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117 lines
4.5 KiB
Python
117 lines
4.5 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 (QgsProcessingException,
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QgsProcessingParameterFeatureSource,
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QgsProcessingParameterField,
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QgsProcessingParameterEnum,
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QgsProcessingParameterFileDestination,
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QgsFeatureRequest)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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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 groupId(self):
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return '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(QgsProcessingParameterFeatureSource(self.INPUT,
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self.tr('Input layer')))
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self.addParameter(QgsProcessingParameterField(self.NAME_FIELD,
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self.tr('Category name field'),
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parentLayerParameterName=self.INPUT,
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type=QgsProcessingParameterField.Any))
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self.addParameter(QgsProcessingParameterField(self.VALUE_FIELD,
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self.tr('Value field'),
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parentLayerParameterName=self.INPUT,
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type=QgsProcessingParameterField.Numeric))
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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(QgsProcessingParameterEnum(
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self.MSD,
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self.tr('Additional Statistic Lines'),
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options=msd, defaultValue=0))
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self.addParameter(QgsProcessingParameterFileDestination(self.OUTPUT, self.tr('Box plot'), self.tr('HTML files (*.html)')))
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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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source = self.parameterAsSource(parameters, self.INPUT, context)
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if source is None:
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raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT))
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namefieldname = self.parameterAsString(parameters, self.NAME_FIELD, context)
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valuefieldname = self.parameterAsString(parameters, self.VALUE_FIELD, context)
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output = self.parameterAsFileOutput(parameters, self.OUTPUT, context)
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values = vector.values(source, valuefieldname)
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x_index = source.fields().lookupField(namefieldname)
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x_var = vector.convert_nulls([i[namefieldname] for i in source.getFeatures(QgsFeatureRequest().setFlags(QgsFeatureRequest.NoGeometry).setSubsetOfAttributes([x_index]))], '<NULL>')
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msdIndex = self.parameterAsEnum(parameters, self.MSD, context)
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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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return {self.OUTPUT: output}
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