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Agrega la clase ProfileSelector y el metodo filterByHeights en jroprocessing.py...
Daniel Valdez -
r233:1c9beb790bbb
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@@ -820,4 +820,148 class CoherencePlot(Figure):
820 820 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
821 821 self.__isConfig = False
822 822
823 No newline at end of file
823 class RTIfromNoise(Figure):
824
825 __isConfig = None
826 __nsubplots = None
827
828 WIDTHPROF = None
829 HEIGHTPROF = None
830 PREFIX = 'rti'
831
832 def __init__(self):
833
834 self.__timerange = 24*60*60
835 self.__isConfig = False
836 self.__nsubplots = 1
837
838 self.WIDTH = 800
839 self.HEIGHT = 200
840
841 def getSubplots(self):
842
843 ncol = 1
844 nrow = self.nplots
845
846 return nrow, ncol
847
848 def setup(self, idfigure, nplots, wintitle, showprofile=True):
849
850 self.__showprofile = showprofile
851 self.nplots = nplots
852
853 ncolspan = 1
854 colspan = 1
855
856 self.createFigure(idfigure = idfigure,
857 wintitle = wintitle,
858 widthplot = self.WIDTH + self.WIDTHPROF,
859 heightplot = self.HEIGHT + self.HEIGHTPROF)
860
861 nrow, ncol = self.getSubplots()
862
863 self.addAxes(nrow, ncol, 0, 0, 1, 1)
864
865
866
867 def __getTimeLim(self, x, xmin, xmax):
868
869 thisdatetime = datetime.datetime.fromtimestamp(numpy.min(x))
870 thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0))
871
872 ####################################################
873 #If the x is out of xrange
874 if xmax < (thisdatetime - thisdate).seconds/(60*60.):
875 xmin = None
876 xmax = None
877
878 if xmin == None:
879 td = thisdatetime - thisdate
880 xmin = td.seconds/(60*60.)
881
882 if xmax == None:
883 xmax = xmin + self.__timerange/(60*60.)
884
885 mindt = thisdate + datetime.timedelta(0,0,0,0,0, xmin)
886 tmin = time.mktime(mindt.timetuple())
887
888 maxdt = thisdate + datetime.timedelta(0,0,0,0,0, xmax)
889 tmax = time.mktime(maxdt.timetuple())
890
891 self.__timerange = tmax - tmin
892
893 return tmin, tmax
894
895 def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True',
896 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
897 timerange=None,
898 save=False, figpath='./', figfile=None):
899
900 if channelList == None:
901 channelIndexList = dataOut.channelIndexList
902 else:
903 channelIndexList = []
904 for channel in channelList:
905 if channel not in dataOut.channelList:
906 raise ValueError, "Channel %d is not in dataOut.channelList"
907 channelIndexList.append(dataOut.channelList.index(channel))
908
909 if timerange != None:
910 self.__timerange = timerange
911
912 tmin = None
913 tmax = None
914 x = dataOut.getTimeRange()
915 y = dataOut.getHeiRange()
916 x1 = dataOut.datatime
917 # z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:])
918 # avg = numpy.average(z, axis=1)
919
920 noise = dataOut.getNoise()
921
922 if not self.__isConfig:
923
924 nplots = len(channelIndexList)
925
926 self.setup(idfigure=idfigure,
927 nplots=nplots,
928 wintitle=wintitle,
929 showprofile=showprofile)
930
931 tmin, tmax = self.__getTimeLim(x, xmin, xmax)
932 if ymin == None: ymin = numpy.nanmin(y)
933 if ymax == None: ymax = numpy.nanmax(y)
934 if zmin == None: zmin = numpy.nanmin(avg)*0.9
935 if zmax == None: zmax = numpy.nanmax(avg)*0.9
936
937 self.__isConfig = True
938
939 thisDatetime = dataOut.datatime
940 title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y"))
941 xlabel = "Velocity (m/s)"
942 ylabel = "Range (Km)"
943
944 self.setWinTitle(title)
945
946 for i in range(self.nplots):
947 title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
948 axes = self.axesList[i*self.__nsubplots]
949 z = avg[i].reshape((1,-1))
950 axes.pcolor(x, y, z,
951 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
952 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
953 ticksize=9, cblabel='', cbsize="1%")
954
955
956 self.draw()
957
958 if save:
959 date = thisDatetime.strftime("%Y%m%d")
960 if figfile == None:
961 figfile = self.getFilename(name = date)
962
963 self.saveFigure(figpath, figfile)
964
965 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
966 self.__isConfig = False
967 No newline at end of file
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@@ -347,6 +347,22 class VoltageProc(ProcessingUnit):
347 347
348 348 return 1
349 349
350
351 def filterByHeights(self, window):
352 deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
353
354 if window == None:
355 window = self.dataOut.radarControllerHeaderObj.txA / deltaHeight
356
357 newdelta = deltaHeight * window
358 r = self.dataOut.data.shape[1] % window
359 buffer = self.dataOut.data[:,0:self.dataOut.data.shape[1]-r]
360 buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1]/window,window)
361 buffer = numpy.average(buffer,2)
362 self.dataOut.data = buffer
363 self.dataOut.heightList = numpy.arange(self.dataOut.heightList[0],newdelta*self.dataOut.nHeights/window,newdelta)
364
365
350 366
351 367 class CohInt(Operation):
352 368
@@ -544,6 +560,7 class CohInt(Operation):
544 560 dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt
545 561 dataOut.flagNoData = False
546 562
563
547 564 class Decoder(Operation):
548 565
549 566 __isConfig = False
@@ -629,7 +646,7 class Decoder(Operation):
629 646
630 647 if mode == 1:
631 648 ndatadec, datadec = self.convolutionInTime(data)
632
649
633 650 dataOut.data = datadec
634 651
635 652 dataOut.heightList = dataOut.heightList[0:ndatadec+1]
@@ -638,7 +655,6 class Decoder(Operation):
638 655
639 656 # dataOut.flagDeflipData = True #asumo q la data no esta sin flip
640 657
641
642 658
643 659 class SpectraProc(ProcessingUnit):
644 660
@@ -1071,4 +1087,64 class IncohInt(Operation):
1071 1087 dataOut.utctime = avgdatatime
1072 1088 dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints
1073 1089 dataOut.flagNoData = False
1074 No newline at end of file
1090
1091 class ProfileSelector(Operation):
1092
1093 profileIndex = None
1094 # Tamanho total de los perfiles
1095 nProfiles = None
1096
1097 def __init__(self):
1098
1099 self.profileIndex = 0
1100
1101 def incIndex(self):
1102 self.profileIndex += 1
1103
1104 if self.profileIndex >= self.nProfiles:
1105 self.profileIndex = 0
1106
1107 def isProfileInRange(self, minIndex, maxIndex):
1108
1109 if self.profileIndex < minIndex:
1110 return False
1111
1112 if self.profileIndex > maxIndex:
1113 return False
1114
1115 return True
1116
1117 def isProfileInList(self, profileList):
1118
1119 if self.profileIndex not in profileList:
1120 return False
1121
1122 return True
1123
1124 def run(self, dataOut, profileList=None, profileRangeList=None):
1125
1126 self.nProfiles = dataOut.nProfiles
1127
1128 if profileList != None:
1129 if not(self.isProfileInList(profileList)):
1130 dataOut.flagNoData = True
1131 else:
1132 dataOut.flagNoData = False
1133 self.incIndex()
1134 return 1
1135
1136
1137 elif profileRangeList != None:
1138 minIndex = profileRangeList[0]
1139 maxIndex = profileRangeList[1]
1140 if not(self.isProfileInRange(minIndex, maxIndex)):
1141 dataOut.flagNoData = True
1142 else:
1143 dataOut.flagNoData = False
1144 self.incIndex()
1145 return 1
1146 else:
1147 raise ValueError, "ProfileSelector needs profileList or profileRangeList"
1148
1149 return 0
1150
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