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

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# -*- coding: utf-8 -*-
"""
***************************************************************************
MeanAndStdDevPlot.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
from qgis.core import (QgsApplication,
QgsProcessingUtils)
from processing.algs.qgis import QgisAlgorithm
from processing.core.parameters import ParameterTable
from processing.core.parameters import ParameterTableField
from processing.core.outputs import OutputHTML
from processing.tools import vector
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class MeanAndStdDevPlot(QgisAlgorithm):
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INPUT = 'INPUT'
OUTPUT = 'OUTPUT'
NAME_FIELD = 'NAME_FIELD'
VALUE_FIELD = 'VALUE_FIELD'
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def icon(self):
return QgsApplication.getThemeIcon("/providerQgis.svg")
def svgIconPath(self):
return QgsApplication.iconPath("providerQgis.svg")
def group(self):
return self.tr('Graphics')
def __init__(self):
super().__init__()
self.addParameter(ParameterTable(self.INPUT,
self.tr('Input table')))
self.addParameter(ParameterTableField(self.NAME_FIELD,
self.tr('Category name field'), self.INPUT,
ParameterTableField.DATA_TYPE_ANY))
self.addParameter(ParameterTableField(self.VALUE_FIELD,
self.tr('Value field'), self.INPUT))
self.addOutput(OutputHTML(self.OUTPUT, self.tr('Plot')))
def name(self):
return 'meanandstandarddeviationplot'
def displayName(self):
return self.tr('Mean and standard deviation plot')
def processAlgorithm(self, parameters, context, feedback):
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT), context)
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namefieldname = self.getParameterValue(self.NAME_FIELD)
valuefieldname = self.getParameterValue(self.VALUE_FIELD)
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output = self.getOutputValue(self.OUTPUT)
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values = vector.values(layer, context, namefieldname, valuefieldname)
d = {}
for i in range(len(values[namefieldname])):
v = values[namefieldname][i]
if v not in d:
d[v] = [values[valuefieldname][i]]
else:
d[v].append(values[valuefieldname][i])
data = []
for k, v in d.items():
data.append(go.Box(y=list(v),
boxmean='sd',
name=k
))
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plt.offline.plot(data, filename=output, auto_open=False)