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126 lines
4.3 KiB
Python
126 lines
4.3 KiB
Python
"""
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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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import warnings
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from qgis.core import (
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QgsProcessingParameterFeatureSource,
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QgsProcessingParameterField,
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QgsProcessingException,
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QgsProcessingParameterFileDestination,
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)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.tools import vector
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from qgis.PyQt.QtCore import QCoreApplication
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class MeanAndStdDevPlot(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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def group(self):
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return self.tr("Plots")
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def groupId(self):
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return "plots"
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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(
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QgsProcessingParameterFeatureSource(self.INPUT, self.tr("Input table"))
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)
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self.addParameter(
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QgsProcessingParameterField(
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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.DataType.Any,
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)
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)
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self.addParameter(
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QgsProcessingParameterField(
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self.VALUE_FIELD,
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self.tr("Value field"),
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parentLayerParameterName=self.INPUT,
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type=QgsProcessingParameterField.DataType.Numeric,
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)
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)
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self.addParameter(
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QgsProcessingParameterFileDestination(
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self.OUTPUT, self.tr("Plot"), self.tr("HTML files (*.html)")
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)
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)
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def name(self):
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return "meanandstandarddeviationplot"
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def displayName(self):
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return self.tr("Mean and standard deviation plot")
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def processAlgorithm(self, parameters, context, feedback):
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try:
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# importing plotly throws Python warnings from within the library - filter these out
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with warnings.catch_warnings():
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warnings.filterwarnings("ignore", category=ResourceWarning)
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warnings.filterwarnings("ignore", category=ImportWarning)
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import plotly as plt
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import plotly.graph_objs as go
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except ImportError:
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raise QgsProcessingException(
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QCoreApplication.translate(
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"MeanAndStdDevPlot",
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"This algorithm requires the Python “plotly” library. Please install this library and try again.",
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)
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)
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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(
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self.invalidSourceError(parameters, self.INPUT)
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)
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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, 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 = [go.Box(y=list(v), boxmean="sd", name=k) for k, v in d.items()]
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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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