# -*- coding: utf-8 -*- """ *************************************************************************** RasterLayerHistogram.py --------------------- Date : January 2013 Copyright : (C) 2013 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__ = 'January 2013' __copyright__ = '(C) 2013, Victor Olaya' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' import plotly as plt import plotly.graph_objs as go from qgis.core import (QgsProcessingParameterRasterLayer, QgsProcessingParameterBand, QgsProcessingParameterNumber, QgsProcessingParameterFileDestination, QgsProcessingOutputHtml) from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm from processing.tools import raster class RasterLayerHistogram(QgisAlgorithm): INPUT = 'INPUT' BINS = 'BINS' OUTPUT = 'OUTPUT' BAND = 'BAND' def group(self): return self.tr('Graphics') def groupId(self): return 'graphics' def __init__(self): super().__init__() def initAlgorithm(self, config=None): self.addParameter(QgsProcessingParameterRasterLayer(self.INPUT, self.tr('Input layer'))) self.addParameter(QgsProcessingParameterBand(self.BAND, self.tr('Band number'), 1, self.INPUT)) self.addParameter(QgsProcessingParameterNumber(self.BINS, self.tr('number of bins'), minValue=2, defaultValue=10)) self.addParameter(QgsProcessingParameterFileDestination(self.OUTPUT, self.tr('Histogram'), self.tr('HTML files (*.html)'))) self.addOutput(QgsProcessingOutputHtml(self.OUTPUT, self.tr('Histogram'))) def name(self): return 'rasterlayerhistogram' def displayName(self): return self.tr('Raster layer histogram') def processAlgorithm(self, parameters, context, feedback): layer = self.parameterAsRasterLayer(parameters, self.INPUT, context) band = self.parameterAsInt(parameters, self.BAND, context) nbins = self.parameterAsInt(parameters, self.BINS, context) output = self.parameterAsFileOutput(parameters, self.OUTPUT, context) # ALERT: this is potentially blocking if the layer is too big values = raster.scanraster(layer, feedback, band) valueslist = [] for v in values: if v is not None: valueslist.append(v) data = [go.Histogram(x=valueslist, nbinsx=nbins)] plt.offline.plot(data, filename=output, auto_open=False) return {self.OUTPUT: output}