QGIS/python/plugins/processing/algs/qgis/RasterLayerHistogram.py

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# -*- 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'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
import plotly as plt
import plotly.graph_objs as go
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from processing.core.GeoAlgorithm import GeoAlgorithm
from processing.core.parameters import ParameterNumber
from processing.core.parameters import ParameterRaster
from processing.core.outputs import OutputHTML
from processing.tools import dataobjects, raster
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class RasterLayerHistogram(GeoAlgorithm):
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INPUT = 'INPUT'
BINS = 'BINS'
PLOT = 'PLOT'
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def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Raster layer histogram')
self.group, self.i18n_group = self.trAlgorithm('Graphics')
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 processAlgorithm(self, feedback):
layer = dataobjects.getObjectFromUri(
self.getParameterValue(self.INPUT))
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)
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valueslist = []
for v in values:
if v is not None:
valueslist.append(v)
data = [go.Histogram(x=valueslist,
nbinsx=nbins)]
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plt.offline.plot(data, filename=output, auto_open=False)