addParameter(ParameterVector(self.POINTS,
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self.tr('Input layer')))
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self.addParameter(ParameterTableField(self.WEIGHT,
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self.tr('Weight field'),
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MeanCoords.POINTS,
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ParameterTableField.DATA_TYPE_NUMBER,
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optional=True))
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self.addParameter(ParameterTableField(self.UID,
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self.tr('Unique ID field'),
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MeanCoords.POINTS,
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optional=True))
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self.addOutput(OutputVector(MeanCoords.OUTPUT, self.tr('Mean coordinates'), datatype=[dataobjects.TYPE_VECTOR_POINT]))
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def name(self):
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return 'meancoordinates'
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def displayName(self):
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return self.tr('Mean coordinate(s)')
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def processAlgorithm(self, parameters, context, feedback):
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layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.POINTS), context)
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weightField = self.getParameterValue(self.WEIGHT)
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uniqueField = self.getParameterValue(self.UID)
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if weightField is None:
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weightIndex = -1
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else:
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weightIndex = layer.fields().lookupField(weightField)
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if uniqueField is None:
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uniqueIndex = -1
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else:
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uniqueIndex = layer.fields().lookupField(uniqueField)
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fieldList = QgsFields()
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fieldList.append(QgsField('MEAN_X', QVariant.Double, '', 24, 15))
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fieldList.append(QgsField('MEAN_Y', QVariant.Double, '', 24, 15))
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fieldList.append(QgsField('UID', QVariant.String, '', 255))
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writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(fieldList, QgsWkbTypes.Point, layer.crs(), context)
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features = QgsProcessingUtils.getFeatures(layer, context)
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total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
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means = {}
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for current, feat in enumerate(features):
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feedback.setProgress(int(current * total))
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if uniqueIndex == -1:
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clazz = "Single class"
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else:
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clazz = str(feat.attributes()[uniqueIndex]).strip()
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if weightIndex == -1:
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weight = 1.00
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else:
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try:
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weight = float(feat.attributes()[weightIndex])
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except:
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weight = 1.00
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if weight < 0:
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raise GeoAlgorithmExecutionException(self.tr('Negative weight value found. Please fix your data and try again.'))
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if clazz not in means:
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means[clazz] = (0, 0, 0)
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(cx, cy, totalweight) = means[clazz]
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geom = QgsGeometry(feat.geometry())
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geom = vector.extractPoints(geom)
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for i in geom:
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cx += i.x() * weight
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cy += i.y() * weight
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totalweight += weight
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means[clazz] = (cx, cy, totalweight)
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current = 0
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total = 100.0 / len(means)
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for (clazz, values) in list(means.items()):
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outFeat = QgsFeature()
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cx = values[0] / values[2]
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cy = values[1] / values[2]
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meanPoint = QgsPointXY(cx, cy)
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outFeat.setGeometry(QgsGeometry.fromPoint(meanPoint))
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outFeat.setAttributes([cx, cy, clazz])
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writer.addFeature(outFeat)
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current += 1
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feedback.setProgress(int(current * total))
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del writer
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