# -*- 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 (QgsApplication, QgsProcessingUtils) from processing.algs.qgis import QgisAlgorithm from processing.core.parameters import ParameterNumber from processing.core.parameters import ParameterRaster from processing.core.outputs import OutputHTML from processing.tools import raster class RasterLayerHistogram(QgisAlgorithm): INPUT = 'INPUT' BINS = 'BINS' PLOT = 'PLOT' def icon(self): return QgsApplication.getThemeIcon("/providerQgis.svg") def svgIconPath(self): return QgsApplication.iconPath("providerQgis.svg") def group(self): return self.tr('Graphics') def __init__(self): super().__init__() self.addParameter(ParameterRaster(self.INPUT, self.tr('Input layer'))) self.addParameter(ParameterNumber(self.BINS, self.tr('Number of bins'), 2, None, 10)) self.addOutput(OutputHTML(self.PLOT, self.tr('Histogram'))) def name(self): return 'rasterlayerhistogram' def displayName(self): return self.tr('Raster layer histogram') def processAlgorithm(self, parameters, context, feedback): layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT), context) nbins = self.getParameterValue(self.BINS) output = self.getOutputValue(self.PLOT) # ALERT: this is potentially blocking if the layer is too big values = raster.scanraster(layer, feedback) 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)