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-1,1946
+1,1945
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import os
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import os
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import datetime
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import datetime
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import numpy
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import numpy
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import inspect
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from figure import Figure, isRealtime, isTimeInHourRange
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from figure import Figure, isRealtime, isTimeInHourRange
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from plotting_codes import *
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from plotting_codes import *
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class MomentsPlot(Figure):
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class MomentsPlot(Figure):
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isConfig = None
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isConfig = None
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__nsubplots = None
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__nsubplots = None
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WIDTHPROF = None
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WIDTHPROF = None
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HEIGHTPROF = None
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HEIGHTPROF = None
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PREFIX = 'prm'
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PREFIX = 'prm'
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def __init__(self, **kwargs):
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def __init__(self, **kwargs):
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Figure.__init__(self, **kwargs)
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Figure.__init__(self, **kwargs)
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self.isConfig = False
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self.isConfig = False
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self.__nsubplots = 1
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self.__nsubplots = 1
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self.WIDTH = 280
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self.WIDTH = 280
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self.HEIGHT = 250
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self.HEIGHT = 250
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self.WIDTHPROF = 120
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self.WIDTHPROF = 120
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self.HEIGHTPROF = 0
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self.HEIGHTPROF = 0
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self.counter_imagwr = 0
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self.counter_imagwr = 0
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self.PLOT_CODE = MOMENTS_CODE
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self.PLOT_CODE = MOMENTS_CODE
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self.FTP_WEI = None
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self.FTP_WEI = None
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self.EXP_CODE = None
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self.EXP_CODE = None
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self.SUB_EXP_CODE = None
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self.SUB_EXP_CODE = None
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self.PLOT_POS = None
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self.PLOT_POS = None
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def getSubplots(self):
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def getSubplots(self):
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ncol = int(numpy.sqrt(self.nplots)+0.9)
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ncol = int(numpy.sqrt(self.nplots)+0.9)
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nrow = int(self.nplots*1./ncol + 0.9)
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nrow = int(self.nplots*1./ncol + 0.9)
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return nrow, ncol
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return nrow, ncol
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def setup(self, id, nplots, wintitle, showprofile=True, show=True):
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def setup(self, id, nplots, wintitle, showprofile=True, show=True):
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self.__showprofile = showprofile
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self.__showprofile = showprofile
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self.nplots = nplots
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self.nplots = nplots
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ncolspan = 1
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ncolspan = 1
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colspan = 1
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colspan = 1
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if showprofile:
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if showprofile:
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ncolspan = 3
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ncolspan = 3
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colspan = 2
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colspan = 2
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self.__nsubplots = 2
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self.__nsubplots = 2
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self.createFigure(id = id,
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self.createFigure(id = id,
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wintitle = wintitle,
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wintitle = wintitle,
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widthplot = self.WIDTH + self.WIDTHPROF,
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widthplot = self.WIDTH + self.WIDTHPROF,
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heightplot = self.HEIGHT + self.HEIGHTPROF,
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heightplot = self.HEIGHT + self.HEIGHTPROF,
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show=show)
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show=show)
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nrow, ncol = self.getSubplots()
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nrow, ncol = self.getSubplots()
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counter = 0
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counter = 0
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for y in range(nrow):
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for y in range(nrow):
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for x in range(ncol):
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for x in range(ncol):
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if counter >= self.nplots:
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if counter >= self.nplots:
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break
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break
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self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
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self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
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if showprofile:
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if showprofile:
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self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
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self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
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counter += 1
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counter += 1
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def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
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def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
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xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
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xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
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save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
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save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
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server=None, folder=None, username=None, password=None,
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server=None, folder=None, username=None, password=None,
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ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
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ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
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"""
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"""
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Input:
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Input:
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dataOut :
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dataOut :
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id :
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id :
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wintitle :
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wintitle :
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channelList :
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channelList :
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showProfile :
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showProfile :
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xmin : None,
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xmin : None,
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xmax : None,
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xmax : None,
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ymin : None,
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ymin : None,
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ymax : None,
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ymax : None,
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zmin : None,
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zmin : None,
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zmax : None
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zmax : None
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"""
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"""
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if dataOut.flagNoData:
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if dataOut.flagNoData:
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return None
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return None
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if realtime:
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if realtime:
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if not(isRealtime(utcdatatime = dataOut.utctime)):
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if not(isRealtime(utcdatatime = dataOut.utctime)):
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print 'Skipping this plot function'
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print 'Skipping this plot function'
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return
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return
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if channelList == None:
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if channelList == None:
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channelIndexList = dataOut.channelIndexList
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channelIndexList = dataOut.channelIndexList
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else:
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else:
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channelIndexList = []
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channelIndexList = []
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for channel in channelList:
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for channel in channelList:
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if channel not in dataOut.channelList:
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if channel not in dataOut.channelList:
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raise ValueError, "Channel %d is not in dataOut.channelList"
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raise ValueError, "Channel %d is not in dataOut.channelList"
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channelIndexList.append(dataOut.channelList.index(channel))
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channelIndexList.append(dataOut.channelList.index(channel))
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factor = dataOut.normFactor
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factor = dataOut.normFactor
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x = dataOut.abscissaList
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x = dataOut.abscissaList
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y = dataOut.heightList
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y = dataOut.heightList
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z = dataOut.data_pre[channelIndexList,:,:]/factor
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z = dataOut.data_pre[channelIndexList,:,:]/factor
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z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
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z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
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avg = numpy.average(z, axis=1)
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avg = numpy.average(z, axis=1)
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noise = dataOut.noise/factor
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noise = dataOut.noise/factor
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zdB = 10*numpy.log10(z)
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zdB = 10*numpy.log10(z)
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avgdB = 10*numpy.log10(avg)
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avgdB = 10*numpy.log10(avg)
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noisedB = 10*numpy.log10(noise)
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noisedB = 10*numpy.log10(noise)
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#thisDatetime = dataOut.datatime
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#thisDatetime = dataOut.datatime
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thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
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thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
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title = wintitle + " Parameters"
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title = wintitle + " Parameters"
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xlabel = "Velocity (m/s)"
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xlabel = "Velocity (m/s)"
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ylabel = "Range (Km)"
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ylabel = "Range (Km)"
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update_figfile = False
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update_figfile = False
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if not self.isConfig:
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if not self.isConfig:
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nplots = len(channelIndexList)
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nplots = len(channelIndexList)
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self.setup(id=id,
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self.setup(id=id,
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nplots=nplots,
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nplots=nplots,
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wintitle=wintitle,
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wintitle=wintitle,
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showprofile=showprofile,
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showprofile=showprofile,
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show=show)
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show=show)
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if xmin == None: xmin = numpy.nanmin(x)
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if xmin == None: xmin = numpy.nanmin(x)
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if xmax == None: xmax = numpy.nanmax(x)
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if xmax == None: xmax = numpy.nanmax(x)
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if ymin == None: ymin = numpy.nanmin(y)
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if ymin == None: ymin = numpy.nanmin(y)
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if ymax == None: ymax = numpy.nanmax(y)
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if ymax == None: ymax = numpy.nanmax(y)
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if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
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if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
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if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
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if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
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self.FTP_WEI = ftp_wei
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self.FTP_WEI = ftp_wei
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self.EXP_CODE = exp_code
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self.EXP_CODE = exp_code
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self.SUB_EXP_CODE = sub_exp_code
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self.SUB_EXP_CODE = sub_exp_code
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self.PLOT_POS = plot_pos
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self.PLOT_POS = plot_pos
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self.isConfig = True
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self.isConfig = True
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update_figfile = True
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update_figfile = True
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self.setWinTitle(title)
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self.setWinTitle(title)
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for i in range(self.nplots):
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for i in range(self.nplots):
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str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
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str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
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title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
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title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
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axes = self.axesList[i*self.__nsubplots]
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axes = self.axesList[i*self.__nsubplots]
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axes.pcolor(x, y, zdB[i,:,:],
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axes.pcolor(x, y, zdB[i,:,:],
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xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
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xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
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xlabel=xlabel, ylabel=ylabel, title=title,
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xlabel=xlabel, ylabel=ylabel, title=title,
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ticksize=9, cblabel='')
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ticksize=9, cblabel='')
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#Mean Line
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#Mean Line
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mean = dataOut.data_param[i, 1, :]
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mean = dataOut.data_param[i, 1, :]
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axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
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axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
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if self.__showprofile:
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if self.__showprofile:
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axes = self.axesList[i*self.__nsubplots +1]
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axes = self.axesList[i*self.__nsubplots +1]
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axes.pline(avgdB[i], y,
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axes.pline(avgdB[i], y,
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xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
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xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
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xlabel='dB', ylabel='', title='',
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xlabel='dB', ylabel='', title='',
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ytick_visible=False,
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ytick_visible=False,
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grid='x')
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grid='x')
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noiseline = numpy.repeat(noisedB[i], len(y))
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noiseline = numpy.repeat(noisedB[i], len(y))
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axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
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axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
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self.draw()
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self.draw()
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self.save(figpath=figpath,
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self.save(figpath=figpath,
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figfile=figfile,
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figfile=figfile,
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save=save,
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save=save,
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ftp=ftp,
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ftp=ftp,
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wr_period=wr_period,
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wr_period=wr_period,
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thisDatetime=thisDatetime)
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thisDatetime=thisDatetime)
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class SkyMapPlot(Figure):
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class SkyMapPlot(Figure):
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__isConfig = None
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__isConfig = None
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__nsubplots = None
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__nsubplots = None
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WIDTHPROF = None
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WIDTHPROF = None
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HEIGHTPROF = None
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HEIGHTPROF = None
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PREFIX = 'mmap'
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PREFIX = 'mmap'
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def __init__(self, **kwargs):
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def __init__(self, **kwargs):
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Figure.__init__(self, **kwargs)
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Figure.__init__(self, **kwargs)
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self.isConfig = False
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self.isConfig = False
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self.__nsubplots = 1
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self.__nsubplots = 1
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# self.WIDTH = 280
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# self.WIDTH = 280
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# self.HEIGHT = 250
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# self.HEIGHT = 250
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self.WIDTH = 600
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self.WIDTH = 600
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self.HEIGHT = 600
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self.HEIGHT = 600
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self.WIDTHPROF = 120
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self.WIDTHPROF = 120
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self.HEIGHTPROF = 0
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self.HEIGHTPROF = 0
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self.counter_imagwr = 0
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self.counter_imagwr = 0
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self.PLOT_CODE = MSKYMAP_CODE
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self.PLOT_CODE = MSKYMAP_CODE
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self.FTP_WEI = None
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self.FTP_WEI = None
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self.EXP_CODE = None
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self.EXP_CODE = None
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self.SUB_EXP_CODE = None
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self.SUB_EXP_CODE = None
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self.PLOT_POS = None
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self.PLOT_POS = None
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def getSubplots(self):
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def getSubplots(self):
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ncol = int(numpy.sqrt(self.nplots)+0.9)
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ncol = int(numpy.sqrt(self.nplots)+0.9)
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nrow = int(self.nplots*1./ncol + 0.9)
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nrow = int(self.nplots*1./ncol + 0.9)
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231
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return nrow, ncol
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return nrow, ncol
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234
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def setup(self, id, nplots, wintitle, showprofile=False, show=True):
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234
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def setup(self, id, nplots, wintitle, showprofile=False, show=True):
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235
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235
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236
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self.__showprofile = showprofile
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236
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self.__showprofile = showprofile
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237
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self.nplots = nplots
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self.nplots = nplots
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238
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238
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239
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ncolspan = 1
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ncolspan = 1
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colspan = 1
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240
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colspan = 1
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241
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241
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242
|
self.createFigure(id = id,
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242
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self.createFigure(id = id,
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243
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wintitle = wintitle,
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243
|
wintitle = wintitle,
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244
|
widthplot = self.WIDTH, #+ self.WIDTHPROF,
|
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244
|
widthplot = self.WIDTH, #+ self.WIDTHPROF,
|
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245
|
heightplot = self.HEIGHT,# + self.HEIGHTPROF,
|
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245
|
heightplot = self.HEIGHT,# + self.HEIGHTPROF,
|
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246
|
show=show)
|
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246
|
show=show)
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247
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247
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|
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248
|
nrow, ncol = 1,1
|
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248
|
nrow, ncol = 1,1
|
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249
|
counter = 0
|
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249
|
counter = 0
|
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250
|
x = 0
|
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250
|
x = 0
|
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251
|
y = 0
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251
|
y = 0
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252
|
self.addAxes(1, 1, 0, 0, 1, 1, True)
|
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252
|
self.addAxes(1, 1, 0, 0, 1, 1, True)
|
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253
|
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253
|
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254
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
|
|
254
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
|
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|
255
|
tmin=0, tmax=24, timerange=None,
|
|
255
|
tmin=0, tmax=24, timerange=None,
|
|
|
256
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
256
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
|
257
|
server=None, folder=None, username=None, password=None,
|
|
257
|
server=None, folder=None, username=None, password=None,
|
|
|
258
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
|
|
258
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
|
|
|
259
|
|
|
259
|
|
|
|
260
|
"""
|
|
260
|
"""
|
|
|
261
|
|
|
261
|
|
|
|
262
|
Input:
|
|
262
|
Input:
|
|
|
263
|
dataOut :
|
|
263
|
dataOut :
|
|
|
264
|
id :
|
|
264
|
id :
|
|
|
265
|
wintitle :
|
|
265
|
wintitle :
|
|
|
266
|
channelList :
|
|
266
|
channelList :
|
|
|
267
|
showProfile :
|
|
267
|
showProfile :
|
|
|
268
|
xmin : None,
|
|
268
|
xmin : None,
|
|
|
269
|
xmax : None,
|
|
269
|
xmax : None,
|
|
|
270
|
ymin : None,
|
|
270
|
ymin : None,
|
|
|
271
|
ymax : None,
|
|
271
|
ymax : None,
|
|
|
272
|
zmin : None,
|
|
272
|
zmin : None,
|
|
|
273
|
zmax : None
|
|
273
|
zmax : None
|
|
|
274
|
"""
|
|
274
|
"""
|
|
|
275
|
|
|
275
|
|
|
|
276
|
arrayParameters = dataOut.data_param
|
|
276
|
arrayParameters = dataOut.data_param
|
|
|
277
|
error = arrayParameters[:,-1]
|
|
277
|
error = arrayParameters[:,-1]
|
|
|
278
|
indValid = numpy.where(error == 0)[0]
|
|
278
|
indValid = numpy.where(error == 0)[0]
|
|
|
279
|
finalMeteor = arrayParameters[indValid,:]
|
|
279
|
finalMeteor = arrayParameters[indValid,:]
|
|
|
280
|
finalAzimuth = finalMeteor[:,3]
|
|
280
|
finalAzimuth = finalMeteor[:,3]
|
|
|
281
|
finalZenith = finalMeteor[:,4]
|
|
281
|
finalZenith = finalMeteor[:,4]
|
|
|
282
|
|
|
282
|
|
|
|
283
|
x = finalAzimuth*numpy.pi/180
|
|
283
|
x = finalAzimuth*numpy.pi/180
|
|
|
284
|
y = finalZenith
|
|
284
|
y = finalZenith
|
|
|
285
|
x1 = [dataOut.ltctime, dataOut.ltctime]
|
|
285
|
x1 = [dataOut.ltctime, dataOut.ltctime]
|
|
|
286
|
|
|
286
|
|
|
|
287
|
#thisDatetime = dataOut.datatime
|
|
287
|
#thisDatetime = dataOut.datatime
|
|
|
288
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
288
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
|
289
|
title = wintitle + " Parameters"
|
|
289
|
title = wintitle + " Parameters"
|
|
|
290
|
xlabel = "Zonal Zenith Angle (deg) "
|
|
290
|
xlabel = "Zonal Zenith Angle (deg) "
|
|
|
291
|
ylabel = "Meridional Zenith Angle (deg)"
|
|
291
|
ylabel = "Meridional Zenith Angle (deg)"
|
|
|
292
|
update_figfile = False
|
|
292
|
update_figfile = False
|
|
|
293
|
|
|
293
|
|
|
|
294
|
if not self.isConfig:
|
|
294
|
if not self.isConfig:
|
|
|
295
|
|
|
295
|
|
|
|
296
|
nplots = 1
|
|
296
|
nplots = 1
|
|
|
297
|
|
|
297
|
|
|
|
298
|
self.setup(id=id,
|
|
298
|
self.setup(id=id,
|
|
|
299
|
nplots=nplots,
|
|
299
|
nplots=nplots,
|
|
|
300
|
wintitle=wintitle,
|
|
300
|
wintitle=wintitle,
|
|
|
301
|
showprofile=showprofile,
|
|
301
|
showprofile=showprofile,
|
|
|
302
|
show=show)
|
|
302
|
show=show)
|
|
|
303
|
|
|
303
|
|
|
|
304
|
if self.xmin is None and self.xmax is None:
|
|
304
|
if self.xmin is None and self.xmax is None:
|
|
|
305
|
self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange)
|
|
305
|
self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange)
|
|
|
306
|
|
|
306
|
|
|
|
307
|
if timerange != None:
|
|
307
|
if timerange != None:
|
|
|
308
|
self.timerange = timerange
|
|
308
|
self.timerange = timerange
|
|
|
309
|
else:
|
|
309
|
else:
|
|
|
310
|
self.timerange = self.xmax - self.xmin
|
|
310
|
self.timerange = self.xmax - self.xmin
|
|
|
311
|
|
|
311
|
|
|
|
312
|
self.FTP_WEI = ftp_wei
|
|
312
|
self.FTP_WEI = ftp_wei
|
|
|
313
|
self.EXP_CODE = exp_code
|
|
313
|
self.EXP_CODE = exp_code
|
|
|
314
|
self.SUB_EXP_CODE = sub_exp_code
|
|
314
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
315
|
self.PLOT_POS = plot_pos
|
|
315
|
self.PLOT_POS = plot_pos
|
|
|
316
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
316
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
317
|
self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
317
|
self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
|
318
|
self.isConfig = True
|
|
318
|
self.isConfig = True
|
|
|
319
|
update_figfile = True
|
|
319
|
update_figfile = True
|
|
|
320
|
|
|
320
|
|
|
|
321
|
self.setWinTitle(title)
|
|
321
|
self.setWinTitle(title)
|
|
|
322
|
|
|
322
|
|
|
|
323
|
i = 0
|
|
323
|
i = 0
|
|
|
324
|
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
324
|
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
|
325
|
|
|
325
|
|
|
|
326
|
axes = self.axesList[i*self.__nsubplots]
|
|
326
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
327
|
nevents = axes.x_buffer.shape[0] + x.shape[0]
|
|
327
|
nevents = axes.x_buffer.shape[0] + x.shape[0]
|
|
|
328
|
title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
|
|
328
|
title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
|
|
|
329
|
axes.polar(x, y,
|
|
329
|
axes.polar(x, y,
|
|
|
330
|
title=title, xlabel=xlabel, ylabel=ylabel,
|
|
330
|
title=title, xlabel=xlabel, ylabel=ylabel,
|
|
|
331
|
ticksize=9, cblabel='')
|
|
331
|
ticksize=9, cblabel='')
|
|
|
332
|
|
|
332
|
|
|
|
333
|
self.draw()
|
|
333
|
self.draw()
|
|
|
334
|
|
|
334
|
|
|
|
335
|
self.save(figpath=figpath,
|
|
335
|
self.save(figpath=figpath,
|
|
|
336
|
figfile=figfile,
|
|
336
|
figfile=figfile,
|
|
|
337
|
save=save,
|
|
337
|
save=save,
|
|
|
338
|
ftp=ftp,
|
|
338
|
ftp=ftp,
|
|
|
339
|
wr_period=wr_period,
|
|
339
|
wr_period=wr_period,
|
|
|
340
|
thisDatetime=thisDatetime,
|
|
340
|
thisDatetime=thisDatetime,
|
|
|
341
|
update_figfile=update_figfile)
|
|
341
|
update_figfile=update_figfile)
|
|
|
342
|
|
|
342
|
|
|
|
343
|
if dataOut.ltctime >= self.xmax:
|
|
343
|
if dataOut.ltctime >= self.xmax:
|
|
|
344
|
self.isConfigmagwr = wr_period
|
|
344
|
self.isConfigmagwr = wr_period
|
|
|
345
|
self.isConfig = False
|
|
345
|
self.isConfig = False
|
|
|
346
|
update_figfile = True
|
|
346
|
update_figfile = True
|
|
|
347
|
axes.__firsttime = True
|
|
347
|
axes.__firsttime = True
|
|
|
348
|
self.xmin += self.timerange
|
|
348
|
self.xmin += self.timerange
|
|
|
349
|
self.xmax += self.timerange
|
|
349
|
self.xmax += self.timerange
|
|
|
350
|
|
|
350
|
|
|
|
351
|
|
|
351
|
|
|
|
352
|
|
|
352
|
|
|
|
353
|
|
|
353
|
|
|
|
354
|
class WindProfilerPlot(Figure):
|
|
354
|
class WindProfilerPlot(Figure):
|
|
|
355
|
|
|
355
|
|
|
|
356
|
__isConfig = None
|
|
356
|
__isConfig = None
|
|
|
357
|
__nsubplots = None
|
|
357
|
__nsubplots = None
|
|
|
358
|
|
|
358
|
|
|
|
359
|
WIDTHPROF = None
|
|
359
|
WIDTHPROF = None
|
|
|
360
|
HEIGHTPROF = None
|
|
360
|
HEIGHTPROF = None
|
|
|
361
|
PREFIX = 'wind'
|
|
361
|
PREFIX = 'wind'
|
|
|
362
|
|
|
362
|
|
|
|
363
|
def __init__(self, **kwargs):
|
|
363
|
def __init__(self, **kwargs):
|
|
|
364
|
Figure.__init__(self, **kwargs)
|
|
364
|
Figure.__init__(self, **kwargs)
|
|
|
365
|
self.timerange = None
|
|
365
|
self.timerange = None
|
|
|
366
|
self.isConfig = False
|
|
366
|
self.isConfig = False
|
|
|
367
|
self.__nsubplots = 1
|
|
367
|
self.__nsubplots = 1
|
|
|
368
|
|
|
368
|
|
|
|
369
|
self.WIDTH = 800
|
|
369
|
self.WIDTH = 800
|
|
|
370
|
self.HEIGHT = 300
|
|
370
|
self.HEIGHT = 300
|
|
|
371
|
self.WIDTHPROF = 120
|
|
371
|
self.WIDTHPROF = 120
|
|
|
372
|
self.HEIGHTPROF = 0
|
|
372
|
self.HEIGHTPROF = 0
|
|
|
373
|
self.counter_imagwr = 0
|
|
373
|
self.counter_imagwr = 0
|
|
|
374
|
|
|
374
|
|
|
|
375
|
self.PLOT_CODE = WIND_CODE
|
|
375
|
self.PLOT_CODE = WIND_CODE
|
|
|
376
|
|
|
376
|
|
|
|
377
|
self.FTP_WEI = None
|
|
377
|
self.FTP_WEI = None
|
|
|
378
|
self.EXP_CODE = None
|
|
378
|
self.EXP_CODE = None
|
|
|
379
|
self.SUB_EXP_CODE = None
|
|
379
|
self.SUB_EXP_CODE = None
|
|
|
380
|
self.PLOT_POS = None
|
|
380
|
self.PLOT_POS = None
|
|
|
381
|
self.tmin = None
|
|
381
|
self.tmin = None
|
|
|
382
|
self.tmax = None
|
|
382
|
self.tmax = None
|
|
|
383
|
|
|
383
|
|
|
|
384
|
self.xmin = None
|
|
384
|
self.xmin = None
|
|
|
385
|
self.xmax = None
|
|
385
|
self.xmax = None
|
|
|
386
|
|
|
386
|
|
|
|
387
|
self.figfile = None
|
|
387
|
self.figfile = None
|
|
|
388
|
|
|
388
|
|
|
|
389
|
def getSubplots(self):
|
|
389
|
def getSubplots(self):
|
|
|
390
|
|
|
390
|
|
|
|
391
|
ncol = 1
|
|
391
|
ncol = 1
|
|
|
392
|
nrow = self.nplots
|
|
392
|
nrow = self.nplots
|
|
|
393
|
|
|
393
|
|
|
|
394
|
return nrow, ncol
|
|
394
|
return nrow, ncol
|
|
|
395
|
|
|
395
|
|
|
|
396
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
396
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
|
397
|
|
|
397
|
|
|
|
398
|
self.__showprofile = showprofile
|
|
398
|
self.__showprofile = showprofile
|
|
|
399
|
self.nplots = nplots
|
|
399
|
self.nplots = nplots
|
|
|
400
|
|
|
400
|
|
|
|
401
|
ncolspan = 1
|
|
401
|
ncolspan = 1
|
|
|
402
|
colspan = 1
|
|
402
|
colspan = 1
|
|
|
403
|
|
|
403
|
|
|
|
404
|
self.createFigure(id = id,
|
|
404
|
self.createFigure(id = id,
|
|
|
405
|
wintitle = wintitle,
|
|
405
|
wintitle = wintitle,
|
|
|
406
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
406
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
407
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
407
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
408
|
show=show)
|
|
408
|
show=show)
|
|
|
409
|
|
|
409
|
|
|
|
410
|
nrow, ncol = self.getSubplots()
|
|
410
|
nrow, ncol = self.getSubplots()
|
|
|
411
|
|
|
411
|
|
|
|
412
|
counter = 0
|
|
412
|
counter = 0
|
|
|
413
|
for y in range(nrow):
|
|
413
|
for y in range(nrow):
|
|
|
414
|
if counter >= self.nplots:
|
|
414
|
if counter >= self.nplots:
|
|
|
415
|
break
|
|
415
|
break
|
|
|
416
|
|
|
416
|
|
|
|
417
|
self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
|
|
417
|
self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
|
|
|
418
|
counter += 1
|
|
418
|
counter += 1
|
|
|
419
|
|
|
419
|
|
|
|
420
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False',
|
|
420
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False',
|
|
|
421
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
|
|
421
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
|
|
|
422
|
zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
|
|
422
|
zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
|
|
|
423
|
timerange=None, SNRthresh = None,
|
|
423
|
timerange=None, SNRthresh = None,
|
|
|
424
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
424
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
|
425
|
server=None, folder=None, username=None, password=None,
|
|
425
|
server=None, folder=None, username=None, password=None,
|
|
|
426
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
426
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
|
427
|
"""
|
|
427
|
"""
|
|
|
428
|
|
|
428
|
|
|
|
429
|
Input:
|
|
429
|
Input:
|
|
|
430
|
dataOut :
|
|
430
|
dataOut :
|
|
|
431
|
id :
|
|
431
|
id :
|
|
|
432
|
wintitle :
|
|
432
|
wintitle :
|
|
|
433
|
channelList :
|
|
433
|
channelList :
|
|
|
434
|
showProfile :
|
|
434
|
showProfile :
|
|
|
435
|
xmin : None,
|
|
435
|
xmin : None,
|
|
|
436
|
xmax : None,
|
|
436
|
xmax : None,
|
|
|
437
|
ymin : None,
|
|
437
|
ymin : None,
|
|
|
438
|
ymax : None,
|
|
438
|
ymax : None,
|
|
|
439
|
zmin : None,
|
|
439
|
zmin : None,
|
|
|
440
|
zmax : None
|
|
440
|
zmax : None
|
|
|
441
|
"""
|
|
441
|
"""
|
|
|
442
|
|
|
442
|
|
|
|
443
|
# if timerange is not None:
|
|
443
|
# if timerange is not None:
|
|
|
444
|
# self.timerange = timerange
|
|
444
|
# self.timerange = timerange
|
|
|
445
|
#
|
|
445
|
#
|
|
|
446
|
# tmin = None
|
|
446
|
# tmin = None
|
|
|
447
|
# tmax = None
|
|
447
|
# tmax = None
|
|
|
448
|
|
|
448
|
|
|
|
449
|
|
|
449
|
|
|
|
450
|
x = dataOut.getTimeRange1(dataOut.outputInterval)
|
|
450
|
x = dataOut.getTimeRange1(dataOut.outputInterval)
|
|
|
451
|
y = dataOut.heightList
|
|
451
|
y = dataOut.heightList
|
|
|
452
|
z = dataOut.data_output.copy()
|
|
452
|
z = dataOut.data_output.copy()
|
|
|
453
|
nplots = z.shape[0] #Number of wind dimensions estimated
|
|
453
|
nplots = z.shape[0] #Number of wind dimensions estimated
|
|
|
454
|
nplotsw = nplots
|
|
454
|
nplotsw = nplots
|
|
|
455
|
|
|
455
|
|
|
|
456
|
|
|
456
|
|
|
|
457
|
#If there is a SNR function defined
|
|
457
|
#If there is a SNR function defined
|
|
|
458
|
if dataOut.data_SNR is not None:
|
|
458
|
if dataOut.data_SNR is not None:
|
|
|
459
|
nplots += 1
|
|
459
|
nplots += 1
|
|
|
460
|
SNR = dataOut.data_SNR
|
|
460
|
SNR = dataOut.data_SNR
|
|
|
461
|
SNRavg = numpy.average(SNR, axis=0)
|
|
461
|
SNRavg = numpy.average(SNR, axis=0)
|
|
|
462
|
|
|
462
|
|
|
|
463
|
SNRdB = 10*numpy.log10(SNR)
|
|
463
|
SNRdB = 10*numpy.log10(SNR)
|
|
|
464
|
SNRavgdB = 10*numpy.log10(SNRavg)
|
|
464
|
SNRavgdB = 10*numpy.log10(SNRavg)
|
|
|
465
|
|
|
465
|
|
|
|
466
|
if SNRthresh == None: SNRthresh = -5.0
|
|
466
|
if SNRthresh == None: SNRthresh = -5.0
|
|
|
467
|
ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
|
|
467
|
ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
|
|
|
468
|
|
|
468
|
|
|
|
469
|
for i in range(nplotsw):
|
|
469
|
for i in range(nplotsw):
|
|
|
470
|
z[i,ind] = numpy.nan
|
|
470
|
z[i,ind] = numpy.nan
|
|
|
471
|
|
|
471
|
|
|
|
472
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
472
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
|
473
|
#thisDatetime = datetime.datetime.now()
|
|
473
|
#thisDatetime = datetime.datetime.now()
|
|
|
474
|
title = wintitle + "Wind"
|
|
474
|
title = wintitle + "Wind"
|
|
|
475
|
xlabel = ""
|
|
475
|
xlabel = ""
|
|
|
476
|
ylabel = "Height (km)"
|
|
476
|
ylabel = "Height (km)"
|
|
|
477
|
update_figfile = False
|
|
477
|
update_figfile = False
|
|
|
478
|
|
|
478
|
|
|
|
479
|
if not self.isConfig:
|
|
479
|
if not self.isConfig:
|
|
|
480
|
|
|
480
|
|
|
|
481
|
self.setup(id=id,
|
|
481
|
self.setup(id=id,
|
|
|
482
|
nplots=nplots,
|
|
482
|
nplots=nplots,
|
|
|
483
|
wintitle=wintitle,
|
|
483
|
wintitle=wintitle,
|
|
|
484
|
showprofile=showprofile,
|
|
484
|
showprofile=showprofile,
|
|
|
485
|
show=show)
|
|
485
|
show=show)
|
|
|
486
|
|
|
486
|
|
|
|
487
|
if timerange is not None:
|
|
487
|
if timerange is not None:
|
|
|
488
|
self.timerange = timerange
|
|
488
|
self.timerange = timerange
|
|
|
489
|
|
|
489
|
|
|
|
490
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
490
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
|
491
|
|
|
491
|
|
|
|
492
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
492
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
|
493
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
493
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
|
494
|
|
|
494
|
|
|
|
495
|
if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
|
|
495
|
if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
|
|
|
496
|
#if numpy.isnan(zmax): zmax = 50
|
|
496
|
#if numpy.isnan(zmax): zmax = 50
|
|
|
497
|
if zmin == None: zmin = -zmax
|
|
497
|
if zmin == None: zmin = -zmax
|
|
|
498
|
|
|
498
|
|
|
|
499
|
if nplotsw == 3:
|
|
499
|
if nplotsw == 3:
|
|
|
500
|
if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
|
|
500
|
if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
|
|
|
501
|
if zmin_ver == None: zmin_ver = -zmax_ver
|
|
501
|
if zmin_ver == None: zmin_ver = -zmax_ver
|
|
|
502
|
|
|
502
|
|
|
|
503
|
if dataOut.data_SNR is not None:
|
|
503
|
if dataOut.data_SNR is not None:
|
|
|
504
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
|
|
504
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
|
|
|
505
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
|
|
505
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
|
|
|
506
|
|
|
506
|
|
|
|
507
|
|
|
507
|
|
|
|
508
|
self.FTP_WEI = ftp_wei
|
|
508
|
self.FTP_WEI = ftp_wei
|
|
|
509
|
self.EXP_CODE = exp_code
|
|
509
|
self.EXP_CODE = exp_code
|
|
|
510
|
self.SUB_EXP_CODE = sub_exp_code
|
|
510
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
511
|
self.PLOT_POS = plot_pos
|
|
511
|
self.PLOT_POS = plot_pos
|
|
|
512
|
|
|
512
|
|
|
|
513
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
513
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
514
|
self.isConfig = True
|
|
514
|
self.isConfig = True
|
|
|
515
|
self.figfile = figfile
|
|
515
|
self.figfile = figfile
|
|
|
516
|
update_figfile = True
|
|
516
|
update_figfile = True
|
|
|
517
|
|
|
517
|
|
|
|
518
|
self.setWinTitle(title)
|
|
518
|
self.setWinTitle(title)
|
|
|
519
|
|
|
519
|
|
|
|
520
|
if ((self.xmax - x[1]) < (x[1]-x[0])):
|
|
520
|
if ((self.xmax - x[1]) < (x[1]-x[0])):
|
|
|
521
|
x[1] = self.xmax
|
|
521
|
x[1] = self.xmax
|
|
|
522
|
|
|
522
|
|
|
|
523
|
strWind = ['Zonal', 'Meridional', 'Vertical']
|
|
523
|
strWind = ['Zonal', 'Meridional', 'Vertical']
|
|
|
524
|
strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
|
|
524
|
strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
|
|
|
525
|
zmaxVector = [zmax, zmax, zmax_ver]
|
|
525
|
zmaxVector = [zmax, zmax, zmax_ver]
|
|
|
526
|
zminVector = [zmin, zmin, zmin_ver]
|
|
526
|
zminVector = [zmin, zmin, zmin_ver]
|
|
|
527
|
windFactor = [1,1,100]
|
|
527
|
windFactor = [1,1,100]
|
|
|
528
|
|
|
528
|
|
|
|
529
|
for i in range(nplotsw):
|
|
529
|
for i in range(nplotsw):
|
|
|
530
|
|
|
530
|
|
|
|
531
|
title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
531
|
title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
532
|
axes = self.axesList[i*self.__nsubplots]
|
|
532
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
533
|
|
|
533
|
|
|
|
534
|
z1 = z[i,:].reshape((1,-1))*windFactor[i]
|
|
534
|
z1 = z[i,:].reshape((1,-1))*windFactor[i]
|
|
|
535
|
#z1=numpy.ma.masked_where(z1==0.,z1)
|
|
535
|
#z1=numpy.ma.masked_where(z1==0.,z1)
|
|
|
536
|
|
|
536
|
|
|
|
537
|
axes.pcolorbuffer(x, y, z1,
|
|
537
|
axes.pcolorbuffer(x, y, z1,
|
|
|
538
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
|
|
538
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
|
|
|
539
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
539
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
|
540
|
ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" )
|
|
540
|
ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" )
|
|
|
541
|
|
|
541
|
|
|
|
542
|
if dataOut.data_SNR is not None:
|
|
542
|
if dataOut.data_SNR is not None:
|
|
|
543
|
i += 1
|
|
543
|
i += 1
|
|
|
544
|
title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
544
|
title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
545
|
axes = self.axesList[i*self.__nsubplots]
|
|
545
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
546
|
SNRavgdB = SNRavgdB.reshape((1,-1))
|
|
546
|
SNRavgdB = SNRavgdB.reshape((1,-1))
|
|
|
547
|
axes.pcolorbuffer(x, y, SNRavgdB,
|
|
547
|
axes.pcolorbuffer(x, y, SNRavgdB,
|
|
|
548
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
548
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
|
549
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
549
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
|
550
|
ticksize=9, cblabel='', cbsize="1%", colormap="jet")
|
|
550
|
ticksize=9, cblabel='', cbsize="1%", colormap="jet")
|
|
|
551
|
|
|
551
|
|
|
|
552
|
self.draw()
|
|
552
|
self.draw()
|
|
|
553
|
|
|
553
|
|
|
|
554
|
self.save(figpath=figpath,
|
|
554
|
self.save(figpath=figpath,
|
|
|
555
|
figfile=figfile,
|
|
555
|
figfile=figfile,
|
|
|
556
|
save=save,
|
|
556
|
save=save,
|
|
|
557
|
ftp=ftp,
|
|
557
|
ftp=ftp,
|
|
|
558
|
wr_period=wr_period,
|
|
558
|
wr_period=wr_period,
|
|
|
559
|
thisDatetime=thisDatetime,
|
|
559
|
thisDatetime=thisDatetime,
|
|
|
560
|
update_figfile=update_figfile)
|
|
560
|
update_figfile=update_figfile)
|
|
|
561
|
|
|
561
|
|
|
|
562
|
if dataOut.ltctime + dataOut.outputInterval >= self.xmax:
|
|
562
|
if dataOut.ltctime + dataOut.outputInterval >= self.xmax:
|
|
|
563
|
self.counter_imagwr = wr_period
|
|
563
|
self.counter_imagwr = wr_period
|
|
|
564
|
self.isConfig = False
|
|
564
|
self.isConfig = False
|
|
|
565
|
update_figfile = True
|
|
565
|
update_figfile = True
|
|
|
566
|
|
|
566
|
|
|
|
567
|
|
|
567
|
|
|
|
568
|
class ParametersPlot(Figure):
|
|
568
|
class ParametersPlot(Figure):
|
|
|
569
|
|
|
569
|
|
|
|
570
|
__isConfig = None
|
|
570
|
__isConfig = None
|
|
|
571
|
__nsubplots = None
|
|
571
|
__nsubplots = None
|
|
|
572
|
|
|
572
|
|
|
|
573
|
WIDTHPROF = None
|
|
573
|
WIDTHPROF = None
|
|
|
574
|
HEIGHTPROF = None
|
|
574
|
HEIGHTPROF = None
|
|
|
575
|
PREFIX = 'param'
|
|
575
|
PREFIX = 'param'
|
|
|
576
|
|
|
576
|
|
|
|
577
|
nplots = None
|
|
577
|
nplots = None
|
|
|
578
|
nchan = None
|
|
578
|
nchan = None
|
|
|
579
|
|
|
579
|
|
|
|
580
|
def __init__(self, **kwargs):
|
|
580
|
def __init__(self, **kwargs):
|
|
|
581
|
Figure.__init__(self, **kwargs)
|
|
581
|
Figure.__init__(self, **kwargs)
|
|
|
582
|
self.timerange = None
|
|
582
|
self.timerange = None
|
|
|
583
|
self.isConfig = False
|
|
583
|
self.isConfig = False
|
|
|
584
|
self.__nsubplots = 1
|
|
584
|
self.__nsubplots = 1
|
|
|
585
|
|
|
585
|
|
|
|
586
|
self.WIDTH = 800
|
|
586
|
self.WIDTH = 800
|
|
|
587
|
self.HEIGHT = 180
|
|
587
|
self.HEIGHT = 180
|
|
|
588
|
self.WIDTHPROF = 120
|
|
588
|
self.WIDTHPROF = 120
|
|
|
589
|
self.HEIGHTPROF = 0
|
|
589
|
self.HEIGHTPROF = 0
|
|
|
590
|
self.counter_imagwr = 0
|
|
590
|
self.counter_imagwr = 0
|
|
|
591
|
|
|
591
|
|
|
|
592
|
self.PLOT_CODE = RTI_CODE
|
|
592
|
self.PLOT_CODE = RTI_CODE
|
|
|
593
|
|
|
593
|
|
|
|
594
|
self.FTP_WEI = None
|
|
594
|
self.FTP_WEI = None
|
|
|
595
|
self.EXP_CODE = None
|
|
595
|
self.EXP_CODE = None
|
|
|
596
|
self.SUB_EXP_CODE = None
|
|
596
|
self.SUB_EXP_CODE = None
|
|
|
597
|
self.PLOT_POS = None
|
|
597
|
self.PLOT_POS = None
|
|
|
598
|
self.tmin = None
|
|
598
|
self.tmin = None
|
|
|
599
|
self.tmax = None
|
|
599
|
self.tmax = None
|
|
|
600
|
|
|
600
|
|
|
|
601
|
self.xmin = None
|
|
601
|
self.xmin = None
|
|
|
602
|
self.xmax = None
|
|
602
|
self.xmax = None
|
|
|
603
|
|
|
603
|
|
|
|
604
|
self.figfile = None
|
|
604
|
self.figfile = None
|
|
|
605
|
|
|
605
|
|
|
|
606
|
def getSubplots(self):
|
|
606
|
def getSubplots(self):
|
|
|
607
|
|
|
607
|
|
|
|
608
|
ncol = 1
|
|
608
|
ncol = 1
|
|
|
609
|
nrow = self.nplots
|
|
609
|
nrow = self.nplots
|
|
|
610
|
|
|
610
|
|
|
|
611
|
return nrow, ncol
|
|
611
|
return nrow, ncol
|
|
|
612
|
|
|
612
|
|
|
|
613
|
def setup(self, id, nplots, wintitle, show=True):
|
|
613
|
def setup(self, id, nplots, wintitle, show=True):
|
|
|
614
|
|
|
614
|
|
|
|
615
|
self.nplots = nplots
|
|
615
|
self.nplots = nplots
|
|
|
616
|
|
|
616
|
|
|
|
617
|
ncolspan = 1
|
|
617
|
ncolspan = 1
|
|
|
618
|
colspan = 1
|
|
618
|
colspan = 1
|
|
|
619
|
|
|
619
|
|
|
|
620
|
self.createFigure(id = id,
|
|
620
|
self.createFigure(id = id,
|
|
|
621
|
wintitle = wintitle,
|
|
621
|
wintitle = wintitle,
|
|
|
622
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
622
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
623
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
623
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
624
|
show=show)
|
|
624
|
show=show)
|
|
|
625
|
|
|
625
|
|
|
|
626
|
nrow, ncol = self.getSubplots()
|
|
626
|
nrow, ncol = self.getSubplots()
|
|
|
627
|
|
|
627
|
|
|
|
628
|
counter = 0
|
|
628
|
counter = 0
|
|
|
629
|
for y in range(nrow):
|
|
629
|
for y in range(nrow):
|
|
|
630
|
for x in range(ncol):
|
|
630
|
for x in range(ncol):
|
|
|
631
|
|
|
631
|
|
|
|
632
|
if counter >= self.nplots:
|
|
632
|
if counter >= self.nplots:
|
|
|
633
|
break
|
|
633
|
break
|
|
|
634
|
|
|
634
|
|
|
|
635
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
635
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
|
636
|
|
|
636
|
|
|
|
637
|
counter += 1
|
|
637
|
counter += 1
|
|
|
638
|
|
|
638
|
|
|
|
639
|
def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap=True,
|
|
639
|
def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap=True,
|
|
|
640
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None,
|
|
640
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None,
|
|
|
641
|
showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None,
|
|
641
|
showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None,
|
|
|
642
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
642
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
|
643
|
server=None, folder=None, username=None, password=None,
|
|
643
|
server=None, folder=None, username=None, password=None,
|
|
|
644
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
644
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
|
645
|
|
|
|
|
|
|
646
|
"""
|
|
645
|
"""
|
|
|
647
|
|
|
646
|
|
|
|
648
|
Input:
|
|
647
|
Input:
|
|
|
649
|
dataOut :
|
|
648
|
dataOut :
|
|
|
650
|
id :
|
|
649
|
id :
|
|
|
651
|
wintitle :
|
|
650
|
wintitle :
|
|
|
652
|
channelList :
|
|
651
|
channelList :
|
|
|
653
|
showProfile :
|
|
652
|
showProfile :
|
|
|
654
|
xmin : None,
|
|
653
|
xmin : None,
|
|
|
655
|
xmax : None,
|
|
654
|
xmax : None,
|
|
|
656
|
ymin : None,
|
|
655
|
ymin : None,
|
|
|
657
|
ymax : None,
|
|
656
|
ymax : None,
|
|
|
658
|
zmin : None,
|
|
657
|
zmin : None,
|
|
|
659
|
zmax : None
|
|
658
|
zmax : None
|
|
|
660
|
"""
|
|
659
|
"""
|
|
|
661
|
|
|
660
|
|
|
|
662
|
if colormap:
|
|
661
|
if colormap:
|
|
|
663
|
colormap="jet"
|
|
662
|
colormap="jet"
|
|
|
664
|
else:
|
|
663
|
else:
|
|
|
665
|
colormap="RdBu_r"
|
|
664
|
colormap="RdBu_r"
|
|
|
666
|
|
|
665
|
|
|
|
667
|
if not isTimeInHourRange(dataOut.datatime, xmin, xmax):
|
|
666
|
if not isTimeInHourRange(dataOut.datatime, xmin, xmax):
|
|
|
668
|
return
|
|
667
|
return
|
|
|
669
|
|
|
668
|
|
|
|
670
|
if channelList == None:
|
|
669
|
if channelList == None:
|
|
|
671
|
channelIndexList = range(dataOut.data_param.shape[0])
|
|
670
|
channelIndexList = range(dataOut.data_param.shape[0])
|
|
|
672
|
else:
|
|
671
|
else:
|
|
|
673
|
channelIndexList = []
|
|
672
|
channelIndexList = []
|
|
|
674
|
for channel in channelList:
|
|
673
|
for channel in channelList:
|
|
|
675
|
if channel not in dataOut.channelList:
|
|
674
|
if channel not in dataOut.channelList:
|
|
|
676
|
raise ValueError, "Channel %d is not in dataOut.channelList"
|
|
675
|
raise ValueError, "Channel %d is not in dataOut.channelList"
|
|
|
677
|
channelIndexList.append(dataOut.channelList.index(channel))
|
|
676
|
channelIndexList.append(dataOut.channelList.index(channel))
|
|
|
678
|
|
|
677
|
|
|
|
679
|
x = dataOut.getTimeRange1(dataOut.paramInterval)
|
|
678
|
x = dataOut.getTimeRange1(dataOut.paramInterval)
|
|
|
680
|
y = dataOut.getHeiRange()
|
|
679
|
y = dataOut.getHeiRange()
|
|
|
681
|
|
|
680
|
|
|
|
682
|
if dataOut.data_param.ndim == 3:
|
|
681
|
if dataOut.data_param.ndim == 3:
|
|
|
683
|
z = dataOut.data_param[channelIndexList,paramIndex,:]
|
|
682
|
z = dataOut.data_param[channelIndexList,paramIndex,:]
|
|
|
684
|
else:
|
|
683
|
else:
|
|
|
685
|
z = dataOut.data_param[channelIndexList,:]
|
|
684
|
z = dataOut.data_param[channelIndexList,:]
|
|
|
686
|
|
|
685
|
|
|
|
687
|
if showSNR:
|
|
686
|
if showSNR:
|
|
|
688
|
#SNR data
|
|
687
|
#SNR data
|
|
|
689
|
SNRarray = dataOut.data_SNR[channelIndexList,:]
|
|
688
|
SNRarray = dataOut.data_SNR[channelIndexList,:]
|
|
|
690
|
SNRdB = 10*numpy.log10(SNRarray)
|
|
689
|
SNRdB = 10*numpy.log10(SNRarray)
|
|
|
691
|
ind = numpy.where(SNRdB < SNRthresh)
|
|
690
|
ind = numpy.where(SNRdB < SNRthresh)
|
|
|
692
|
z[ind] = numpy.nan
|
|
691
|
z[ind] = numpy.nan
|
|
|
693
|
|
|
692
|
|
|
|
694
|
thisDatetime = dataOut.datatime
|
|
693
|
thisDatetime = dataOut.datatime
|
|
|
695
|
# thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
|
|
694
|
# thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
|
|
|
696
|
title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
695
|
title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
|
697
|
xlabel = ""
|
|
696
|
xlabel = ""
|
|
|
698
|
ylabel = "Range (Km)"
|
|
697
|
ylabel = "Range (Km)"
|
|
|
699
|
|
|
698
|
|
|
|
700
|
update_figfile = False
|
|
699
|
update_figfile = False
|
|
|
701
|
|
|
700
|
|
|
|
702
|
if not self.isConfig:
|
|
701
|
if not self.isConfig:
|
|
|
703
|
|
|
702
|
|
|
|
704
|
nchan = len(channelIndexList)
|
|
703
|
nchan = len(channelIndexList)
|
|
|
705
|
self.nchan = nchan
|
|
704
|
self.nchan = nchan
|
|
|
706
|
self.plotFact = 1
|
|
705
|
self.plotFact = 1
|
|
|
707
|
nplots = nchan
|
|
706
|
nplots = nchan
|
|
|
708
|
|
|
707
|
|
|
|
709
|
if showSNR:
|
|
708
|
if showSNR:
|
|
|
710
|
nplots = nchan*2
|
|
709
|
nplots = nchan*2
|
|
|
711
|
self.plotFact = 2
|
|
710
|
self.plotFact = 2
|
|
|
712
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
|
|
711
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
|
|
|
713
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
|
|
712
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
|
|
|
714
|
|
|
713
|
|
|
|
715
|
self.setup(id=id,
|
|
714
|
self.setup(id=id,
|
|
|
716
|
nplots=nplots,
|
|
715
|
nplots=nplots,
|
|
|
717
|
wintitle=wintitle,
|
|
716
|
wintitle=wintitle,
|
|
|
718
|
show=show)
|
|
717
|
show=show)
|
|
|
719
|
|
|
718
|
|
|
|
720
|
if timerange != None:
|
|
719
|
if timerange != None:
|
|
|
721
|
self.timerange = timerange
|
|
720
|
self.timerange = timerange
|
|
|
722
|
|
|
721
|
|
|
|
723
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
722
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
|
724
|
|
|
723
|
|
|
|
725
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
724
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
|
726
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
725
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
|
727
|
if zmin == None: zmin = numpy.nanmin(z)
|
|
726
|
if zmin == None: zmin = numpy.nanmin(z)
|
|
|
728
|
if zmax == None: zmax = numpy.nanmax(z)
|
|
727
|
if zmax == None: zmax = numpy.nanmax(z)
|
|
|
729
|
|
|
728
|
|
|
|
730
|
self.FTP_WEI = ftp_wei
|
|
729
|
self.FTP_WEI = ftp_wei
|
|
|
731
|
self.EXP_CODE = exp_code
|
|
730
|
self.EXP_CODE = exp_code
|
|
|
732
|
self.SUB_EXP_CODE = sub_exp_code
|
|
731
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
733
|
self.PLOT_POS = plot_pos
|
|
732
|
self.PLOT_POS = plot_pos
|
|
|
734
|
|
|
733
|
|
|
|
735
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
734
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
736
|
self.isConfig = True
|
|
735
|
self.isConfig = True
|
|
|
737
|
self.figfile = figfile
|
|
736
|
self.figfile = figfile
|
|
|
738
|
update_figfile = True
|
|
737
|
update_figfile = True
|
|
|
739
|
|
|
738
|
|
|
|
740
|
self.setWinTitle(title)
|
|
739
|
self.setWinTitle(title)
|
|
|
741
|
|
|
740
|
|
|
|
742
|
for i in range(self.nchan):
|
|
741
|
for i in range(self.nchan):
|
|
|
743
|
index = channelIndexList[i]
|
|
742
|
index = channelIndexList[i]
|
|
|
744
|
title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
743
|
title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
745
|
axes = self.axesList[i*self.plotFact]
|
|
744
|
axes = self.axesList[i*self.plotFact]
|
|
|
746
|
z1 = z[i,:].reshape((1,-1))
|
|
745
|
z1 = z[i,:].reshape((1,-1))
|
|
|
747
|
axes.pcolorbuffer(x, y, z1,
|
|
746
|
axes.pcolorbuffer(x, y, z1,
|
|
|
748
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
|
|
747
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
|
|
|
749
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
748
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
|
750
|
ticksize=9, cblabel='', cbsize="1%",colormap=colormap)
|
|
749
|
ticksize=9, cblabel='', cbsize="1%",colormap=colormap)
|
|
|
751
|
|
|
750
|
|
|
|
752
|
if showSNR:
|
|
751
|
if showSNR:
|
|
|
753
|
title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
752
|
title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
754
|
axes = self.axesList[i*self.plotFact + 1]
|
|
753
|
axes = self.axesList[i*self.plotFact + 1]
|
|
|
755
|
SNRdB1 = SNRdB[i,:].reshape((1,-1))
|
|
754
|
SNRdB1 = SNRdB[i,:].reshape((1,-1))
|
|
|
756
|
axes.pcolorbuffer(x, y, SNRdB1,
|
|
755
|
axes.pcolorbuffer(x, y, SNRdB1,
|
|
|
757
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
756
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
|
758
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
757
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
|
759
|
ticksize=9, cblabel='', cbsize="1%",colormap='jet')
|
|
758
|
ticksize=9, cblabel='', cbsize="1%",colormap='jet')
|
|
|
760
|
|
|
759
|
|
|
|
761
|
|
|
760
|
|
|
|
762
|
self.draw()
|
|
761
|
self.draw()
|
|
|
763
|
|
|
762
|
|
|
|
764
|
if dataOut.ltctime >= self.xmax:
|
|
763
|
if dataOut.ltctime >= self.xmax:
|
|
|
765
|
self.counter_imagwr = wr_period
|
|
764
|
self.counter_imagwr = wr_period
|
|
|
766
|
self.isConfig = False
|
|
765
|
self.isConfig = False
|
|
|
767
|
update_figfile = True
|
|
766
|
update_figfile = True
|
|
|
768
|
|
|
767
|
|
|
|
769
|
self.save(figpath=figpath,
|
|
768
|
self.save(figpath=figpath,
|
|
|
770
|
figfile=figfile,
|
|
769
|
figfile=figfile,
|
|
|
771
|
save=save,
|
|
770
|
save=save,
|
|
|
772
|
ftp=ftp,
|
|
771
|
ftp=ftp,
|
|
|
773
|
wr_period=wr_period,
|
|
772
|
wr_period=wr_period,
|
|
|
774
|
thisDatetime=thisDatetime,
|
|
773
|
thisDatetime=thisDatetime,
|
|
|
775
|
update_figfile=update_figfile)
|
|
774
|
update_figfile=update_figfile)
|
|
|
776
|
|
|
775
|
|
|
|
777
|
|
|
776
|
|
|
|
778
|
|
|
777
|
|
|
|
779
|
class Parameters1Plot(Figure):
|
|
778
|
class Parameters1Plot(Figure):
|
|
|
780
|
|
|
779
|
|
|
|
781
|
__isConfig = None
|
|
780
|
__isConfig = None
|
|
|
782
|
__nsubplots = None
|
|
781
|
__nsubplots = None
|
|
|
783
|
|
|
782
|
|
|
|
784
|
WIDTHPROF = None
|
|
783
|
WIDTHPROF = None
|
|
|
785
|
HEIGHTPROF = None
|
|
784
|
HEIGHTPROF = None
|
|
|
786
|
PREFIX = 'prm'
|
|
785
|
PREFIX = 'prm'
|
|
|
787
|
|
|
786
|
|
|
|
788
|
def __init__(self, **kwargs):
|
|
787
|
def __init__(self, **kwargs):
|
|
|
789
|
Figure.__init__(self, **kwargs)
|
|
788
|
Figure.__init__(self, **kwargs)
|
|
|
790
|
self.timerange = 2*60*60
|
|
789
|
self.timerange = 2*60*60
|
|
|
791
|
self.isConfig = False
|
|
790
|
self.isConfig = False
|
|
|
792
|
self.__nsubplots = 1
|
|
791
|
self.__nsubplots = 1
|
|
|
793
|
|
|
792
|
|
|
|
794
|
self.WIDTH = 800
|
|
793
|
self.WIDTH = 800
|
|
|
795
|
self.HEIGHT = 150
|
|
794
|
self.HEIGHT = 180
|
|
|
796
|
self.WIDTHPROF = 120
|
|
795
|
self.WIDTHPROF = 120
|
|
|
797
|
self.HEIGHTPROF = 0
|
|
796
|
self.HEIGHTPROF = 0
|
|
|
798
|
self.counter_imagwr = 0
|
|
797
|
self.counter_imagwr = 0
|
|
|
799
|
|
|
798
|
|
|
|
800
|
self.PLOT_CODE = PARMS_CODE
|
|
799
|
self.PLOT_CODE = PARMS_CODE
|
|
|
801
|
|
|
800
|
|
|
|
802
|
self.FTP_WEI = None
|
|
801
|
self.FTP_WEI = None
|
|
|
803
|
self.EXP_CODE = None
|
|
802
|
self.EXP_CODE = None
|
|
|
804
|
self.SUB_EXP_CODE = None
|
|
803
|
self.SUB_EXP_CODE = None
|
|
|
805
|
self.PLOT_POS = None
|
|
804
|
self.PLOT_POS = None
|
|
|
806
|
self.tmin = None
|
|
805
|
self.tmin = None
|
|
|
807
|
self.tmax = None
|
|
806
|
self.tmax = None
|
|
|
808
|
|
|
807
|
|
|
|
809
|
self.xmin = None
|
|
808
|
self.xmin = None
|
|
|
810
|
self.xmax = None
|
|
809
|
self.xmax = None
|
|
|
811
|
|
|
810
|
|
|
|
812
|
self.figfile = None
|
|
811
|
self.figfile = None
|
|
|
813
|
|
|
812
|
|
|
|
814
|
def getSubplots(self):
|
|
813
|
def getSubplots(self):
|
|
|
815
|
|
|
814
|
|
|
|
816
|
ncol = 1
|
|
815
|
ncol = 1
|
|
|
817
|
nrow = self.nplots
|
|
816
|
nrow = self.nplots
|
|
|
818
|
|
|
817
|
|
|
|
819
|
return nrow, ncol
|
|
818
|
return nrow, ncol
|
|
|
820
|
|
|
819
|
|
|
|
821
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
820
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
|
822
|
|
|
821
|
|
|
|
823
|
self.__showprofile = showprofile
|
|
822
|
self.__showprofile = showprofile
|
|
|
824
|
self.nplots = nplots
|
|
823
|
self.nplots = nplots
|
|
|
825
|
|
|
824
|
|
|
|
826
|
ncolspan = 1
|
|
825
|
ncolspan = 1
|
|
|
827
|
colspan = 1
|
|
826
|
colspan = 1
|
|
|
828
|
|
|
827
|
|
|
|
829
|
self.createFigure(id = id,
|
|
828
|
self.createFigure(id = id,
|
|
|
830
|
wintitle = wintitle,
|
|
829
|
wintitle = wintitle,
|
|
|
831
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
830
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
832
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
831
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
833
|
show=show)
|
|
832
|
show=show)
|
|
|
834
|
|
|
833
|
|
|
|
835
|
nrow, ncol = self.getSubplots()
|
|
834
|
nrow, ncol = self.getSubplots()
|
|
|
836
|
|
|
835
|
|
|
|
837
|
counter = 0
|
|
836
|
counter = 0
|
|
|
838
|
for y in range(nrow):
|
|
837
|
for y in range(nrow):
|
|
|
839
|
for x in range(ncol):
|
|
838
|
for x in range(ncol):
|
|
|
840
|
|
|
839
|
|
|
|
841
|
if counter >= self.nplots:
|
|
840
|
if counter >= self.nplots:
|
|
|
842
|
break
|
|
841
|
break
|
|
|
843
|
|
|
842
|
|
|
|
844
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
843
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
|
845
|
|
|
844
|
|
|
|
846
|
if showprofile:
|
|
845
|
if showprofile:
|
|
|
847
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
|
|
846
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
|
|
|
848
|
|
|
847
|
|
|
|
849
|
counter += 1
|
|
848
|
counter += 1
|
|
|
850
|
|
|
849
|
|
|
|
851
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
|
|
850
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
|
|
|
852
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
|
|
851
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
|
|
|
853
|
parameterIndex = None, onlyPositive = False,
|
|
852
|
parameterIndex = None, onlyPositive = False,
|
|
|
854
|
SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False,
|
|
853
|
SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False,
|
|
|
855
|
DOP = True,
|
|
854
|
DOP = True,
|
|
|
856
|
zlabel = "", parameterName = "", parameterObject = "data_param",
|
|
855
|
zlabel = "", parameterName = "", parameterObject = "data_param",
|
|
|
857
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
856
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
|
858
|
server=None, folder=None, username=None, password=None,
|
|
857
|
server=None, folder=None, username=None, password=None,
|
|
|
859
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
858
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
|
860
|
|
|
859
|
#print inspect.getargspec(self.run).args
|
|
|
861
|
"""
|
|
860
|
"""
|
|
|
862
|
|
|
861
|
|
|
|
863
|
Input:
|
|
862
|
Input:
|
|
|
864
|
dataOut :
|
|
863
|
dataOut :
|
|
|
865
|
id :
|
|
864
|
id :
|
|
|
866
|
wintitle :
|
|
865
|
wintitle :
|
|
|
867
|
channelList :
|
|
866
|
channelList :
|
|
|
868
|
showProfile :
|
|
867
|
showProfile :
|
|
|
869
|
xmin : None,
|
|
868
|
xmin : None,
|
|
|
870
|
xmax : None,
|
|
869
|
xmax : None,
|
|
|
871
|
ymin : None,
|
|
870
|
ymin : None,
|
|
|
872
|
ymax : None,
|
|
871
|
ymax : None,
|
|
|
873
|
zmin : None,
|
|
872
|
zmin : None,
|
|
|
874
|
zmax : None
|
|
873
|
zmax : None
|
|
|
875
|
"""
|
|
874
|
"""
|
|
|
876
|
|
|
875
|
|
|
|
877
|
data_param = getattr(dataOut, parameterObject)
|
|
876
|
data_param = getattr(dataOut, parameterObject)
|
|
|
878
|
|
|
877
|
|
|
|
879
|
if channelList == None:
|
|
878
|
if channelList == None:
|
|
|
880
|
channelIndexList = numpy.arange(data_param.shape[0])
|
|
879
|
channelIndexList = numpy.arange(data_param.shape[0])
|
|
|
881
|
else:
|
|
880
|
else:
|
|
|
882
|
channelIndexList = numpy.array(channelList)
|
|
881
|
channelIndexList = numpy.array(channelList)
|
|
|
883
|
|
|
882
|
|
|
|
884
|
nchan = len(channelIndexList) #Number of channels being plotted
|
|
883
|
nchan = len(channelIndexList) #Number of channels being plotted
|
|
|
885
|
|
|
884
|
|
|
|
886
|
if nchan < 1:
|
|
885
|
if nchan < 1:
|
|
|
887
|
return
|
|
886
|
return
|
|
|
888
|
|
|
887
|
|
|
|
889
|
nGraphsByChannel = 0
|
|
888
|
nGraphsByChannel = 0
|
|
|
890
|
|
|
889
|
|
|
|
891
|
if SNR:
|
|
890
|
if SNR:
|
|
|
892
|
nGraphsByChannel += 1
|
|
891
|
nGraphsByChannel += 1
|
|
|
893
|
if DOP:
|
|
892
|
if DOP:
|
|
|
894
|
nGraphsByChannel += 1
|
|
893
|
nGraphsByChannel += 1
|
|
|
895
|
|
|
894
|
|
|
|
896
|
if nGraphsByChannel < 1:
|
|
895
|
if nGraphsByChannel < 1:
|
|
|
897
|
return
|
|
896
|
return
|
|
|
898
|
|
|
897
|
|
|
|
899
|
nplots = nGraphsByChannel*nchan
|
|
898
|
nplots = nGraphsByChannel*nchan
|
|
|
900
|
|
|
899
|
|
|
|
901
|
if timerange is not None:
|
|
900
|
if timerange is not None:
|
|
|
902
|
self.timerange = timerange
|
|
901
|
self.timerange = timerange
|
|
|
903
|
|
|
902
|
|
|
|
904
|
#tmin = None
|
|
903
|
#tmin = None
|
|
|
905
|
#tmax = None
|
|
904
|
#tmax = None
|
|
|
906
|
if parameterIndex == None:
|
|
905
|
if parameterIndex == None:
|
|
|
907
|
parameterIndex = 1
|
|
906
|
parameterIndex = 1
|
|
|
908
|
|
|
907
|
|
|
|
909
|
x = dataOut.getTimeRange1(dataOut.paramInterval)
|
|
908
|
x = dataOut.getTimeRange1(dataOut.paramInterval)
|
|
|
910
|
y = dataOut.heightList
|
|
909
|
y = dataOut.heightList
|
|
|
911
|
z = data_param[channelIndexList,parameterIndex,:].copy()
|
|
910
|
z = data_param[channelIndexList,parameterIndex,:].copy()
|
|
|
912
|
|
|
911
|
|
|
|
913
|
zRange = dataOut.abscissaList
|
|
912
|
zRange = dataOut.abscissaList
|
|
|
914
|
# nChannels = z.shape[0] #Number of wind dimensions estimated
|
|
913
|
# nChannels = z.shape[0] #Number of wind dimensions estimated
|
|
|
915
|
# thisDatetime = dataOut.datatime
|
|
914
|
# thisDatetime = dataOut.datatime
|
|
|
916
|
|
|
915
|
|
|
|
917
|
if dataOut.data_SNR is not None:
|
|
916
|
if dataOut.data_SNR is not None:
|
|
|
918
|
SNRarray = dataOut.data_SNR[channelIndexList,:]
|
|
917
|
SNRarray = dataOut.data_SNR[channelIndexList,:]
|
|
|
919
|
SNRdB = 10*numpy.log10(SNRarray)
|
|
918
|
SNRdB = 10*numpy.log10(SNRarray)
|
|
|
920
|
# SNRavgdB = 10*numpy.log10(SNRavg)
|
|
919
|
# SNRavgdB = 10*numpy.log10(SNRavg)
|
|
|
921
|
ind = numpy.where(SNRdB < 10**(SNRthresh/10))
|
|
920
|
ind = numpy.where(SNRdB < 10**(SNRthresh/10))
|
|
|
922
|
z[ind] = numpy.nan
|
|
921
|
z[ind] = numpy.nan
|
|
|
923
|
|
|
922
|
|
|
|
924
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
|
|
923
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
|
|
|
925
|
title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
924
|
title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
|
926
|
xlabel = ""
|
|
925
|
xlabel = ""
|
|
|
927
|
ylabel = "Range (Km)"
|
|
926
|
ylabel = "Range (Km)"
|
|
|
928
|
|
|
927
|
|
|
|
929
|
if (SNR and not onlySNR): nplots = 2*nplots
|
|
928
|
if (SNR and not onlySNR): nplots = 2*nplots
|
|
|
930
|
|
|
929
|
|
|
|
931
|
if onlyPositive:
|
|
930
|
if onlyPositive:
|
|
|
932
|
colormap = "jet"
|
|
931
|
colormap = "jet"
|
|
|
933
|
zmin = 0
|
|
932
|
zmin = 0
|
|
|
934
|
else: colormap = "RdBu_r"
|
|
933
|
else: colormap = "RdBu_r"
|
|
|
935
|
|
|
934
|
|
|
|
936
|
if not self.isConfig:
|
|
935
|
if not self.isConfig:
|
|
|
937
|
|
|
936
|
|
|
|
938
|
self.setup(id=id,
|
|
937
|
self.setup(id=id,
|
|
|
939
|
nplots=nplots,
|
|
938
|
nplots=nplots,
|
|
|
940
|
wintitle=wintitle,
|
|
939
|
wintitle=wintitle,
|
|
|
941
|
showprofile=showprofile,
|
|
940
|
showprofile=showprofile,
|
|
|
942
|
show=show)
|
|
941
|
show=show)
|
|
|
943
|
|
|
942
|
|
|
|
944
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
943
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
|
945
|
|
|
944
|
|
|
|
946
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
945
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
|
947
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
946
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
|
948
|
if zmin == None: zmin = numpy.nanmin(zRange)
|
|
947
|
if zmin == None: zmin = numpy.nanmin(zRange)
|
|
|
949
|
if zmax == None: zmax = numpy.nanmax(zRange)
|
|
948
|
if zmax == None: zmax = numpy.nanmax(zRange)
|
|
|
950
|
|
|
949
|
|
|
|
951
|
if SNR:
|
|
950
|
if SNR:
|
|
|
952
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
|
|
951
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
|
|
|
953
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
|
|
952
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
|
|
|
954
|
|
|
953
|
|
|
|
955
|
self.FTP_WEI = ftp_wei
|
|
954
|
self.FTP_WEI = ftp_wei
|
|
|
956
|
self.EXP_CODE = exp_code
|
|
955
|
self.EXP_CODE = exp_code
|
|
|
957
|
self.SUB_EXP_CODE = sub_exp_code
|
|
956
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
958
|
self.PLOT_POS = plot_pos
|
|
957
|
self.PLOT_POS = plot_pos
|
|
|
959
|
|
|
958
|
|
|
|
960
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
959
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
961
|
self.isConfig = True
|
|
960
|
self.isConfig = True
|
|
|
962
|
self.figfile = figfile
|
|
961
|
self.figfile = figfile
|
|
|
963
|
|
|
962
|
|
|
|
964
|
self.setWinTitle(title)
|
|
963
|
self.setWinTitle(title)
|
|
|
965
|
|
|
964
|
|
|
|
966
|
if ((self.xmax - x[1]) < (x[1]-x[0])):
|
|
965
|
if ((self.xmax - x[1]) < (x[1]-x[0])):
|
|
|
967
|
x[1] = self.xmax
|
|
966
|
x[1] = self.xmax
|
|
|
968
|
|
|
967
|
|
|
|
969
|
for i in range(nchan):
|
|
968
|
for i in range(nchan):
|
|
|
970
|
|
|
969
|
|
|
|
971
|
if (SNR and not onlySNR): j = 2*i
|
|
970
|
if (SNR and not onlySNR): j = 2*i
|
|
|
972
|
else: j = i
|
|
971
|
else: j = i
|
|
|
973
|
|
|
972
|
|
|
|
974
|
j = nGraphsByChannel*i
|
|
973
|
j = nGraphsByChannel*i
|
|
|
975
|
|
|
974
|
|
|
|
976
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
975
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
|
977
|
title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
|
|
976
|
title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
|
|
|
978
|
|
|
977
|
|
|
|
979
|
if not onlySNR:
|
|
978
|
if not onlySNR:
|
|
|
980
|
axes = self.axesList[j*self.__nsubplots]
|
|
979
|
axes = self.axesList[j*self.__nsubplots]
|
|
|
981
|
z1 = z[i,:].reshape((1,-1))
|
|
980
|
z1 = z[i,:].reshape((1,-1))
|
|
|
982
|
axes.pcolorbuffer(x, y, z1,
|
|
981
|
axes.pcolorbuffer(x, y, z1,
|
|
|
983
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
|
|
982
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
|
|
|
984
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
|
|
983
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
|
|
|
985
|
ticksize=9, cblabel=zlabel, cbsize="1%")
|
|
984
|
ticksize=9, cblabel=zlabel, cbsize="1%")
|
|
|
986
|
|
|
985
|
|
|
|
987
|
if DOP:
|
|
986
|
if DOP:
|
|
|
988
|
title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
987
|
title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
989
|
|
|
988
|
|
|
|
990
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
989
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
|
991
|
title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
|
|
990
|
title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
|
|
|
992
|
axes = self.axesList[j]
|
|
991
|
axes = self.axesList[j]
|
|
|
993
|
z1 = z[i,:].reshape((1,-1))
|
|
992
|
z1 = z[i,:].reshape((1,-1))
|
|
|
994
|
axes.pcolorbuffer(x, y, z1,
|
|
993
|
axes.pcolorbuffer(x, y, z1,
|
|
|
995
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
|
|
994
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
|
|
|
996
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
|
|
995
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
|
|
|
997
|
ticksize=9, cblabel=zlabel, cbsize="1%")
|
|
996
|
ticksize=9, cblabel=zlabel, cbsize="1%")
|
|
|
998
|
|
|
997
|
|
|
|
999
|
if SNR:
|
|
998
|
if SNR:
|
|
|
1000
|
title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
999
|
title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
1001
|
axes = self.axesList[(j)*self.__nsubplots]
|
|
1000
|
axes = self.axesList[(j)*self.__nsubplots]
|
|
|
1002
|
if not onlySNR:
|
|
1001
|
if not onlySNR:
|
|
|
1003
|
axes = self.axesList[(j + 1)*self.__nsubplots]
|
|
1002
|
axes = self.axesList[(j + 1)*self.__nsubplots]
|
|
|
1004
|
|
|
1003
|
|
|
|
1005
|
axes = self.axesList[(j + nGraphsByChannel-1)]
|
|
1004
|
axes = self.axesList[(j + nGraphsByChannel-1)]
|
|
|
1006
|
|
|
1005
|
|
|
|
1007
|
z1 = SNRdB[i,:].reshape((1,-1))
|
|
1006
|
z1 = SNRdB[i,:].reshape((1,-1))
|
|
|
1008
|
axes.pcolorbuffer(x, y, z1,
|
|
1007
|
axes.pcolorbuffer(x, y, z1,
|
|
|
1009
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
1008
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
|
1010
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
|
|
1009
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
|
|
|
1011
|
ticksize=9, cblabel=zlabel, cbsize="1%")
|
|
1010
|
ticksize=9, cblabel=zlabel, cbsize="1%")
|
|
|
1012
|
|
|
1011
|
|
|
|
1013
|
|
|
1012
|
|
|
|
1014
|
|
|
1013
|
|
|
|
1015
|
self.draw()
|
|
1014
|
self.draw()
|
|
|
1016
|
|
|
1015
|
|
|
|
1017
|
if x[1] >= self.axesList[0].xmax:
|
|
1016
|
if x[1] >= self.axesList[0].xmax:
|
|
|
1018
|
self.counter_imagwr = wr_period
|
|
1017
|
self.counter_imagwr = wr_period
|
|
|
1019
|
self.isConfig = False
|
|
1018
|
self.isConfig = False
|
|
|
1020
|
self.figfile = None
|
|
1019
|
self.figfile = None
|
|
|
1021
|
|
|
1020
|
|
|
|
1022
|
self.save(figpath=figpath,
|
|
1021
|
self.save(figpath=figpath,
|
|
|
1023
|
figfile=figfile,
|
|
1022
|
figfile=figfile,
|
|
|
1024
|
save=save,
|
|
1023
|
save=save,
|
|
|
1025
|
ftp=ftp,
|
|
1024
|
ftp=ftp,
|
|
|
1026
|
wr_period=wr_period,
|
|
1025
|
wr_period=wr_period,
|
|
|
1027
|
thisDatetime=thisDatetime,
|
|
1026
|
thisDatetime=thisDatetime,
|
|
|
1028
|
update_figfile=False)
|
|
1027
|
update_figfile=False)
|
|
|
1029
|
|
|
1028
|
|
|
|
1030
|
class SpectralFittingPlot(Figure):
|
|
1029
|
class SpectralFittingPlot(Figure):
|
|
|
1031
|
|
|
1030
|
|
|
|
1032
|
__isConfig = None
|
|
1031
|
__isConfig = None
|
|
|
1033
|
__nsubplots = None
|
|
1032
|
__nsubplots = None
|
|
|
1034
|
|
|
1033
|
|
|
|
1035
|
WIDTHPROF = None
|
|
1034
|
WIDTHPROF = None
|
|
|
1036
|
HEIGHTPROF = None
|
|
1035
|
HEIGHTPROF = None
|
|
|
1037
|
PREFIX = 'prm'
|
|
1036
|
PREFIX = 'prm'
|
|
|
1038
|
|
|
1037
|
|
|
|
1039
|
|
|
1038
|
|
|
|
1040
|
N = None
|
|
1039
|
N = None
|
|
|
1041
|
ippSeconds = None
|
|
1040
|
ippSeconds = None
|
|
|
1042
|
|
|
1041
|
|
|
|
1043
|
def __init__(self, **kwargs):
|
|
1042
|
def __init__(self, **kwargs):
|
|
|
1044
|
Figure.__init__(self, **kwargs)
|
|
1043
|
Figure.__init__(self, **kwargs)
|
|
|
1045
|
self.isConfig = False
|
|
1044
|
self.isConfig = False
|
|
|
1046
|
self.__nsubplots = 1
|
|
1045
|
self.__nsubplots = 1
|
|
|
1047
|
|
|
1046
|
|
|
|
1048
|
self.PLOT_CODE = SPECFIT_CODE
|
|
1047
|
self.PLOT_CODE = SPECFIT_CODE
|
|
|
1049
|
|
|
1048
|
|
|
|
1050
|
self.WIDTH = 450
|
|
1049
|
self.WIDTH = 450
|
|
|
1051
|
self.HEIGHT = 250
|
|
1050
|
self.HEIGHT = 250
|
|
|
1052
|
self.WIDTHPROF = 0
|
|
1051
|
self.WIDTHPROF = 0
|
|
|
1053
|
self.HEIGHTPROF = 0
|
|
1052
|
self.HEIGHTPROF = 0
|
|
|
1054
|
|
|
1053
|
|
|
|
1055
|
def getSubplots(self):
|
|
1054
|
def getSubplots(self):
|
|
|
1056
|
|
|
1055
|
|
|
|
1057
|
ncol = int(numpy.sqrt(self.nplots)+0.9)
|
|
1056
|
ncol = int(numpy.sqrt(self.nplots)+0.9)
|
|
|
1058
|
nrow = int(self.nplots*1./ncol + 0.9)
|
|
1057
|
nrow = int(self.nplots*1./ncol + 0.9)
|
|
|
1059
|
|
|
1058
|
|
|
|
1060
|
return nrow, ncol
|
|
1059
|
return nrow, ncol
|
|
|
1061
|
|
|
1060
|
|
|
|
1062
|
def setup(self, id, nplots, wintitle, showprofile=False, show=True):
|
|
1061
|
def setup(self, id, nplots, wintitle, showprofile=False, show=True):
|
|
|
1063
|
|
|
1062
|
|
|
|
1064
|
showprofile = False
|
|
1063
|
showprofile = False
|
|
|
1065
|
self.__showprofile = showprofile
|
|
1064
|
self.__showprofile = showprofile
|
|
|
1066
|
self.nplots = nplots
|
|
1065
|
self.nplots = nplots
|
|
|
1067
|
|
|
1066
|
|
|
|
1068
|
ncolspan = 5
|
|
1067
|
ncolspan = 5
|
|
|
1069
|
colspan = 4
|
|
1068
|
colspan = 4
|
|
|
1070
|
if showprofile:
|
|
1069
|
if showprofile:
|
|
|
1071
|
ncolspan = 5
|
|
1070
|
ncolspan = 5
|
|
|
1072
|
colspan = 4
|
|
1071
|
colspan = 4
|
|
|
1073
|
self.__nsubplots = 2
|
|
1072
|
self.__nsubplots = 2
|
|
|
1074
|
|
|
1073
|
|
|
|
1075
|
self.createFigure(id = id,
|
|
1074
|
self.createFigure(id = id,
|
|
|
1076
|
wintitle = wintitle,
|
|
1075
|
wintitle = wintitle,
|
|
|
1077
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
1076
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
1078
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
1077
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
1079
|
show=show)
|
|
1078
|
show=show)
|
|
|
1080
|
|
|
1079
|
|
|
|
1081
|
nrow, ncol = self.getSubplots()
|
|
1080
|
nrow, ncol = self.getSubplots()
|
|
|
1082
|
|
|
1081
|
|
|
|
1083
|
counter = 0
|
|
1082
|
counter = 0
|
|
|
1084
|
for y in range(nrow):
|
|
1083
|
for y in range(nrow):
|
|
|
1085
|
for x in range(ncol):
|
|
1084
|
for x in range(ncol):
|
|
|
1086
|
|
|
1085
|
|
|
|
1087
|
if counter >= self.nplots:
|
|
1086
|
if counter >= self.nplots:
|
|
|
1088
|
break
|
|
1087
|
break
|
|
|
1089
|
|
|
1088
|
|
|
|
1090
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
1089
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
|
1091
|
|
|
1090
|
|
|
|
1092
|
if showprofile:
|
|
1091
|
if showprofile:
|
|
|
1093
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
|
|
1092
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
|
|
|
1094
|
|
|
1093
|
|
|
|
1095
|
counter += 1
|
|
1094
|
counter += 1
|
|
|
1096
|
|
|
1095
|
|
|
|
1097
|
def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
|
|
1096
|
def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
|
|
|
1098
|
xmin=None, xmax=None, ymin=None, ymax=None,
|
|
1097
|
xmin=None, xmax=None, ymin=None, ymax=None,
|
|
|
1099
|
save=False, figpath='./', figfile=None, show=True):
|
|
1098
|
save=False, figpath='./', figfile=None, show=True):
|
|
|
1100
|
|
|
1099
|
|
|
|
1101
|
"""
|
|
1100
|
"""
|
|
|
1102
|
|
|
1101
|
|
|
|
1103
|
Input:
|
|
1102
|
Input:
|
|
|
1104
|
dataOut :
|
|
1103
|
dataOut :
|
|
|
1105
|
id :
|
|
1104
|
id :
|
|
|
1106
|
wintitle :
|
|
1105
|
wintitle :
|
|
|
1107
|
channelList :
|
|
1106
|
channelList :
|
|
|
1108
|
showProfile :
|
|
1107
|
showProfile :
|
|
|
1109
|
xmin : None,
|
|
1108
|
xmin : None,
|
|
|
1110
|
xmax : None,
|
|
1109
|
xmax : None,
|
|
|
1111
|
zmin : None,
|
|
1110
|
zmin : None,
|
|
|
1112
|
zmax : None
|
|
1111
|
zmax : None
|
|
|
1113
|
"""
|
|
1112
|
"""
|
|
|
1114
|
|
|
1113
|
|
|
|
1115
|
if cutHeight==None:
|
|
1114
|
if cutHeight==None:
|
|
|
1116
|
h=270
|
|
1115
|
h=270
|
|
|
1117
|
heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
|
|
1116
|
heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
|
|
|
1118
|
cutHeight = dataOut.heightList[heightindex]
|
|
1117
|
cutHeight = dataOut.heightList[heightindex]
|
|
|
1119
|
|
|
1118
|
|
|
|
1120
|
factor = dataOut.normFactor
|
|
1119
|
factor = dataOut.normFactor
|
|
|
1121
|
x = dataOut.abscissaList[:-1]
|
|
1120
|
x = dataOut.abscissaList[:-1]
|
|
|
1122
|
#y = dataOut.getHeiRange()
|
|
1121
|
#y = dataOut.getHeiRange()
|
|
|
1123
|
|
|
1122
|
|
|
|
1124
|
z = dataOut.data_pre[:,:,heightindex]/factor
|
|
1123
|
z = dataOut.data_pre[:,:,heightindex]/factor
|
|
|
1125
|
z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
|
|
1124
|
z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
|
|
|
1126
|
avg = numpy.average(z, axis=1)
|
|
1125
|
avg = numpy.average(z, axis=1)
|
|
|
1127
|
listChannels = z.shape[0]
|
|
1126
|
listChannels = z.shape[0]
|
|
|
1128
|
|
|
1127
|
|
|
|
1129
|
#Reconstruct Function
|
|
1128
|
#Reconstruct Function
|
|
|
1130
|
if fit==True:
|
|
1129
|
if fit==True:
|
|
|
1131
|
groupArray = dataOut.groupList
|
|
1130
|
groupArray = dataOut.groupList
|
|
|
1132
|
listChannels = groupArray.reshape((groupArray.size))
|
|
1131
|
listChannels = groupArray.reshape((groupArray.size))
|
|
|
1133
|
listChannels.sort()
|
|
1132
|
listChannels.sort()
|
|
|
1134
|
spcFitLine = numpy.zeros(z.shape)
|
|
1133
|
spcFitLine = numpy.zeros(z.shape)
|
|
|
1135
|
constants = dataOut.constants
|
|
1134
|
constants = dataOut.constants
|
|
|
1136
|
|
|
1135
|
|
|
|
1137
|
nGroups = groupArray.shape[0]
|
|
1136
|
nGroups = groupArray.shape[0]
|
|
|
1138
|
nChannels = groupArray.shape[1]
|
|
1137
|
nChannels = groupArray.shape[1]
|
|
|
1139
|
nProfiles = z.shape[1]
|
|
1138
|
nProfiles = z.shape[1]
|
|
|
1140
|
|
|
1139
|
|
|
|
1141
|
for f in range(nGroups):
|
|
1140
|
for f in range(nGroups):
|
|
|
1142
|
groupChann = groupArray[f,:]
|
|
1141
|
groupChann = groupArray[f,:]
|
|
|
1143
|
p = dataOut.data_param[f,:,heightindex]
|
|
1142
|
p = dataOut.data_param[f,:,heightindex]
|
|
|
1144
|
# p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
|
|
1143
|
# p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
|
|
|
1145
|
fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
|
|
1144
|
fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
|
|
|
1146
|
fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
|
|
1145
|
fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
|
|
|
1147
|
spcFitLine[groupChann,:] = fitLineAux
|
|
1146
|
spcFitLine[groupChann,:] = fitLineAux
|
|
|
1148
|
# spcFitLine = spcFitLine/factor
|
|
1147
|
# spcFitLine = spcFitLine/factor
|
|
|
1149
|
|
|
1148
|
|
|
|
1150
|
z = z[listChannels,:]
|
|
1149
|
z = z[listChannels,:]
|
|
|
1151
|
spcFitLine = spcFitLine[listChannels,:]
|
|
1150
|
spcFitLine = spcFitLine[listChannels,:]
|
|
|
1152
|
spcFitLinedB = 10*numpy.log10(spcFitLine)
|
|
1151
|
spcFitLinedB = 10*numpy.log10(spcFitLine)
|
|
|
1153
|
|
|
1152
|
|
|
|
1154
|
zdB = 10*numpy.log10(z)
|
|
1153
|
zdB = 10*numpy.log10(z)
|
|
|
1155
|
#thisDatetime = dataOut.datatime
|
|
1154
|
#thisDatetime = dataOut.datatime
|
|
|
1156
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
|
|
1155
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
|
|
|
1157
|
title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
|
|
1156
|
title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
|
|
|
1158
|
xlabel = "Velocity (m/s)"
|
|
1157
|
xlabel = "Velocity (m/s)"
|
|
|
1159
|
ylabel = "Spectrum"
|
|
1158
|
ylabel = "Spectrum"
|
|
|
1160
|
|
|
1159
|
|
|
|
1161
|
if not self.isConfig:
|
|
1160
|
if not self.isConfig:
|
|
|
1162
|
|
|
1161
|
|
|
|
1163
|
nplots = listChannels.size
|
|
1162
|
nplots = listChannels.size
|
|
|
1164
|
|
|
1163
|
|
|
|
1165
|
self.setup(id=id,
|
|
1164
|
self.setup(id=id,
|
|
|
1166
|
nplots=nplots,
|
|
1165
|
nplots=nplots,
|
|
|
1167
|
wintitle=wintitle,
|
|
1166
|
wintitle=wintitle,
|
|
|
1168
|
showprofile=showprofile,
|
|
1167
|
showprofile=showprofile,
|
|
|
1169
|
show=show)
|
|
1168
|
show=show)
|
|
|
1170
|
|
|
1169
|
|
|
|
1171
|
if xmin == None: xmin = numpy.nanmin(x)
|
|
1170
|
if xmin == None: xmin = numpy.nanmin(x)
|
|
|
1172
|
if xmax == None: xmax = numpy.nanmax(x)
|
|
1171
|
if xmax == None: xmax = numpy.nanmax(x)
|
|
|
1173
|
if ymin == None: ymin = numpy.nanmin(zdB)
|
|
1172
|
if ymin == None: ymin = numpy.nanmin(zdB)
|
|
|
1174
|
if ymax == None: ymax = numpy.nanmax(zdB)+2
|
|
1173
|
if ymax == None: ymax = numpy.nanmax(zdB)+2
|
|
|
1175
|
|
|
1174
|
|
|
|
1176
|
self.isConfig = True
|
|
1175
|
self.isConfig = True
|
|
|
1177
|
|
|
1176
|
|
|
|
1178
|
self.setWinTitle(title)
|
|
1177
|
self.setWinTitle(title)
|
|
|
1179
|
for i in range(self.nplots):
|
|
1178
|
for i in range(self.nplots):
|
|
|
1180
|
# title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
|
|
1179
|
# title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
|
|
|
1181
|
title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
|
|
1180
|
title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
|
|
|
1182
|
axes = self.axesList[i*self.__nsubplots]
|
|
1181
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
1183
|
if fit == False:
|
|
1182
|
if fit == False:
|
|
|
1184
|
axes.pline(x, zdB[i,:],
|
|
1183
|
axes.pline(x, zdB[i,:],
|
|
|
1185
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
|
|
1184
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
|
|
|
1186
|
xlabel=xlabel, ylabel=ylabel, title=title
|
|
1185
|
xlabel=xlabel, ylabel=ylabel, title=title
|
|
|
1187
|
)
|
|
1186
|
)
|
|
|
1188
|
if fit == True:
|
|
1187
|
if fit == True:
|
|
|
1189
|
fitline=spcFitLinedB[i,:]
|
|
1188
|
fitline=spcFitLinedB[i,:]
|
|
|
1190
|
y=numpy.vstack([zdB[i,:],fitline] )
|
|
1189
|
y=numpy.vstack([zdB[i,:],fitline] )
|
|
|
1191
|
legendlabels=['Data','Fitting']
|
|
1190
|
legendlabels=['Data','Fitting']
|
|
|
1192
|
axes.pmultilineyaxis(x, y,
|
|
1191
|
axes.pmultilineyaxis(x, y,
|
|
|
1193
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
|
|
1192
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
|
|
|
1194
|
xlabel=xlabel, ylabel=ylabel, title=title,
|
|
1193
|
xlabel=xlabel, ylabel=ylabel, title=title,
|
|
|
1195
|
legendlabels=legendlabels, marker=None,
|
|
1194
|
legendlabels=legendlabels, marker=None,
|
|
|
1196
|
linestyle='solid', grid='both')
|
|
1195
|
linestyle='solid', grid='both')
|
|
|
1197
|
|
|
1196
|
|
|
|
1198
|
self.draw()
|
|
1197
|
self.draw()
|
|
|
1199
|
|
|
1198
|
|
|
|
1200
|
self.save(figpath=figpath,
|
|
1199
|
self.save(figpath=figpath,
|
|
|
1201
|
figfile=figfile,
|
|
1200
|
figfile=figfile,
|
|
|
1202
|
save=save,
|
|
1201
|
save=save,
|
|
|
1203
|
ftp=ftp,
|
|
1202
|
ftp=ftp,
|
|
|
1204
|
wr_period=wr_period,
|
|
1203
|
wr_period=wr_period,
|
|
|
1205
|
thisDatetime=thisDatetime)
|
|
1204
|
thisDatetime=thisDatetime)
|
|
|
1206
|
|
|
1205
|
|
|
|
1207
|
|
|
1206
|
|
|
|
1208
|
class EWDriftsPlot(Figure):
|
|
1207
|
class EWDriftsPlot(Figure):
|
|
|
1209
|
|
|
1208
|
|
|
|
1210
|
__isConfig = None
|
|
1209
|
__isConfig = None
|
|
|
1211
|
__nsubplots = None
|
|
1210
|
__nsubplots = None
|
|
|
1212
|
|
|
1211
|
|
|
|
1213
|
WIDTHPROF = None
|
|
1212
|
WIDTHPROF = None
|
|
|
1214
|
HEIGHTPROF = None
|
|
1213
|
HEIGHTPROF = None
|
|
|
1215
|
PREFIX = 'drift'
|
|
1214
|
PREFIX = 'drift'
|
|
|
1216
|
|
|
1215
|
|
|
|
1217
|
def __init__(self, **kwargs):
|
|
1216
|
def __init__(self, **kwargs):
|
|
|
1218
|
Figure.__init__(self, **kwargs)
|
|
1217
|
Figure.__init__(self, **kwargs)
|
|
|
1219
|
self.timerange = 2*60*60
|
|
1218
|
self.timerange = 2*60*60
|
|
|
1220
|
self.isConfig = False
|
|
1219
|
self.isConfig = False
|
|
|
1221
|
self.__nsubplots = 1
|
|
1220
|
self.__nsubplots = 1
|
|
|
1222
|
|
|
1221
|
|
|
|
1223
|
self.WIDTH = 800
|
|
1222
|
self.WIDTH = 800
|
|
|
1224
|
self.HEIGHT = 150
|
|
1223
|
self.HEIGHT = 150
|
|
|
1225
|
self.WIDTHPROF = 120
|
|
1224
|
self.WIDTHPROF = 120
|
|
|
1226
|
self.HEIGHTPROF = 0
|
|
1225
|
self.HEIGHTPROF = 0
|
|
|
1227
|
self.counter_imagwr = 0
|
|
1226
|
self.counter_imagwr = 0
|
|
|
1228
|
|
|
1227
|
|
|
|
1229
|
self.PLOT_CODE = EWDRIFT_CODE
|
|
1228
|
self.PLOT_CODE = EWDRIFT_CODE
|
|
|
1230
|
|
|
1229
|
|
|
|
1231
|
self.FTP_WEI = None
|
|
1230
|
self.FTP_WEI = None
|
|
|
1232
|
self.EXP_CODE = None
|
|
1231
|
self.EXP_CODE = None
|
|
|
1233
|
self.SUB_EXP_CODE = None
|
|
1232
|
self.SUB_EXP_CODE = None
|
|
|
1234
|
self.PLOT_POS = None
|
|
1233
|
self.PLOT_POS = None
|
|
|
1235
|
self.tmin = None
|
|
1234
|
self.tmin = None
|
|
|
1236
|
self.tmax = None
|
|
1235
|
self.tmax = None
|
|
|
1237
|
|
|
1236
|
|
|
|
1238
|
self.xmin = None
|
|
1237
|
self.xmin = None
|
|
|
1239
|
self.xmax = None
|
|
1238
|
self.xmax = None
|
|
|
1240
|
|
|
1239
|
|
|
|
1241
|
self.figfile = None
|
|
1240
|
self.figfile = None
|
|
|
1242
|
|
|
1241
|
|
|
|
1243
|
def getSubplots(self):
|
|
1242
|
def getSubplots(self):
|
|
|
1244
|
|
|
1243
|
|
|
|
1245
|
ncol = 1
|
|
1244
|
ncol = 1
|
|
|
1246
|
nrow = self.nplots
|
|
1245
|
nrow = self.nplots
|
|
|
1247
|
|
|
1246
|
|
|
|
1248
|
return nrow, ncol
|
|
1247
|
return nrow, ncol
|
|
|
1249
|
|
|
1248
|
|
|
|
1250
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
1249
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
|
1251
|
|
|
1250
|
|
|
|
1252
|
self.__showprofile = showprofile
|
|
1251
|
self.__showprofile = showprofile
|
|
|
1253
|
self.nplots = nplots
|
|
1252
|
self.nplots = nplots
|
|
|
1254
|
|
|
1253
|
|
|
|
1255
|
ncolspan = 1
|
|
1254
|
ncolspan = 1
|
|
|
1256
|
colspan = 1
|
|
1255
|
colspan = 1
|
|
|
1257
|
|
|
1256
|
|
|
|
1258
|
self.createFigure(id = id,
|
|
1257
|
self.createFigure(id = id,
|
|
|
1259
|
wintitle = wintitle,
|
|
1258
|
wintitle = wintitle,
|
|
|
1260
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
1259
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
1261
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
1260
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
1262
|
show=show)
|
|
1261
|
show=show)
|
|
|
1263
|
|
|
1262
|
|
|
|
1264
|
nrow, ncol = self.getSubplots()
|
|
1263
|
nrow, ncol = self.getSubplots()
|
|
|
1265
|
|
|
1264
|
|
|
|
1266
|
counter = 0
|
|
1265
|
counter = 0
|
|
|
1267
|
for y in range(nrow):
|
|
1266
|
for y in range(nrow):
|
|
|
1268
|
if counter >= self.nplots:
|
|
1267
|
if counter >= self.nplots:
|
|
|
1269
|
break
|
|
1268
|
break
|
|
|
1270
|
|
|
1269
|
|
|
|
1271
|
self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
|
|
1270
|
self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
|
|
|
1272
|
counter += 1
|
|
1271
|
counter += 1
|
|
|
1273
|
|
|
1272
|
|
|
|
1274
|
def run(self, dataOut, id, wintitle="", channelList=None,
|
|
1273
|
def run(self, dataOut, id, wintitle="", channelList=None,
|
|
|
1275
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
|
|
1274
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
|
|
|
1276
|
zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
|
|
1275
|
zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
|
|
|
1277
|
timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
|
|
1276
|
timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
|
|
|
1278
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
1277
|
save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
|
|
|
1279
|
server=None, folder=None, username=None, password=None,
|
|
1278
|
server=None, folder=None, username=None, password=None,
|
|
|
1280
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
1279
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
|
1281
|
"""
|
|
1280
|
"""
|
|
|
1282
|
|
|
1281
|
|
|
|
1283
|
Input:
|
|
1282
|
Input:
|
|
|
1284
|
dataOut :
|
|
1283
|
dataOut :
|
|
|
1285
|
id :
|
|
1284
|
id :
|
|
|
1286
|
wintitle :
|
|
1285
|
wintitle :
|
|
|
1287
|
channelList :
|
|
1286
|
channelList :
|
|
|
1288
|
showProfile :
|
|
1287
|
showProfile :
|
|
|
1289
|
xmin : None,
|
|
1288
|
xmin : None,
|
|
|
1290
|
xmax : None,
|
|
1289
|
xmax : None,
|
|
|
1291
|
ymin : None,
|
|
1290
|
ymin : None,
|
|
|
1292
|
ymax : None,
|
|
1291
|
ymax : None,
|
|
|
1293
|
zmin : None,
|
|
1292
|
zmin : None,
|
|
|
1294
|
zmax : None
|
|
1293
|
zmax : None
|
|
|
1295
|
"""
|
|
1294
|
"""
|
|
|
1296
|
|
|
1295
|
|
|
|
1297
|
if timerange is not None:
|
|
1296
|
if timerange is not None:
|
|
|
1298
|
self.timerange = timerange
|
|
1297
|
self.timerange = timerange
|
|
|
1299
|
|
|
1298
|
|
|
|
1300
|
tmin = None
|
|
1299
|
tmin = None
|
|
|
1301
|
tmax = None
|
|
1300
|
tmax = None
|
|
|
1302
|
|
|
1301
|
|
|
|
1303
|
x = dataOut.getTimeRange1(dataOut.outputInterval)
|
|
1302
|
x = dataOut.getTimeRange1(dataOut.outputInterval)
|
|
|
1304
|
# y = dataOut.heightList
|
|
1303
|
# y = dataOut.heightList
|
|
|
1305
|
y = dataOut.heightList
|
|
1304
|
y = dataOut.heightList
|
|
|
1306
|
|
|
1305
|
|
|
|
1307
|
z = dataOut.data_output
|
|
1306
|
z = dataOut.data_output
|
|
|
1308
|
nplots = z.shape[0] #Number of wind dimensions estimated
|
|
1307
|
nplots = z.shape[0] #Number of wind dimensions estimated
|
|
|
1309
|
nplotsw = nplots
|
|
1308
|
nplotsw = nplots
|
|
|
1310
|
|
|
1309
|
|
|
|
1311
|
#If there is a SNR function defined
|
|
1310
|
#If there is a SNR function defined
|
|
|
1312
|
if dataOut.data_SNR is not None:
|
|
1311
|
if dataOut.data_SNR is not None:
|
|
|
1313
|
nplots += 1
|
|
1312
|
nplots += 1
|
|
|
1314
|
SNR = dataOut.data_SNR
|
|
1313
|
SNR = dataOut.data_SNR
|
|
|
1315
|
|
|
1314
|
|
|
|
1316
|
if SNR_1:
|
|
1315
|
if SNR_1:
|
|
|
1317
|
SNR += 1
|
|
1316
|
SNR += 1
|
|
|
1318
|
|
|
1317
|
|
|
|
1319
|
SNRavg = numpy.average(SNR, axis=0)
|
|
1318
|
SNRavg = numpy.average(SNR, axis=0)
|
|
|
1320
|
|
|
1319
|
|
|
|
1321
|
SNRdB = 10*numpy.log10(SNR)
|
|
1320
|
SNRdB = 10*numpy.log10(SNR)
|
|
|
1322
|
SNRavgdB = 10*numpy.log10(SNRavg)
|
|
1321
|
SNRavgdB = 10*numpy.log10(SNRavg)
|
|
|
1323
|
|
|
1322
|
|
|
|
1324
|
ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
|
|
1323
|
ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
|
|
|
1325
|
|
|
1324
|
|
|
|
1326
|
for i in range(nplotsw):
|
|
1325
|
for i in range(nplotsw):
|
|
|
1327
|
z[i,ind] = numpy.nan
|
|
1326
|
z[i,ind] = numpy.nan
|
|
|
1328
|
|
|
1327
|
|
|
|
1329
|
|
|
1328
|
|
|
|
1330
|
showprofile = False
|
|
1329
|
showprofile = False
|
|
|
1331
|
# thisDatetime = dataOut.datatime
|
|
1330
|
# thisDatetime = dataOut.datatime
|
|
|
1332
|
thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
|
|
1331
|
thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
|
|
|
1333
|
title = wintitle + " EW Drifts"
|
|
1332
|
title = wintitle + " EW Drifts"
|
|
|
1334
|
xlabel = ""
|
|
1333
|
xlabel = ""
|
|
|
1335
|
ylabel = "Height (Km)"
|
|
1334
|
ylabel = "Height (Km)"
|
|
|
1336
|
|
|
1335
|
|
|
|
1337
|
if not self.isConfig:
|
|
1336
|
if not self.isConfig:
|
|
|
1338
|
|
|
1337
|
|
|
|
1339
|
self.setup(id=id,
|
|
1338
|
self.setup(id=id,
|
|
|
1340
|
nplots=nplots,
|
|
1339
|
nplots=nplots,
|
|
|
1341
|
wintitle=wintitle,
|
|
1340
|
wintitle=wintitle,
|
|
|
1342
|
showprofile=showprofile,
|
|
1341
|
showprofile=showprofile,
|
|
|
1343
|
show=show)
|
|
1342
|
show=show)
|
|
|
1344
|
|
|
1343
|
|
|
|
1345
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
1344
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
|
1346
|
|
|
1345
|
|
|
|
1347
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
1346
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
|
1348
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
1347
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
|
1349
|
|
|
1348
|
|
|
|
1350
|
if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
|
|
1349
|
if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
|
|
|
1351
|
if zminZonal == None: zminZonal = -zmaxZonal
|
|
1350
|
if zminZonal == None: zminZonal = -zmaxZonal
|
|
|
1352
|
if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
|
|
1351
|
if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
|
|
|
1353
|
if zminVertical == None: zminVertical = -zmaxVertical
|
|
1352
|
if zminVertical == None: zminVertical = -zmaxVertical
|
|
|
1354
|
|
|
1353
|
|
|
|
1355
|
if dataOut.data_SNR is not None:
|
|
1354
|
if dataOut.data_SNR is not None:
|
|
|
1356
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
|
|
1355
|
if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
|
|
|
1357
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
|
|
1356
|
if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
|
|
|
1358
|
|
|
1357
|
|
|
|
1359
|
self.FTP_WEI = ftp_wei
|
|
1358
|
self.FTP_WEI = ftp_wei
|
|
|
1360
|
self.EXP_CODE = exp_code
|
|
1359
|
self.EXP_CODE = exp_code
|
|
|
1361
|
self.SUB_EXP_CODE = sub_exp_code
|
|
1360
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
1362
|
self.PLOT_POS = plot_pos
|
|
1361
|
self.PLOT_POS = plot_pos
|
|
|
1363
|
|
|
1362
|
|
|
|
1364
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
1363
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
1365
|
self.isConfig = True
|
|
1364
|
self.isConfig = True
|
|
|
1366
|
|
|
1365
|
|
|
|
1367
|
|
|
1366
|
|
|
|
1368
|
self.setWinTitle(title)
|
|
1367
|
self.setWinTitle(title)
|
|
|
1369
|
|
|
1368
|
|
|
|
1370
|
if ((self.xmax - x[1]) < (x[1]-x[0])):
|
|
1369
|
if ((self.xmax - x[1]) < (x[1]-x[0])):
|
|
|
1371
|
x[1] = self.xmax
|
|
1370
|
x[1] = self.xmax
|
|
|
1372
|
|
|
1371
|
|
|
|
1373
|
strWind = ['Zonal','Vertical']
|
|
1372
|
strWind = ['Zonal','Vertical']
|
|
|
1374
|
strCb = 'Velocity (m/s)'
|
|
1373
|
strCb = 'Velocity (m/s)'
|
|
|
1375
|
zmaxVector = [zmaxZonal, zmaxVertical]
|
|
1374
|
zmaxVector = [zmaxZonal, zmaxVertical]
|
|
|
1376
|
zminVector = [zminZonal, zminVertical]
|
|
1375
|
zminVector = [zminZonal, zminVertical]
|
|
|
1377
|
|
|
1376
|
|
|
|
1378
|
for i in range(nplotsw):
|
|
1377
|
for i in range(nplotsw):
|
|
|
1379
|
|
|
1378
|
|
|
|
1380
|
title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
1379
|
title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
1381
|
axes = self.axesList[i*self.__nsubplots]
|
|
1380
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
1382
|
|
|
1381
|
|
|
|
1383
|
z1 = z[i,:].reshape((1,-1))
|
|
1382
|
z1 = z[i,:].reshape((1,-1))
|
|
|
1384
|
|
|
1383
|
|
|
|
1385
|
axes.pcolorbuffer(x, y, z1,
|
|
1384
|
axes.pcolorbuffer(x, y, z1,
|
|
|
1386
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
|
|
1385
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
|
|
|
1387
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
1386
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
|
1388
|
ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
|
|
1387
|
ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
|
|
|
1389
|
|
|
1388
|
|
|
|
1390
|
if dataOut.data_SNR is not None:
|
|
1389
|
if dataOut.data_SNR is not None:
|
|
|
1391
|
i += 1
|
|
1390
|
i += 1
|
|
|
1392
|
if SNR_1:
|
|
1391
|
if SNR_1:
|
|
|
1393
|
title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
1392
|
title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
1394
|
else:
|
|
1393
|
else:
|
|
|
1395
|
title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
1394
|
title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
1396
|
axes = self.axesList[i*self.__nsubplots]
|
|
1395
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
1397
|
SNRavgdB = SNRavgdB.reshape((1,-1))
|
|
1396
|
SNRavgdB = SNRavgdB.reshape((1,-1))
|
|
|
1398
|
|
|
1397
|
|
|
|
1399
|
axes.pcolorbuffer(x, y, SNRavgdB,
|
|
1398
|
axes.pcolorbuffer(x, y, SNRavgdB,
|
|
|
1400
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
1399
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
|
|
|
1401
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
1400
|
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
|
|
|
1402
|
ticksize=9, cblabel='', cbsize="1%", colormap="jet")
|
|
1401
|
ticksize=9, cblabel='', cbsize="1%", colormap="jet")
|
|
|
1403
|
|
|
1402
|
|
|
|
1404
|
self.draw()
|
|
1403
|
self.draw()
|
|
|
1405
|
|
|
1404
|
|
|
|
1406
|
if x[1] >= self.axesList[0].xmax:
|
|
1405
|
if x[1] >= self.axesList[0].xmax:
|
|
|
1407
|
self.counter_imagwr = wr_period
|
|
1406
|
self.counter_imagwr = wr_period
|
|
|
1408
|
self.isConfig = False
|
|
1407
|
self.isConfig = False
|
|
|
1409
|
self.figfile = None
|
|
1408
|
self.figfile = None
|
|
|
1410
|
|
|
1409
|
|
|
|
1411
|
|
|
1410
|
|
|
|
1412
|
|
|
1411
|
|
|
|
1413
|
|
|
1412
|
|
|
|
1414
|
class PhasePlot(Figure):
|
|
1413
|
class PhasePlot(Figure):
|
|
|
1415
|
|
|
1414
|
|
|
|
1416
|
__isConfig = None
|
|
1415
|
__isConfig = None
|
|
|
1417
|
__nsubplots = None
|
|
1416
|
__nsubplots = None
|
|
|
1418
|
|
|
1417
|
|
|
|
1419
|
PREFIX = 'mphase'
|
|
1418
|
PREFIX = 'mphase'
|
|
|
1420
|
|
|
1419
|
|
|
|
1421
|
def __init__(self, **kwargs):
|
|
1420
|
def __init__(self, **kwargs):
|
|
|
1422
|
Figure.__init__(self, **kwargs)
|
|
1421
|
Figure.__init__(self, **kwargs)
|
|
|
1423
|
self.timerange = 24*60*60
|
|
1422
|
self.timerange = 24*60*60
|
|
|
1424
|
self.isConfig = False
|
|
1423
|
self.isConfig = False
|
|
|
1425
|
self.__nsubplots = 1
|
|
1424
|
self.__nsubplots = 1
|
|
|
1426
|
self.counter_imagwr = 0
|
|
1425
|
self.counter_imagwr = 0
|
|
|
1427
|
self.WIDTH = 600
|
|
1426
|
self.WIDTH = 600
|
|
|
1428
|
self.HEIGHT = 300
|
|
1427
|
self.HEIGHT = 300
|
|
|
1429
|
self.WIDTHPROF = 120
|
|
1428
|
self.WIDTHPROF = 120
|
|
|
1430
|
self.HEIGHTPROF = 0
|
|
1429
|
self.HEIGHTPROF = 0
|
|
|
1431
|
self.xdata = None
|
|
1430
|
self.xdata = None
|
|
|
1432
|
self.ydata = None
|
|
1431
|
self.ydata = None
|
|
|
1433
|
|
|
1432
|
|
|
|
1434
|
self.PLOT_CODE = MPHASE_CODE
|
|
1433
|
self.PLOT_CODE = MPHASE_CODE
|
|
|
1435
|
|
|
1434
|
|
|
|
1436
|
self.FTP_WEI = None
|
|
1435
|
self.FTP_WEI = None
|
|
|
1437
|
self.EXP_CODE = None
|
|
1436
|
self.EXP_CODE = None
|
|
|
1438
|
self.SUB_EXP_CODE = None
|
|
1437
|
self.SUB_EXP_CODE = None
|
|
|
1439
|
self.PLOT_POS = None
|
|
1438
|
self.PLOT_POS = None
|
|
|
1440
|
|
|
1439
|
|
|
|
1441
|
|
|
1440
|
|
|
|
1442
|
self.filename_phase = None
|
|
1441
|
self.filename_phase = None
|
|
|
1443
|
|
|
1442
|
|
|
|
1444
|
self.figfile = None
|
|
1443
|
self.figfile = None
|
|
|
1445
|
|
|
1444
|
|
|
|
1446
|
def getSubplots(self):
|
|
1445
|
def getSubplots(self):
|
|
|
1447
|
|
|
1446
|
|
|
|
1448
|
ncol = 1
|
|
1447
|
ncol = 1
|
|
|
1449
|
nrow = 1
|
|
1448
|
nrow = 1
|
|
|
1450
|
|
|
1449
|
|
|
|
1451
|
return nrow, ncol
|
|
1450
|
return nrow, ncol
|
|
|
1452
|
|
|
1451
|
|
|
|
1453
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
1452
|
def setup(self, id, nplots, wintitle, showprofile=True, show=True):
|
|
|
1454
|
|
|
1453
|
|
|
|
1455
|
self.__showprofile = showprofile
|
|
1454
|
self.__showprofile = showprofile
|
|
|
1456
|
self.nplots = nplots
|
|
1455
|
self.nplots = nplots
|
|
|
1457
|
|
|
1456
|
|
|
|
1458
|
ncolspan = 7
|
|
1457
|
ncolspan = 7
|
|
|
1459
|
colspan = 6
|
|
1458
|
colspan = 6
|
|
|
1460
|
self.__nsubplots = 2
|
|
1459
|
self.__nsubplots = 2
|
|
|
1461
|
|
|
1460
|
|
|
|
1462
|
self.createFigure(id = id,
|
|
1461
|
self.createFigure(id = id,
|
|
|
1463
|
wintitle = wintitle,
|
|
1462
|
wintitle = wintitle,
|
|
|
1464
|
widthplot = self.WIDTH+self.WIDTHPROF,
|
|
1463
|
widthplot = self.WIDTH+self.WIDTHPROF,
|
|
|
1465
|
heightplot = self.HEIGHT+self.HEIGHTPROF,
|
|
1464
|
heightplot = self.HEIGHT+self.HEIGHTPROF,
|
|
|
1466
|
show=show)
|
|
1465
|
show=show)
|
|
|
1467
|
|
|
1466
|
|
|
|
1468
|
nrow, ncol = self.getSubplots()
|
|
1467
|
nrow, ncol = self.getSubplots()
|
|
|
1469
|
|
|
1468
|
|
|
|
1470
|
self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
|
|
1469
|
self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
|
|
|
1471
|
|
|
1470
|
|
|
|
1472
|
|
|
1471
|
|
|
|
1473
|
def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
|
|
1472
|
def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
|
|
|
1474
|
xmin=None, xmax=None, ymin=None, ymax=None,
|
|
1473
|
xmin=None, xmax=None, ymin=None, ymax=None,
|
|
|
1475
|
timerange=None,
|
|
1474
|
timerange=None,
|
|
|
1476
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
1475
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
|
1477
|
server=None, folder=None, username=None, password=None,
|
|
1476
|
server=None, folder=None, username=None, password=None,
|
|
|
1478
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
1477
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
|
|
|
1479
|
|
|
1478
|
|
|
|
1480
|
|
|
1479
|
|
|
|
1481
|
tmin = None
|
|
1480
|
tmin = None
|
|
|
1482
|
tmax = None
|
|
1481
|
tmax = None
|
|
|
1483
|
x = dataOut.getTimeRange1(dataOut.outputInterval)
|
|
1482
|
x = dataOut.getTimeRange1(dataOut.outputInterval)
|
|
|
1484
|
y = dataOut.getHeiRange()
|
|
1483
|
y = dataOut.getHeiRange()
|
|
|
1485
|
|
|
1484
|
|
|
|
1486
|
|
|
1485
|
|
|
|
1487
|
#thisDatetime = dataOut.datatime
|
|
1486
|
#thisDatetime = dataOut.datatime
|
|
|
1488
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
1487
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
|
1489
|
title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
1488
|
title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
|
1490
|
xlabel = "Local Time"
|
|
1489
|
xlabel = "Local Time"
|
|
|
1491
|
ylabel = "Phase"
|
|
1490
|
ylabel = "Phase"
|
|
|
1492
|
|
|
1491
|
|
|
|
1493
|
|
|
1492
|
|
|
|
1494
|
#phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
|
|
1493
|
#phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
|
|
|
1495
|
phase_beacon = dataOut.data_output
|
|
1494
|
phase_beacon = dataOut.data_output
|
|
|
1496
|
update_figfile = False
|
|
1495
|
update_figfile = False
|
|
|
1497
|
|
|
1496
|
|
|
|
1498
|
if not self.isConfig:
|
|
1497
|
if not self.isConfig:
|
|
|
1499
|
|
|
1498
|
|
|
|
1500
|
self.nplots = phase_beacon.size
|
|
1499
|
self.nplots = phase_beacon.size
|
|
|
1501
|
|
|
1500
|
|
|
|
1502
|
self.setup(id=id,
|
|
1501
|
self.setup(id=id,
|
|
|
1503
|
nplots=self.nplots,
|
|
1502
|
nplots=self.nplots,
|
|
|
1504
|
wintitle=wintitle,
|
|
1503
|
wintitle=wintitle,
|
|
|
1505
|
showprofile=showprofile,
|
|
1504
|
showprofile=showprofile,
|
|
|
1506
|
show=show)
|
|
1505
|
show=show)
|
|
|
1507
|
|
|
1506
|
|
|
|
1508
|
if timerange is not None:
|
|
1507
|
if timerange is not None:
|
|
|
1509
|
self.timerange = timerange
|
|
1508
|
self.timerange = timerange
|
|
|
1510
|
|
|
1509
|
|
|
|
1511
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
1510
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
|
|
|
1512
|
|
|
1511
|
|
|
|
1513
|
if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
|
|
1512
|
if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
|
|
|
1514
|
if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
|
|
1513
|
if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
|
|
|
1515
|
|
|
1514
|
|
|
|
1516
|
self.FTP_WEI = ftp_wei
|
|
1515
|
self.FTP_WEI = ftp_wei
|
|
|
1517
|
self.EXP_CODE = exp_code
|
|
1516
|
self.EXP_CODE = exp_code
|
|
|
1518
|
self.SUB_EXP_CODE = sub_exp_code
|
|
1517
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
1519
|
self.PLOT_POS = plot_pos
|
|
1518
|
self.PLOT_POS = plot_pos
|
|
|
1520
|
|
|
1519
|
|
|
|
1521
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
1520
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
1522
|
self.isConfig = True
|
|
1521
|
self.isConfig = True
|
|
|
1523
|
self.figfile = figfile
|
|
1522
|
self.figfile = figfile
|
|
|
1524
|
self.xdata = numpy.array([])
|
|
1523
|
self.xdata = numpy.array([])
|
|
|
1525
|
self.ydata = numpy.array([])
|
|
1524
|
self.ydata = numpy.array([])
|
|
|
1526
|
|
|
1525
|
|
|
|
1527
|
#open file beacon phase
|
|
1526
|
#open file beacon phase
|
|
|
1528
|
path = '%s%03d' %(self.PREFIX, self.id)
|
|
1527
|
path = '%s%03d' %(self.PREFIX, self.id)
|
|
|
1529
|
beacon_file = os.path.join(path,'%s.txt'%self.name)
|
|
1528
|
beacon_file = os.path.join(path,'%s.txt'%self.name)
|
|
|
1530
|
self.filename_phase = os.path.join(figpath,beacon_file)
|
|
1529
|
self.filename_phase = os.path.join(figpath,beacon_file)
|
|
|
1531
|
update_figfile = True
|
|
1530
|
update_figfile = True
|
|
|
1532
|
|
|
1531
|
|
|
|
1533
|
|
|
1532
|
|
|
|
1534
|
#store data beacon phase
|
|
1533
|
#store data beacon phase
|
|
|
1535
|
#self.save_data(self.filename_phase, phase_beacon, thisDatetime)
|
|
1534
|
#self.save_data(self.filename_phase, phase_beacon, thisDatetime)
|
|
|
1536
|
|
|
1535
|
|
|
|
1537
|
self.setWinTitle(title)
|
|
1536
|
self.setWinTitle(title)
|
|
|
1538
|
|
|
1537
|
|
|
|
1539
|
|
|
1538
|
|
|
|
1540
|
title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
1539
|
title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
1541
|
|
|
1540
|
|
|
|
1542
|
legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)]
|
|
1541
|
legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)]
|
|
|
1543
|
|
|
1542
|
|
|
|
1544
|
axes = self.axesList[0]
|
|
1543
|
axes = self.axesList[0]
|
|
|
1545
|
|
|
1544
|
|
|
|
1546
|
self.xdata = numpy.hstack((self.xdata, x[0:1]))
|
|
1545
|
self.xdata = numpy.hstack((self.xdata, x[0:1]))
|
|
|
1547
|
|
|
1546
|
|
|
|
1548
|
if len(self.ydata)==0:
|
|
1547
|
if len(self.ydata)==0:
|
|
|
1549
|
self.ydata = phase_beacon.reshape(-1,1)
|
|
1548
|
self.ydata = phase_beacon.reshape(-1,1)
|
|
|
1550
|
else:
|
|
1549
|
else:
|
|
|
1551
|
self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
|
|
1550
|
self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
|
|
|
1552
|
|
|
1551
|
|
|
|
1553
|
|
|
1552
|
|
|
|
1554
|
axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
|
|
1553
|
axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
|
|
|
1555
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
|
|
1554
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
|
|
|
1556
|
xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
|
|
1555
|
xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
|
|
|
1557
|
XAxisAsTime=True, grid='both'
|
|
1556
|
XAxisAsTime=True, grid='both'
|
|
|
1558
|
)
|
|
1557
|
)
|
|
|
1559
|
|
|
1558
|
|
|
|
1560
|
self.draw()
|
|
1559
|
self.draw()
|
|
|
1561
|
|
|
1560
|
|
|
|
1562
|
self.save(figpath=figpath,
|
|
1561
|
self.save(figpath=figpath,
|
|
|
1563
|
figfile=figfile,
|
|
1562
|
figfile=figfile,
|
|
|
1564
|
save=save,
|
|
1563
|
save=save,
|
|
|
1565
|
ftp=ftp,
|
|
1564
|
ftp=ftp,
|
|
|
1566
|
wr_period=wr_period,
|
|
1565
|
wr_period=wr_period,
|
|
|
1567
|
thisDatetime=thisDatetime,
|
|
1566
|
thisDatetime=thisDatetime,
|
|
|
1568
|
update_figfile=update_figfile)
|
|
1567
|
update_figfile=update_figfile)
|
|
|
1569
|
|
|
1568
|
|
|
|
1570
|
if dataOut.ltctime + dataOut.outputInterval >= self.xmax:
|
|
1569
|
if dataOut.ltctime + dataOut.outputInterval >= self.xmax:
|
|
|
1571
|
self.counter_imagwr = wr_period
|
|
1570
|
self.counter_imagwr = wr_period
|
|
|
1572
|
self.isConfig = False
|
|
1571
|
self.isConfig = False
|
|
|
1573
|
update_figfile = True
|
|
1572
|
update_figfile = True
|
|
|
1574
|
|
|
1573
|
|
|
|
1575
|
|
|
1574
|
|
|
|
1576
|
|
|
1575
|
|
|
|
1577
|
class NSMeteorDetection1Plot(Figure):
|
|
1576
|
class NSMeteorDetection1Plot(Figure):
|
|
|
1578
|
|
|
1577
|
|
|
|
1579
|
isConfig = None
|
|
1578
|
isConfig = None
|
|
|
1580
|
__nsubplots = None
|
|
1579
|
__nsubplots = None
|
|
|
1581
|
|
|
1580
|
|
|
|
1582
|
WIDTHPROF = None
|
|
1581
|
WIDTHPROF = None
|
|
|
1583
|
HEIGHTPROF = None
|
|
1582
|
HEIGHTPROF = None
|
|
|
1584
|
PREFIX = 'nsm'
|
|
1583
|
PREFIX = 'nsm'
|
|
|
1585
|
|
|
1584
|
|
|
|
1586
|
zminList = None
|
|
1585
|
zminList = None
|
|
|
1587
|
zmaxList = None
|
|
1586
|
zmaxList = None
|
|
|
1588
|
cmapList = None
|
|
1587
|
cmapList = None
|
|
|
1589
|
titleList = None
|
|
1588
|
titleList = None
|
|
|
1590
|
nPairs = None
|
|
1589
|
nPairs = None
|
|
|
1591
|
nChannels = None
|
|
1590
|
nChannels = None
|
|
|
1592
|
nParam = None
|
|
1591
|
nParam = None
|
|
|
1593
|
|
|
1592
|
|
|
|
1594
|
def __init__(self, **kwargs):
|
|
1593
|
def __init__(self, **kwargs):
|
|
|
1595
|
Figure.__init__(self, **kwargs)
|
|
1594
|
Figure.__init__(self, **kwargs)
|
|
|
1596
|
self.isConfig = False
|
|
1595
|
self.isConfig = False
|
|
|
1597
|
self.__nsubplots = 1
|
|
1596
|
self.__nsubplots = 1
|
|
|
1598
|
|
|
1597
|
|
|
|
1599
|
self.WIDTH = 750
|
|
1598
|
self.WIDTH = 750
|
|
|
1600
|
self.HEIGHT = 250
|
|
1599
|
self.HEIGHT = 250
|
|
|
1601
|
self.WIDTHPROF = 120
|
|
1600
|
self.WIDTHPROF = 120
|
|
|
1602
|
self.HEIGHTPROF = 0
|
|
1601
|
self.HEIGHTPROF = 0
|
|
|
1603
|
self.counter_imagwr = 0
|
|
1602
|
self.counter_imagwr = 0
|
|
|
1604
|
|
|
1603
|
|
|
|
1605
|
self.PLOT_CODE = SPEC_CODE
|
|
1604
|
self.PLOT_CODE = SPEC_CODE
|
|
|
1606
|
|
|
1605
|
|
|
|
1607
|
self.FTP_WEI = None
|
|
1606
|
self.FTP_WEI = None
|
|
|
1608
|
self.EXP_CODE = None
|
|
1607
|
self.EXP_CODE = None
|
|
|
1609
|
self.SUB_EXP_CODE = None
|
|
1608
|
self.SUB_EXP_CODE = None
|
|
|
1610
|
self.PLOT_POS = None
|
|
1609
|
self.PLOT_POS = None
|
|
|
1611
|
|
|
1610
|
|
|
|
1612
|
self.__xfilter_ena = False
|
|
1611
|
self.__xfilter_ena = False
|
|
|
1613
|
self.__yfilter_ena = False
|
|
1612
|
self.__yfilter_ena = False
|
|
|
1614
|
|
|
1613
|
|
|
|
1615
|
def getSubplots(self):
|
|
1614
|
def getSubplots(self):
|
|
|
1616
|
|
|
1615
|
|
|
|
1617
|
ncol = 3
|
|
1616
|
ncol = 3
|
|
|
1618
|
nrow = int(numpy.ceil(self.nplots/3.0))
|
|
1617
|
nrow = int(numpy.ceil(self.nplots/3.0))
|
|
|
1619
|
|
|
1618
|
|
|
|
1620
|
return nrow, ncol
|
|
1619
|
return nrow, ncol
|
|
|
1621
|
|
|
1620
|
|
|
|
1622
|
def setup(self, id, nplots, wintitle, show=True):
|
|
1621
|
def setup(self, id, nplots, wintitle, show=True):
|
|
|
1623
|
|
|
1622
|
|
|
|
1624
|
self.nplots = nplots
|
|
1623
|
self.nplots = nplots
|
|
|
1625
|
|
|
1624
|
|
|
|
1626
|
ncolspan = 1
|
|
1625
|
ncolspan = 1
|
|
|
1627
|
colspan = 1
|
|
1626
|
colspan = 1
|
|
|
1628
|
|
|
1627
|
|
|
|
1629
|
self.createFigure(id = id,
|
|
1628
|
self.createFigure(id = id,
|
|
|
1630
|
wintitle = wintitle,
|
|
1629
|
wintitle = wintitle,
|
|
|
1631
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
1630
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
1632
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
1631
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
1633
|
show=show)
|
|
1632
|
show=show)
|
|
|
1634
|
|
|
1633
|
|
|
|
1635
|
nrow, ncol = self.getSubplots()
|
|
1634
|
nrow, ncol = self.getSubplots()
|
|
|
1636
|
|
|
1635
|
|
|
|
1637
|
counter = 0
|
|
1636
|
counter = 0
|
|
|
1638
|
for y in range(nrow):
|
|
1637
|
for y in range(nrow):
|
|
|
1639
|
for x in range(ncol):
|
|
1638
|
for x in range(ncol):
|
|
|
1640
|
|
|
1639
|
|
|
|
1641
|
if counter >= self.nplots:
|
|
1640
|
if counter >= self.nplots:
|
|
|
1642
|
break
|
|
1641
|
break
|
|
|
1643
|
|
|
1642
|
|
|
|
1644
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
1643
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
|
1645
|
|
|
1644
|
|
|
|
1646
|
counter += 1
|
|
1645
|
counter += 1
|
|
|
1647
|
|
|
1646
|
|
|
|
1648
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
|
|
1647
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
|
|
|
1649
|
xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None,
|
|
1648
|
xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None,
|
|
|
1650
|
vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA',
|
|
1649
|
vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA',
|
|
|
1651
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
1650
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
|
1652
|
server=None, folder=None, username=None, password=None,
|
|
1651
|
server=None, folder=None, username=None, password=None,
|
|
|
1653
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False,
|
|
1652
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False,
|
|
|
1654
|
xaxis="frequency"):
|
|
1653
|
xaxis="frequency"):
|
|
|
1655
|
|
|
1654
|
|
|
|
1656
|
"""
|
|
1655
|
"""
|
|
|
1657
|
|
|
1656
|
|
|
|
1658
|
Input:
|
|
1657
|
Input:
|
|
|
1659
|
dataOut :
|
|
1658
|
dataOut :
|
|
|
1660
|
id :
|
|
1659
|
id :
|
|
|
1661
|
wintitle :
|
|
1660
|
wintitle :
|
|
|
1662
|
channelList :
|
|
1661
|
channelList :
|
|
|
1663
|
showProfile :
|
|
1662
|
showProfile :
|
|
|
1664
|
xmin : None,
|
|
1663
|
xmin : None,
|
|
|
1665
|
xmax : None,
|
|
1664
|
xmax : None,
|
|
|
1666
|
ymin : None,
|
|
1665
|
ymin : None,
|
|
|
1667
|
ymax : None,
|
|
1666
|
ymax : None,
|
|
|
1668
|
zmin : None,
|
|
1667
|
zmin : None,
|
|
|
1669
|
zmax : None
|
|
1668
|
zmax : None
|
|
|
1670
|
"""
|
|
1669
|
"""
|
|
|
1671
|
#SEPARAR EN DOS PLOTS
|
|
1670
|
#SEPARAR EN DOS PLOTS
|
|
|
1672
|
nParam = dataOut.data_param.shape[1] - 3
|
|
1671
|
nParam = dataOut.data_param.shape[1] - 3
|
|
|
1673
|
|
|
1672
|
|
|
|
1674
|
utctime = dataOut.data_param[0,0]
|
|
1673
|
utctime = dataOut.data_param[0,0]
|
|
|
1675
|
tmet = dataOut.data_param[:,1].astype(int)
|
|
1674
|
tmet = dataOut.data_param[:,1].astype(int)
|
|
|
1676
|
hmet = dataOut.data_param[:,2].astype(int)
|
|
1675
|
hmet = dataOut.data_param[:,2].astype(int)
|
|
|
1677
|
|
|
1676
|
|
|
|
1678
|
x = dataOut.abscissaList
|
|
1677
|
x = dataOut.abscissaList
|
|
|
1679
|
y = dataOut.heightList
|
|
1678
|
y = dataOut.heightList
|
|
|
1680
|
|
|
1679
|
|
|
|
1681
|
z = numpy.zeros((nParam, y.size, x.size - 1))
|
|
1680
|
z = numpy.zeros((nParam, y.size, x.size - 1))
|
|
|
1682
|
z[:,:] = numpy.nan
|
|
1681
|
z[:,:] = numpy.nan
|
|
|
1683
|
z[:,hmet,tmet] = dataOut.data_param[:,3:].T
|
|
1682
|
z[:,hmet,tmet] = dataOut.data_param[:,3:].T
|
|
|
1684
|
z[0,:,:] = 10*numpy.log10(z[0,:,:])
|
|
1683
|
z[0,:,:] = 10*numpy.log10(z[0,:,:])
|
|
|
1685
|
|
|
1684
|
|
|
|
1686
|
xlabel = "Time (s)"
|
|
1685
|
xlabel = "Time (s)"
|
|
|
1687
|
ylabel = "Range (km)"
|
|
1686
|
ylabel = "Range (km)"
|
|
|
1688
|
|
|
1687
|
|
|
|
1689
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
1688
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
|
1690
|
|
|
1689
|
|
|
|
1691
|
if not self.isConfig:
|
|
1690
|
if not self.isConfig:
|
|
|
1692
|
|
|
1691
|
|
|
|
1693
|
nplots = nParam
|
|
1692
|
nplots = nParam
|
|
|
1694
|
|
|
1693
|
|
|
|
1695
|
self.setup(id=id,
|
|
1694
|
self.setup(id=id,
|
|
|
1696
|
nplots=nplots,
|
|
1695
|
nplots=nplots,
|
|
|
1697
|
wintitle=wintitle,
|
|
1696
|
wintitle=wintitle,
|
|
|
1698
|
show=show)
|
|
1697
|
show=show)
|
|
|
1699
|
|
|
1698
|
|
|
|
1700
|
if xmin is None: xmin = numpy.nanmin(x)
|
|
1699
|
if xmin is None: xmin = numpy.nanmin(x)
|
|
|
1701
|
if xmax is None: xmax = numpy.nanmax(x)
|
|
1700
|
if xmax is None: xmax = numpy.nanmax(x)
|
|
|
1702
|
if ymin is None: ymin = numpy.nanmin(y)
|
|
1701
|
if ymin is None: ymin = numpy.nanmin(y)
|
|
|
1703
|
if ymax is None: ymax = numpy.nanmax(y)
|
|
1702
|
if ymax is None: ymax = numpy.nanmax(y)
|
|
|
1704
|
if SNRmin is None: SNRmin = numpy.nanmin(z[0,:])
|
|
1703
|
if SNRmin is None: SNRmin = numpy.nanmin(z[0,:])
|
|
|
1705
|
if SNRmax is None: SNRmax = numpy.nanmax(z[0,:])
|
|
1704
|
if SNRmax is None: SNRmax = numpy.nanmax(z[0,:])
|
|
|
1706
|
if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:]))
|
|
1705
|
if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:]))
|
|
|
1707
|
if vmin is None: vmin = -vmax
|
|
1706
|
if vmin is None: vmin = -vmax
|
|
|
1708
|
if wmin is None: wmin = 0
|
|
1707
|
if wmin is None: wmin = 0
|
|
|
1709
|
if wmax is None: wmax = 50
|
|
1708
|
if wmax is None: wmax = 50
|
|
|
1710
|
|
|
1709
|
|
|
|
1711
|
pairsList = dataOut.groupList
|
|
1710
|
pairsList = dataOut.groupList
|
|
|
1712
|
self.nPairs = len(dataOut.groupList)
|
|
1711
|
self.nPairs = len(dataOut.groupList)
|
|
|
1713
|
|
|
1712
|
|
|
|
1714
|
zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs
|
|
1713
|
zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs
|
|
|
1715
|
zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs
|
|
1714
|
zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs
|
|
|
1716
|
titleList = ["SNR","Radial Velocity","Coherence"]
|
|
1715
|
titleList = ["SNR","Radial Velocity","Coherence"]
|
|
|
1717
|
cmapList = ["jet","RdBu_r","jet"]
|
|
1716
|
cmapList = ["jet","RdBu_r","jet"]
|
|
|
1718
|
|
|
1717
|
|
|
|
1719
|
for i in range(self.nPairs):
|
|
1718
|
for i in range(self.nPairs):
|
|
|
1720
|
strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1])
|
|
1719
|
strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1])
|
|
|
1721
|
titleList = titleList + [strAux1]
|
|
1720
|
titleList = titleList + [strAux1]
|
|
|
1722
|
cmapList = cmapList + ["RdBu_r"]
|
|
1721
|
cmapList = cmapList + ["RdBu_r"]
|
|
|
1723
|
|
|
1722
|
|
|
|
1724
|
self.zminList = zminList
|
|
1723
|
self.zminList = zminList
|
|
|
1725
|
self.zmaxList = zmaxList
|
|
1724
|
self.zmaxList = zmaxList
|
|
|
1726
|
self.cmapList = cmapList
|
|
1725
|
self.cmapList = cmapList
|
|
|
1727
|
self.titleList = titleList
|
|
1726
|
self.titleList = titleList
|
|
|
1728
|
|
|
1727
|
|
|
|
1729
|
self.FTP_WEI = ftp_wei
|
|
1728
|
self.FTP_WEI = ftp_wei
|
|
|
1730
|
self.EXP_CODE = exp_code
|
|
1729
|
self.EXP_CODE = exp_code
|
|
|
1731
|
self.SUB_EXP_CODE = sub_exp_code
|
|
1730
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
1732
|
self.PLOT_POS = plot_pos
|
|
1731
|
self.PLOT_POS = plot_pos
|
|
|
1733
|
|
|
1732
|
|
|
|
1734
|
self.isConfig = True
|
|
1733
|
self.isConfig = True
|
|
|
1735
|
|
|
1734
|
|
|
|
1736
|
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
1735
|
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
|
1737
|
|
|
1736
|
|
|
|
1738
|
for i in range(nParam):
|
|
1737
|
for i in range(nParam):
|
|
|
1739
|
title = self.titleList[i] + ": " +str_datetime
|
|
1738
|
title = self.titleList[i] + ": " +str_datetime
|
|
|
1740
|
axes = self.axesList[i]
|
|
1739
|
axes = self.axesList[i]
|
|
|
1741
|
axes.pcolor(x, y, z[i,:].T,
|
|
1740
|
axes.pcolor(x, y, z[i,:].T,
|
|
|
1742
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i],
|
|
1741
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i],
|
|
|
1743
|
xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='')
|
|
1742
|
xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='')
|
|
|
1744
|
self.draw()
|
|
1743
|
self.draw()
|
|
|
1745
|
|
|
1744
|
|
|
|
1746
|
if figfile == None:
|
|
1745
|
if figfile == None:
|
|
|
1747
|
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
1746
|
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
1748
|
name = str_datetime
|
|
1747
|
name = str_datetime
|
|
|
1749
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
1748
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
|
1750
|
name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
|
|
1749
|
name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
|
|
|
1751
|
figfile = self.getFilename(name)
|
|
1750
|
figfile = self.getFilename(name)
|
|
|
1752
|
|
|
1751
|
|
|
|
1753
|
self.save(figpath=figpath,
|
|
1752
|
self.save(figpath=figpath,
|
|
|
1754
|
figfile=figfile,
|
|
1753
|
figfile=figfile,
|
|
|
1755
|
save=save,
|
|
1754
|
save=save,
|
|
|
1756
|
ftp=ftp,
|
|
1755
|
ftp=ftp,
|
|
|
1757
|
wr_period=wr_period,
|
|
1756
|
wr_period=wr_period,
|
|
|
1758
|
thisDatetime=thisDatetime)
|
|
1757
|
thisDatetime=thisDatetime)
|
|
|
1759
|
|
|
1758
|
|
|
|
1760
|
|
|
1759
|
|
|
|
1761
|
class NSMeteorDetection2Plot(Figure):
|
|
1760
|
class NSMeteorDetection2Plot(Figure):
|
|
|
1762
|
|
|
1761
|
|
|
|
1763
|
isConfig = None
|
|
1762
|
isConfig = None
|
|
|
1764
|
__nsubplots = None
|
|
1763
|
__nsubplots = None
|
|
|
1765
|
|
|
1764
|
|
|
|
1766
|
WIDTHPROF = None
|
|
1765
|
WIDTHPROF = None
|
|
|
1767
|
HEIGHTPROF = None
|
|
1766
|
HEIGHTPROF = None
|
|
|
1768
|
PREFIX = 'nsm'
|
|
1767
|
PREFIX = 'nsm'
|
|
|
1769
|
|
|
1768
|
|
|
|
1770
|
zminList = None
|
|
1769
|
zminList = None
|
|
|
1771
|
zmaxList = None
|
|
1770
|
zmaxList = None
|
|
|
1772
|
cmapList = None
|
|
1771
|
cmapList = None
|
|
|
1773
|
titleList = None
|
|
1772
|
titleList = None
|
|
|
1774
|
nPairs = None
|
|
1773
|
nPairs = None
|
|
|
1775
|
nChannels = None
|
|
1774
|
nChannels = None
|
|
|
1776
|
nParam = None
|
|
1775
|
nParam = None
|
|
|
1777
|
|
|
1776
|
|
|
|
1778
|
def __init__(self, **kwargs):
|
|
1777
|
def __init__(self, **kwargs):
|
|
|
1779
|
Figure.__init__(self, **kwargs)
|
|
1778
|
Figure.__init__(self, **kwargs)
|
|
|
1780
|
self.isConfig = False
|
|
1779
|
self.isConfig = False
|
|
|
1781
|
self.__nsubplots = 1
|
|
1780
|
self.__nsubplots = 1
|
|
|
1782
|
|
|
1781
|
|
|
|
1783
|
self.WIDTH = 750
|
|
1782
|
self.WIDTH = 750
|
|
|
1784
|
self.HEIGHT = 250
|
|
1783
|
self.HEIGHT = 250
|
|
|
1785
|
self.WIDTHPROF = 120
|
|
1784
|
self.WIDTHPROF = 120
|
|
|
1786
|
self.HEIGHTPROF = 0
|
|
1785
|
self.HEIGHTPROF = 0
|
|
|
1787
|
self.counter_imagwr = 0
|
|
1786
|
self.counter_imagwr = 0
|
|
|
1788
|
|
|
1787
|
|
|
|
1789
|
self.PLOT_CODE = SPEC_CODE
|
|
1788
|
self.PLOT_CODE = SPEC_CODE
|
|
|
1790
|
|
|
1789
|
|
|
|
1791
|
self.FTP_WEI = None
|
|
1790
|
self.FTP_WEI = None
|
|
|
1792
|
self.EXP_CODE = None
|
|
1791
|
self.EXP_CODE = None
|
|
|
1793
|
self.SUB_EXP_CODE = None
|
|
1792
|
self.SUB_EXP_CODE = None
|
|
|
1794
|
self.PLOT_POS = None
|
|
1793
|
self.PLOT_POS = None
|
|
|
1795
|
|
|
1794
|
|
|
|
1796
|
self.__xfilter_ena = False
|
|
1795
|
self.__xfilter_ena = False
|
|
|
1797
|
self.__yfilter_ena = False
|
|
1796
|
self.__yfilter_ena = False
|
|
|
1798
|
|
|
1797
|
|
|
|
1799
|
def getSubplots(self):
|
|
1798
|
def getSubplots(self):
|
|
|
1800
|
|
|
1799
|
|
|
|
1801
|
ncol = 3
|
|
1800
|
ncol = 3
|
|
|
1802
|
nrow = int(numpy.ceil(self.nplots/3.0))
|
|
1801
|
nrow = int(numpy.ceil(self.nplots/3.0))
|
|
|
1803
|
|
|
1802
|
|
|
|
1804
|
return nrow, ncol
|
|
1803
|
return nrow, ncol
|
|
|
1805
|
|
|
1804
|
|
|
|
1806
|
def setup(self, id, nplots, wintitle, show=True):
|
|
1805
|
def setup(self, id, nplots, wintitle, show=True):
|
|
|
1807
|
|
|
1806
|
|
|
|
1808
|
self.nplots = nplots
|
|
1807
|
self.nplots = nplots
|
|
|
1809
|
|
|
1808
|
|
|
|
1810
|
ncolspan = 1
|
|
1809
|
ncolspan = 1
|
|
|
1811
|
colspan = 1
|
|
1810
|
colspan = 1
|
|
|
1812
|
|
|
1811
|
|
|
|
1813
|
self.createFigure(id = id,
|
|
1812
|
self.createFigure(id = id,
|
|
|
1814
|
wintitle = wintitle,
|
|
1813
|
wintitle = wintitle,
|
|
|
1815
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
1814
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
1816
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
1815
|
heightplot = self.HEIGHT + self.HEIGHTPROF,
|
|
|
1817
|
show=show)
|
|
1816
|
show=show)
|
|
|
1818
|
|
|
1817
|
|
|
|
1819
|
nrow, ncol = self.getSubplots()
|
|
1818
|
nrow, ncol = self.getSubplots()
|
|
|
1820
|
|
|
1819
|
|
|
|
1821
|
counter = 0
|
|
1820
|
counter = 0
|
|
|
1822
|
for y in range(nrow):
|
|
1821
|
for y in range(nrow):
|
|
|
1823
|
for x in range(ncol):
|
|
1822
|
for x in range(ncol):
|
|
|
1824
|
|
|
1823
|
|
|
|
1825
|
if counter >= self.nplots:
|
|
1824
|
if counter >= self.nplots:
|
|
|
1826
|
break
|
|
1825
|
break
|
|
|
1827
|
|
|
1826
|
|
|
|
1828
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
1827
|
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
|
|
|
1829
|
|
|
1828
|
|
|
|
1830
|
counter += 1
|
|
1829
|
counter += 1
|
|
|
1831
|
|
|
1830
|
|
|
|
1832
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
|
|
1831
|
def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
|
|
|
1833
|
xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None,
|
|
1832
|
xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None,
|
|
|
1834
|
vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA',
|
|
1833
|
vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA',
|
|
|
1835
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
1834
|
save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
|
|
|
1836
|
server=None, folder=None, username=None, password=None,
|
|
1835
|
server=None, folder=None, username=None, password=None,
|
|
|
1837
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False,
|
|
1836
|
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False,
|
|
|
1838
|
xaxis="frequency"):
|
|
1837
|
xaxis="frequency"):
|
|
|
1839
|
|
|
1838
|
|
|
|
1840
|
"""
|
|
1839
|
"""
|
|
|
1841
|
|
|
1840
|
|
|
|
1842
|
Input:
|
|
1841
|
Input:
|
|
|
1843
|
dataOut :
|
|
1842
|
dataOut :
|
|
|
1844
|
id :
|
|
1843
|
id :
|
|
|
1845
|
wintitle :
|
|
1844
|
wintitle :
|
|
|
1846
|
channelList :
|
|
1845
|
channelList :
|
|
|
1847
|
showProfile :
|
|
1846
|
showProfile :
|
|
|
1848
|
xmin : None,
|
|
1847
|
xmin : None,
|
|
|
1849
|
xmax : None,
|
|
1848
|
xmax : None,
|
|
|
1850
|
ymin : None,
|
|
1849
|
ymin : None,
|
|
|
1851
|
ymax : None,
|
|
1850
|
ymax : None,
|
|
|
1852
|
zmin : None,
|
|
1851
|
zmin : None,
|
|
|
1853
|
zmax : None
|
|
1852
|
zmax : None
|
|
|
1854
|
"""
|
|
1853
|
"""
|
|
|
1855
|
#Rebuild matrix
|
|
1854
|
#Rebuild matrix
|
|
|
1856
|
utctime = dataOut.data_param[0,0]
|
|
1855
|
utctime = dataOut.data_param[0,0]
|
|
|
1857
|
cmet = dataOut.data_param[:,1].astype(int)
|
|
1856
|
cmet = dataOut.data_param[:,1].astype(int)
|
|
|
1858
|
tmet = dataOut.data_param[:,2].astype(int)
|
|
1857
|
tmet = dataOut.data_param[:,2].astype(int)
|
|
|
1859
|
hmet = dataOut.data_param[:,3].astype(int)
|
|
1858
|
hmet = dataOut.data_param[:,3].astype(int)
|
|
|
1860
|
|
|
1859
|
|
|
|
1861
|
nParam = 3
|
|
1860
|
nParam = 3
|
|
|
1862
|
nChan = len(dataOut.groupList)
|
|
1861
|
nChan = len(dataOut.groupList)
|
|
|
1863
|
x = dataOut.abscissaList
|
|
1862
|
x = dataOut.abscissaList
|
|
|
1864
|
y = dataOut.heightList
|
|
1863
|
y = dataOut.heightList
|
|
|
1865
|
|
|
1864
|
|
|
|
1866
|
z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan)
|
|
1865
|
z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan)
|
|
|
1867
|
z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:]
|
|
1866
|
z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:]
|
|
|
1868
|
z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale
|
|
1867
|
z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale
|
|
|
1869
|
z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1))
|
|
1868
|
z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1))
|
|
|
1870
|
|
|
1869
|
|
|
|
1871
|
xlabel = "Time (s)"
|
|
1870
|
xlabel = "Time (s)"
|
|
|
1872
|
ylabel = "Range (km)"
|
|
1871
|
ylabel = "Range (km)"
|
|
|
1873
|
|
|
1872
|
|
|
|
1874
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
1873
|
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime)
|
|
|
1875
|
|
|
1874
|
|
|
|
1876
|
if not self.isConfig:
|
|
1875
|
if not self.isConfig:
|
|
|
1877
|
|
|
1876
|
|
|
|
1878
|
nplots = nParam*nChan
|
|
1877
|
nplots = nParam*nChan
|
|
|
1879
|
|
|
1878
|
|
|
|
1880
|
self.setup(id=id,
|
|
1879
|
self.setup(id=id,
|
|
|
1881
|
nplots=nplots,
|
|
1880
|
nplots=nplots,
|
|
|
1882
|
wintitle=wintitle,
|
|
1881
|
wintitle=wintitle,
|
|
|
1883
|
show=show)
|
|
1882
|
show=show)
|
|
|
1884
|
|
|
1883
|
|
|
|
1885
|
if xmin is None: xmin = numpy.nanmin(x)
|
|
1884
|
if xmin is None: xmin = numpy.nanmin(x)
|
|
|
1886
|
if xmax is None: xmax = numpy.nanmax(x)
|
|
1885
|
if xmax is None: xmax = numpy.nanmax(x)
|
|
|
1887
|
if ymin is None: ymin = numpy.nanmin(y)
|
|
1886
|
if ymin is None: ymin = numpy.nanmin(y)
|
|
|
1888
|
if ymax is None: ymax = numpy.nanmax(y)
|
|
1887
|
if ymax is None: ymax = numpy.nanmax(y)
|
|
|
1889
|
if SNRmin is None: SNRmin = numpy.nanmin(z[0,:])
|
|
1888
|
if SNRmin is None: SNRmin = numpy.nanmin(z[0,:])
|
|
|
1890
|
if SNRmax is None: SNRmax = numpy.nanmax(z[0,:])
|
|
1889
|
if SNRmax is None: SNRmax = numpy.nanmax(z[0,:])
|
|
|
1891
|
if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:]))
|
|
1890
|
if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:]))
|
|
|
1892
|
if vmin is None: vmin = -vmax
|
|
1891
|
if vmin is None: vmin = -vmax
|
|
|
1893
|
if wmin is None: wmin = 0
|
|
1892
|
if wmin is None: wmin = 0
|
|
|
1894
|
if wmax is None: wmax = 50
|
|
1893
|
if wmax is None: wmax = 50
|
|
|
1895
|
|
|
1894
|
|
|
|
1896
|
self.nChannels = nChan
|
|
1895
|
self.nChannels = nChan
|
|
|
1897
|
|
|
1896
|
|
|
|
1898
|
zminList = []
|
|
1897
|
zminList = []
|
|
|
1899
|
zmaxList = []
|
|
1898
|
zmaxList = []
|
|
|
1900
|
titleList = []
|
|
1899
|
titleList = []
|
|
|
1901
|
cmapList = []
|
|
1900
|
cmapList = []
|
|
|
1902
|
for i in range(self.nChannels):
|
|
1901
|
for i in range(self.nChannels):
|
|
|
1903
|
strAux1 = "SNR Channel "+ str(i)
|
|
1902
|
strAux1 = "SNR Channel "+ str(i)
|
|
|
1904
|
strAux2 = "Radial Velocity Channel "+ str(i)
|
|
1903
|
strAux2 = "Radial Velocity Channel "+ str(i)
|
|
|
1905
|
strAux3 = "Spectral Width Channel "+ str(i)
|
|
1904
|
strAux3 = "Spectral Width Channel "+ str(i)
|
|
|
1906
|
|
|
1905
|
|
|
|
1907
|
titleList = titleList + [strAux1,strAux2,strAux3]
|
|
1906
|
titleList = titleList + [strAux1,strAux2,strAux3]
|
|
|
1908
|
cmapList = cmapList + ["jet","RdBu_r","jet"]
|
|
1907
|
cmapList = cmapList + ["jet","RdBu_r","jet"]
|
|
|
1909
|
zminList = zminList + [SNRmin,vmin,wmin]
|
|
1908
|
zminList = zminList + [SNRmin,vmin,wmin]
|
|
|
1910
|
zmaxList = zmaxList + [SNRmax,vmax,wmax]
|
|
1909
|
zmaxList = zmaxList + [SNRmax,vmax,wmax]
|
|
|
1911
|
|
|
1910
|
|
|
|
1912
|
self.zminList = zminList
|
|
1911
|
self.zminList = zminList
|
|
|
1913
|
self.zmaxList = zmaxList
|
|
1912
|
self.zmaxList = zmaxList
|
|
|
1914
|
self.cmapList = cmapList
|
|
1913
|
self.cmapList = cmapList
|
|
|
1915
|
self.titleList = titleList
|
|
1914
|
self.titleList = titleList
|
|
|
1916
|
|
|
1915
|
|
|
|
1917
|
self.FTP_WEI = ftp_wei
|
|
1916
|
self.FTP_WEI = ftp_wei
|
|
|
1918
|
self.EXP_CODE = exp_code
|
|
1917
|
self.EXP_CODE = exp_code
|
|
|
1919
|
self.SUB_EXP_CODE = sub_exp_code
|
|
1918
|
self.SUB_EXP_CODE = sub_exp_code
|
|
|
1920
|
self.PLOT_POS = plot_pos
|
|
1919
|
self.PLOT_POS = plot_pos
|
|
|
1921
|
|
|
1920
|
|
|
|
1922
|
self.isConfig = True
|
|
1921
|
self.isConfig = True
|
|
|
1923
|
|
|
1922
|
|
|
|
1924
|
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
1923
|
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
|
|
|
1925
|
|
|
1924
|
|
|
|
1926
|
for i in range(self.nplots):
|
|
1925
|
for i in range(self.nplots):
|
|
|
1927
|
title = self.titleList[i] + ": " +str_datetime
|
|
1926
|
title = self.titleList[i] + ": " +str_datetime
|
|
|
1928
|
axes = self.axesList[i]
|
|
1927
|
axes = self.axesList[i]
|
|
|
1929
|
axes.pcolor(x, y, z[i,:].T,
|
|
1928
|
axes.pcolor(x, y, z[i,:].T,
|
|
|
1930
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i],
|
|
1929
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i],
|
|
|
1931
|
xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='')
|
|
1930
|
xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='')
|
|
|
1932
|
self.draw()
|
|
1931
|
self.draw()
|
|
|
1933
|
|
|
1932
|
|
|
|
1934
|
if figfile == None:
|
|
1933
|
if figfile == None:
|
|
|
1935
|
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
1934
|
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
|
|
|
1936
|
name = str_datetime
|
|
1935
|
name = str_datetime
|
|
|
1937
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
1936
|
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
|
|
|
1938
|
name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
|
|
1937
|
name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
|
|
|
1939
|
figfile = self.getFilename(name)
|
|
1938
|
figfile = self.getFilename(name)
|
|
|
1940
|
|
|
1939
|
|
|
|
1941
|
self.save(figpath=figpath,
|
|
1940
|
self.save(figpath=figpath,
|
|
|
1942
|
figfile=figfile,
|
|
1941
|
figfile=figfile,
|
|
|
1943
|
save=save,
|
|
1942
|
save=save,
|
|
|
1944
|
ftp=ftp,
|
|
1943
|
ftp=ftp,
|
|
|
1945
|
wr_period=wr_period,
|
|
1944
|
wr_period=wr_period,
|
|
|
1946
|
thisDatetime=thisDatetime)
|
|
1945
|
thisDatetime=thisDatetime)
|
