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1e13d733c2
initAlgorithm() method This allows 2 benefits: - algorithms can be subclassed and have subclasses add additional parameters/outputs to the algorithm. With the previous approach of declaring parameters/outputs in the constructor, it's not possible to call virtual methods to add additional parameters/ outputs (since you can't call virtual methods from a constructor). - initAlgorithm takes a variant map argument, allowing the algorithm to dynamically adjust its declared parameters and outputs according to this configuration map. This potentially allows model algorithms which can be configured to have variable numbers of parameters and outputs at run time. E.g. a "router" algorithm which directs features to one of any number of output sinks depending on some user configured criteria.
108 lines
3.8 KiB
Python
108 lines
3.8 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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BarPlot.py
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---------------------
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Date : March 2015
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Copyright : (C) 2017 by Matteo Ghetta
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Email : matteo dot ghetta 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__ = 'Matteo Ghetta'
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__date__ = 'March 2017'
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__copyright__ = '(C) 2017, Matteo Ghetta'
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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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QgsFeatureSink,
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QgsProcessingUtils)
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from processing.core.parameters import ParameterTable
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from processing.core.parameters import ParameterTableField
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from processing.core.parameters import ParameterSelection
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.core.outputs import OutputHTML
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from processing.tools import vector
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class BoxPlot(QgisAlgorithm):
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INPUT = 'INPUT'
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OUTPUT = 'OUTPUT'
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NAME_FIELD = 'NAME_FIELD'
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VALUE_FIELD = 'VALUE_FIELD'
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MSD = 'MSD'
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def group(self):
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return self.tr('Graphics')
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def __init__(self):
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super().__init__()
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def initAlgorithm(self, config=None):
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self.addParameter(ParameterTable(self.INPUT, self.tr('Input table')))
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self.addParameter(ParameterTableField(self.NAME_FIELD,
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self.tr('Category name field'),
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self.INPUT,
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ParameterTableField.DATA_TYPE_ANY))
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self.addParameter(ParameterTableField(self.VALUE_FIELD,
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self.tr('Value field'),
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self.INPUT,
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ParameterTableField.DATA_TYPE_NUMBER))
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msd = [self.tr('Show Mean'),
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self.tr('Show Standard Deviation'),
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self.tr('Don\'t show Mean and Standard Deviation')
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]
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self.addParameter(ParameterSelection(
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self.MSD,
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self.tr('Additional Statistic Lines'),
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msd, default=0))
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self.addOutput(OutputHTML(self.OUTPUT, self.tr('Box plot')))
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def name(self):
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return 'boxplot'
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def displayName(self):
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return self.tr('Box plot')
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def processAlgorithm(self, parameters, context, feedback):
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layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT), context)
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namefieldname = self.getParameterValue(self.NAME_FIELD)
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valuefieldname = self.getParameterValue(self.VALUE_FIELD)
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output = self.getOutputValue(self.OUTPUT)
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values = vector.values(layer, valuefieldname)
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x_var = [i[namefieldname] for i in layer.getFeatures()]
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msdIndex = self.getParameterValue(self.MSD)
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msd = True
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if msdIndex == 1:
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msd = 'sd'
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elif msdIndex == 2:
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msd = False
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data = [go.Box(
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x=x_var,
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y=values[valuefieldname],
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boxmean=msd)]
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plt.offline.plot(data, filename=output, auto_open=False)
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