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b1cadb1822
have specific icons, instead of generic qgis icon We consider these 'top level' algorithms, and using the standard algorithm icon should help reflect this and differentiate them from 3rd party algorithms.
136 lines
4.7 KiB
Python
136 lines
4.7 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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RasterLayerStatistics.py
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---------------------
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Date : January 2013
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Copyright : (C) 2013 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__ = 'January 2013'
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__copyright__ = '(C) 2013, 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 math
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import codecs
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from qgis.core import (QgsApplication,
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QgsProcessingUtils)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.core.parameters import ParameterRaster
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from processing.core.outputs import OutputNumber
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from processing.core.outputs import OutputHTML
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from processing.tools import raster
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class RasterLayerStatistics(QgisAlgorithm):
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INPUT = 'INPUT'
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MIN = 'MIN'
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MAX = 'MAX'
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SUM = 'SUM'
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MEAN = 'MEAN'
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COUNT = 'COUNT'
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NO_DATA_COUNT = 'NO_DATA_COUNT'
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STD_DEV = 'STD_DEV'
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OUTPUT_HTML_FILE = 'OUTPUT_HTML_FILE'
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def group(self):
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return self.tr('Raster tools')
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def __init__(self):
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super().__init__()
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self.addParameter(ParameterRaster(self.INPUT, self.tr('Input layer')))
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self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, self.tr('Statistics')))
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self.addOutput(OutputNumber(self.MIN, self.tr('Minimum value')))
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self.addOutput(OutputNumber(self.MAX, self.tr('Maximum value')))
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self.addOutput(OutputNumber(self.SUM, self.tr('Sum')))
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self.addOutput(OutputNumber(self.MEAN, self.tr('Mean value')))
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self.addOutput(OutputNumber(self.COUNT, self.tr('valid cells count')))
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self.addOutput(OutputNumber(self.COUNT, self.tr('No-data cells count')))
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self.addOutput(OutputNumber(self.STD_DEV, self.tr('Standard deviation')))
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def name(self):
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return 'rasterlayerstatistics'
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def displayName(self):
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return self.tr('Raster layer statistics')
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def processAlgorithm(self, parameters, context, feedback):
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outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
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uri = self.getParameterValue(self.INPUT)
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layer = QgsProcessingUtils.mapLayerFromString(uri, context)
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values = raster.scanraster(layer, feedback)
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n = 0
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nodata = 0
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mean = 0
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M2 = 0
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sum = 0
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minvalue = None
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maxvalue = None
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for v in values:
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if v is not None:
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sum += v
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n = n + 1
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delta = v - mean
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mean = mean + delta / n
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M2 = M2 + delta * (v - mean)
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if minvalue is None:
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minvalue = v
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maxvalue = v
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else:
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minvalue = min(v, minvalue)
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maxvalue = max(v, maxvalue)
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else:
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nodata += 1
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variance = M2 / (n - 1)
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stddev = math.sqrt(variance)
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data = []
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data.append('Valid cells: ' + str(n))
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data.append('No-data cells: ' + str(nodata))
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data.append('Minimum value: ' + str(minvalue))
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data.append('Maximum value: ' + str(maxvalue))
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data.append('Sum: ' + str(sum))
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data.append('Mean value: ' + str(mean))
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data.append('Standard deviation: ' + str(stddev))
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self.createHTML(outputFile, data)
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self.setOutputValue(self.COUNT, n)
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self.setOutputValue(self.NO_DATA_COUNT, nodata)
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self.setOutputValue(self.MIN, minvalue)
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self.setOutputValue(self.MAX, maxvalue)
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self.setOutputValue(self.SUM, sum)
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self.setOutputValue(self.MEAN, mean)
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self.setOutputValue(self.STD_DEV, stddev)
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def createHTML(self, outputFile, algData):
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with codecs.open(outputFile, 'w', encoding='utf-8') as f:
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f.write('<html><head>')
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f.write('<meta http-equiv="Content-Type" content="text/html; \
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charset=utf-8" /></head><body>')
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for s in algData:
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f.write('<p>' + str(s) + '</p>')
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f.write('</body></html>')
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