[task] PDFStatistics object is now far more flexible
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sebastianp
parent
b72e16aaed
commit
f4bdb38e16
@ -345,13 +345,6 @@ class PDFstatistics(object):
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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.theta0 = []
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# self.theta1 = []
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# self.theta2 = []
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def readTheta(self, arname, dir, fnpattern):
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@ -366,17 +359,11 @@ class PDFstatistics(object):
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fid.close()
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def fromFileList(self):
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self.makeFileList()
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self.getData()
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self.getStatistics()
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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 nextPDF(self):
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def nextPDF(self):
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for evt in self.evtlist:
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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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@ -389,93 +376,75 @@ class PDFstatistics(object):
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except KeyError:
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yield np.nan
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def getQD(self,value):
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pdfgen = self.nextPDF()
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QDlist = []
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for pdf in pdfgen:
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if pdf == np.nan:
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continue
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QD = pdf.quantile_distance(value)
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QDlist.append(QD)
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try:
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QD = pdf.quantile_distance(value)
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QDlist.append(QD)
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except AttributeError as e:
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if e.message == "'float' object has no attribute 'quantile_distance'":
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continue
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return QDlist
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def getQDQ(self,value):
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pdfgen = self.nextPDF()
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QDQlist = []
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for pdf in pdfgen:
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try:
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QDQ = pdf.qtile_dist_quot(value)
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QDQlist.append(QDQ)
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except AttributeError as e:
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if e.message == "'float' object has no attribute 'quantile_distance'":
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continue
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return QDQlist
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def getData(self):
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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(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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p_std = pdfs['P'].standard_deviation()
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self.theta0.append(pdfs['P'].qtile_dist_quot(0.015))
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self.theta1.append(pdfs['P'].qtile_dist_quot(0.1))
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self.theta2.append(pdfs['P'].qtile_dist_quot(0.2))
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except KeyError:
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p_std = np.nan
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try:
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s_std = pdfs['S'].standard_deviation()
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self.theta0.append(pdfs['S'].qtile_dist_quot(0.015))
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self.theta1.append(pdfs['S'].qtile_dist_quot(0.1))
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self.theta2.append(pdfs['S'].qtile_dist_quot(0.2))
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except KeyError:
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s_std = np.nan
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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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self.arraylen += 1
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def getSTD(self):
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pdfgen = self.nextPDF()
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self.p_std = []
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self.s_std = []
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for pdf in pdfgen:
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try:
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self.p_std.append(pdf['P'].standard_deviation())
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except KeyError:
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pass
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try:
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self.s_std.append(pdf['S'].standard_deviation())
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except KeyError:
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pass
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self.makeArray()
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def makeArray(self):
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index = 0
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self.p_stdarray = np.zeros(self.arraylen)
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self.s_stdarray = np.zeros(self.arraylen)
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for evt in self.p_std.keys():
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for n in range(len(self.p_std[evt])):
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self.p_stdarray[index] = self.p_std[evt][n]
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self.s_stdarray[index] = self.s_std[evt][n]
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index += 1
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self.p_stdarray = np.array(self.p_std)
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self.s_stdarray = np.array(self.s_std)
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def histplot(self, num, label=None):
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def getBinList(self,l_boundary,u_boundary,nbins = 100):
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binlist = []
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if num == 0:
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bfactor = 0.001
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badd = 0
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elif num == 1:
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bfactor = 0.003
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badd = 0
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else:
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bfactor = 0.006
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badd = 0.4
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for i in range(100):
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binlist.append(badd+bfactor*i)
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import matplotlib.pyplot as plt
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for i in range(nbins):
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binlist.append(l_boundary + i*(u_boundary-l_boundary)/nbins)
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return binlist
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plt.hist(self.getTheta(num),bins = binlist)
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def histplot(self, array, binlist, xlab = 'Values',
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ylab = 'Frequency', title = None, label=None):
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import matplotlib.pyplot as plt
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plt.hist(array,bins = binlist)
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plt.xlabel('Values')
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plt.ylabel('Frequency')
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title_str = 'Quantile distance quotient distribution'
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if label:
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title_str += ' (' + label + ')'
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plt.title(title_str)
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if title:
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title_str = 'Quantile distance quotient distribution'
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if label:
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title_str += ' (' + label + ')'
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plt.title(title_str)
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plt.show()
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def getTheta(self,number):
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if number == 0:
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return self.theta0
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elif number == 1:
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return self.theta1
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elif number == 2:
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return self.theta2
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def getPDFDict(self, month, evt):
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self.pdfdict = PDFDictionary.from_quakeml(os.path.join(self.directory,month,evt))
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@ -499,8 +468,11 @@ def main():
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root_dir ='/home/sebastianp/Codetesting/xmls/'
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Insheim = PDFstatistics(root_dir)
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Insheim.makeFileList()
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qdlist = Insheim.getQD(0.3)
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Insheim.getSTD()
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Insheim.getStatistics()
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qdlist = Insheim.getQDQ(0.3)
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print qdlist
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if __name__ == "__main__":
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main()
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