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b1cadb1822
have specific icons, instead of generic qgis icon We consider these 'top level' algorithms, and using the standard algorithm icon should help reflect this and differentiate them from 3rd party algorithms.
106 lines
3.7 KiB
Python
106 lines
3.7 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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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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