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86 lines
3.2 KiB
Python
86 lines
3.2 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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MeanAndStdDevPlot.py
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---------------------
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Date : January 2013
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Copyright : (C) 2013 by Victor Olaya
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Email : volayaf 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__ = 'Victor Olaya'
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__date__ = 'January 2013'
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__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__ = '$Format:%H$'
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import plotly as plt
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import plotly.graph_objs as go
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from processing.core.GeoAlgorithm import GeoAlgorithm
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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.outputs import OutputHTML
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from processing.tools import vector
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from processing.tools import dataobjects
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class MeanAndStdDevPlot(GeoAlgorithm):
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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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def defineCharacteristics(self):
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self.name, self.i18n_name = self.trAlgorithm('Mean and standard deviation plot')
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self.group, self.i18n_group = self.trAlgorithm('Graphics')
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self.addParameter(ParameterTable(self.INPUT,
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self.tr('Input table')))
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self.addParameter(ParameterTableField(self.NAME_FIELD,
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self.tr('Category name field'), 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'), self.INPUT))
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self.addOutput(OutputHTML(self.OUTPUT, self.tr('Plot')))
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def processAlgorithm(self, feedback):
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layer = dataobjects.getObjectFromUri(
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self.getParameterValue(self.INPUT))
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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, namefieldname, valuefieldname)
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d = {}
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for i in range(len(values[namefieldname])):
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v = values[namefieldname][i]
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if v not in d:
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d[v] = [values[valuefieldname][i]]
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else:
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d[v].append(values[valuefieldname][i])
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data = []
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for k, v in d.items():
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data.append(go.Box(y=list(v),
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boxmean='sd',
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name=k
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))
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plt.offline.plot(data, filename=output, auto_open=False)
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