mirror of
https://github.com/qgis/QGIS.git
synced 2025-10-31 00:06:02 -04:00
151 lines
5.6 KiB
Python
151 lines
5.6 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. *
|
|
* *
|
|
***************************************************************************
|
|
"""
|
|
from builtins import str
|
|
|
|
__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__ = '$Format:%H$'
|
|
|
|
import os
|
|
|
|
from qgis.PyQt.QtGui import QIcon
|
|
from qgis.PyQt.QtCore import QVariant
|
|
|
|
from qgis.core import QgsField, QgsFeature, QgsGeometry, QgsPointXY, QgsWkbTypes, QgsProcessingUtils, QgsFields
|
|
|
|
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
|
|
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
|
|
from processing.core.parameters import ParameterTableField
|
|
from processing.core.parameters import ParameterVector
|
|
from processing.core.outputs import OutputVector
|
|
from processing.tools import dataobjects, vector
|
|
|
|
pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
|
|
|
|
|
|
class MeanCoords(QgisAlgorithm):
|
|
|
|
POINTS = 'POINTS'
|
|
WEIGHT = 'WEIGHT'
|
|
OUTPUT = 'OUTPUT'
|
|
UID = 'UID'
|
|
WEIGHT = 'WEIGHT'
|
|
|
|
def icon(self):
|
|
return QIcon(os.path.join(pluginPath, 'images', 'ftools', 'mean.png'))
|
|
|
|
def group(self):
|
|
return self.tr('Vector analysis tools')
|
|
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.addParameter(ParameterVector(self.POINTS,
|
|
self.tr('Input layer')))
|
|
self.addParameter(ParameterTableField(self.WEIGHT,
|
|
self.tr('Weight field'),
|
|
MeanCoords.POINTS,
|
|
ParameterTableField.DATA_TYPE_NUMBER,
|
|
optional=True))
|
|
self.addParameter(ParameterTableField(self.UID,
|
|
self.tr('Unique ID field'),
|
|
MeanCoords.POINTS,
|
|
optional=True))
|
|
|
|
self.addOutput(OutputVector(MeanCoords.OUTPUT, self.tr('Mean coordinates'), datatype=[dataobjects.TYPE_VECTOR_POINT]))
|
|
|
|
def name(self):
|
|
return 'meancoordinates'
|
|
|
|
def displayName(self):
|
|
return self.tr('Mean coordinate(s)')
|
|
|
|
def processAlgorithm(self, parameters, context, feedback):
|
|
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.POINTS), context)
|
|
weightField = self.getParameterValue(self.WEIGHT)
|
|
uniqueField = self.getParameterValue(self.UID)
|
|
|
|
if weightField is None:
|
|
weightIndex = -1
|
|
else:
|
|
weightIndex = layer.fields().lookupField(weightField)
|
|
|
|
if uniqueField is None:
|
|
uniqueIndex = -1
|
|
else:
|
|
uniqueIndex = layer.fields().lookupField(uniqueField)
|
|
|
|
fieldList = QgsFields()
|
|
fieldList.append(QgsField('MEAN_X', QVariant.Double, '', 24, 15))
|
|
fieldList.append(QgsField('MEAN_Y', QVariant.Double, '', 24, 15))
|
|
fieldList.append(QgsField('UID', QVariant.String, '', 255))
|
|
|
|
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(fieldList, QgsWkbTypes.Point, layer.crs(), context)
|
|
|
|
features = QgsProcessingUtils.getFeatures(layer, context)
|
|
total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
|
|
means = {}
|
|
for current, feat in enumerate(features):
|
|
feedback.setProgress(int(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 weight < 0:
|
|
raise GeoAlgorithmExecutionException(self.tr('Negative weight value found. Please fix your data and try again.'))
|
|
|
|
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)
|
|
|
|
current = 0
|
|
total = 100.0 / len(means)
|
|
for (clazz, values) in list(means.items()):
|
|
outFeat = QgsFeature()
|
|
cx = values[0] / values[2]
|
|
cy = values[1] / values[2]
|
|
meanPoint = QgsPointXY(cx, cy)
|
|
|
|
outFeat.setGeometry(QgsGeometry.fromPoint(meanPoint))
|
|
outFeat.setAttributes([cx, cy, clazz])
|
|
writer.addFeature(outFeat)
|
|
current += 1
|
|
feedback.setProgress(int(current * total))
|
|
|
|
del writer
|