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97 lines
3.4 KiB
Python
97 lines
3.4 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 : 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 matplotlib.pyplot as plt
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import matplotlib.pylab as lab
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import matplotlib.cm as cm
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from matplotlib.pyplot import figure, show, rc
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import numpy as np
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from PyQt4.QtCore import *
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from qgis.core import *
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from processing.parameters.ParameterTable import ParameterTable
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from processing.parameters.ParameterTableField import ParameterTableField
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from processing.outputs.OutputHTML import OutputHTML
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from processing.tools import *
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from processing.tools import dataobjects
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class PolarPlot(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 processAlgorithm(self, progress):
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uri = self.getParameterValue(self.INPUT)
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layer = dataobjects.getObjectFromUri(uri)
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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.getAttributeValues(layer, namefieldname, valuefieldname)
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plt.close()
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fig = figure(figsize=(8,8))
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ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
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N = len(values[valuefieldname])
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theta = np.arange(0.0, 2*np.pi, 2*np.pi/N)
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radii = values[valuefieldname]
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width = 2*np.pi/N
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ax.bar(theta, radii, width=width, bottom=0.0)
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plotFilename = output +".png"
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lab.savefig(plotFilename)
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f = open(output, "w")
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f.write("<img src=\"" + plotFilename + "\"/>")
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f.close()
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def defineCharacteristics(self):
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self.name = "Polar plot"
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self.group = "Graphics"
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self.addParameter(ParameterTable(self.INPUT, "Input table"))
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self.addParameter(ParameterTableField(self.NAME_FIELD, "Category name field", self.INPUT))
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self.addParameter(ParameterTableField(self.VALUE_FIELD, "Value field", self.INPUT))
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self.addOutput(OutputHTML(self.OUTPUT, "Output"))
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# force square figure and square axes looks better for polar, IMO
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fig = figure(figsize=(8,8))
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ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
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N = 20
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theta = np.arange(0.0, 2*np.pi, 2*np.pi/N)
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radii = 10*np.random.rand(N)
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width = np.pi/4*np.random.rand(N)
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bars = ax.bar(theta, radii, width=width, bottom=0.0)
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for r,bar in zip(radii, bars):
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bar.set_facecolor( cm.jet(r/10.))
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bar.set_alpha(0.5) |