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86 lines
2.9 KiB
Python
86 lines
2.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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RasterLayerHistogram.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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__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 plotly as plt
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import plotly.graph_objs as go
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from qgis.core import (QgsApplication)
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from processing.core.parameters import ParameterNumber
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from processing.core.parameters import ParameterRaster
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from processing.core.outputs import OutputHTML
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from processing.tools import dataobjects, raster
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class RasterLayerHistogram(GeoAlgorithm):
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INPUT = 'INPUT'
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BINS = 'BINS'
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PLOT = 'PLOT'
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def icon(self):
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return QgsApplication.getThemeIcon("/providerQgis.svg")
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def svgIconPath(self):
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return QgsApplication.iconPath("providerQgis.svg")
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def group(self):
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return self.tr('Graphics')
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def name(self):
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return 'rasterlayerhistogram'
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def displayName(self):
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return self.tr('Raster layer histogram')
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def defineCharacteristics(self):
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self.addParameter(ParameterRaster(self.INPUT,
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self.tr('Input layer')))
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self.addParameter(ParameterNumber(self.BINS,
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self.tr('Number of bins'), 2, None, 10))
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self.addOutput(OutputHTML(self.PLOT, self.tr('Histogram')))
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def processAlgorithm(self, context, feedback):
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layer = dataobjects.getLayerFromString(
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self.getParameterValue(self.INPUT))
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nbins = self.getParameterValue(self.BINS)
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output = self.getOutputValue(self.PLOT)
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# ALERT: this is potentially blocking if the layer is too big
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values = raster.scanraster(layer, feedback)
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valueslist = []
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for v in values:
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if v is not None:
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valueslist.append(v)
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data = [go.Histogram(x=valueslist,
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nbinsx=nbins)]
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plt.offline.plot(data, filename=output, auto_open=False)
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