implementen some new functions to PDFStatistics
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@ -342,41 +342,33 @@ class PDFstatistics(object):
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'''
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To do:
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plots for std, quantiles,
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calc: quantiles
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encountering error when trying to get quantile... float.. utcdatetime error
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'''
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def __init__(self, directory):
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self.directory = directory
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self.arraylen = 0
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self.stations = {}
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self.p_std = {}
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self.s_std = {}
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self.theta015 = []
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self.theta1 = []
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self.theta2 = []
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self.dirlist = list()
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self.evtdict = {}
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#self.makeDirlist()
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#self.getData()
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#self.getStatistics()
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self.makefilelist()
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self.getData()
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self.getStatistics()
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#self.showData()
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def makeDirlist(self, fn_pattern='*'):
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self.dirlist = glob.glob1(self.directory, fn_pattern)
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self.evtdict = {}
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for rd in self.dirlist:
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self.evtdict[rd] = glob.glob1((os.path.join(self.directory, rd)), '*.xml')
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def makefilelist(self, fn_pattern='*'):
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self.evtlist = glob.glob1((os.path.join(self.directory)), '*.xml')
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def getData(self):
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arraylen = 0
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for dir in self.dirlist:
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for evt in self.evtdict[dir]:
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for evt in self.evtlist:
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print evt
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self.stations[evt] = []
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self.p_std[evt] = []
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self.s_std[evt] = []
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self.getPDFDict(dir, evt)
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self.getPDFDict(self.directory, evt)
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for station, pdfs in self.pdfdict.pdf_data.items():
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# print station, pdfs
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try:
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@ -396,8 +388,7 @@ class PDFstatistics(object):
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self.stations[evt].append(station)
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self.p_std[evt].append(p_std)
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self.s_std[evt].append(s_std)
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arraylen += 1
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self.arraylen = arraylen
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self.arraylen += 1
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self.makeArray()
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@ -414,14 +405,23 @@ class PDFstatistics(object):
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def showData(self):
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#figure(p, s) = plt.pyplot.subplots(2)
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#p.hist(self.p_stdarray, Bins=100, range=[min(self.p_stdarray),max(self.p_stdarray)/256])
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#s.hist(self.s_stdarray, Bins=100, range=[min(self.s_stdarray),max(self.s_stdarray)/256])
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#p.set_title('Histogramm der P-Wellen-Standartabweichung')
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#s.set_title('Histogramm der S-Wellen-Standartabweichung')
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# plt.show()
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pass
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def histplot(self ,array , bins = 100, label=None):
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# baustelle
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import matplotlib.pyplot as plt
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plt.hist(self.axis, self.data())
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plt.xlabel('x')
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plt.ylabel('f(x)')
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plt.autoscale(axis='x', tight=True)
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if self:
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title_str = 'Probability density function '
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if label:
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title_str += label
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title_str.strip()
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else:
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title_str = 'Function not suitable as probability density function'
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plt.title(title_str)
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plt.show()
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def getPDFDict(self, month, evt):
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@ -440,9 +440,6 @@ class PDFstatistics(object):
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if __name__ == "__main__":
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rootdir = '/home/sebastianp/Data/Reassessment/Insheim/2012.10/'
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Insheim = PDFstatistics(rootdir)
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Insheim.dirlist = [rootdir]
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Insheim.evtdict[rootdir] = ['e0002.294.12.xml']
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Insheim.makefilelist()
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Insheim.getData()
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print Insheim.theta015
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print Insheim.theta1
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print Insheim.theta2
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