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import os
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import datetime
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import numpy
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import copy
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from schainpy.model.graphics.jroplot_base import Plot
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class CorrelationPlot(Plot):
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isConfig = None
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__nsubplots = None
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WIDTHPROF = None
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HEIGHTPROF = None
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PREFIX = 'corr'
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def __init__(self, **kwargs):
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Figure.__init__(self, **kwargs)
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self.isConfig = False
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self.__nsubplots = 1
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self.WIDTH = 280
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self.HEIGHT = 250
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self.WIDTHPROF = 120
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self.HEIGHTPROF = 0
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self.counter_imagwr = 0
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self.PLOT_CODE = 1
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self.FTP_WEI = None
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self.EXP_CODE = None
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self.SUB_EXP_CODE = None
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self.PLOT_POS = None
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def getSubplots(self):
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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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return nrow, ncol
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def setup(self, id, nplots, wintitle, showprofile=False, show=True):
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showprofile = False
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self.__showprofile = showprofile
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self.nplots = nplots
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ncolspan = 1
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colspan = 1
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if showprofile:
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ncolspan = 3
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colspan = 2
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self.__nsubplots = 2
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self.createFigure(id = id,
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wintitle = wintitle,
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widthplot = self.WIDTH + self.WIDTHPROF,
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heightplot = self.HEIGHT + self.HEIGHTPROF,
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show=show)
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nrow, ncol = self.getSubplots()
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counter = 0
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for y in range(nrow):
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for x in range(ncol):
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if counter >= self.nplots:
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break
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self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
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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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counter += 1
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def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
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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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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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"""
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Input:
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dataOut :
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id :
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wintitle :
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channelList :
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showProfile :
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xmin : None,
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xmax : None,
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ymin : None,
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ymax : None,
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zmin : None,
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zmax : None
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"""
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if dataOut.flagNoData:
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return None
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if realtime:
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if not(isRealtime(utcdatatime = dataOut.utctime)):
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print('Skipping this plot function')
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return
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if channelList == None:
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channelIndexList = dataOut.channelIndexList
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else:
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channelIndexList = []
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for channel in 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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channelIndexList.append(dataOut.channelList.index(channel))
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factor = dataOut.normFactor
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lenfactor = factor.shape[1]
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x = dataOut.getLagTRange(1)
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y = dataOut.getHeiRange()
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z = copy.copy(dataOut.data_corr[:,:,0,:])
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for i in range(dataOut.data_corr.shape[0]):
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z[i,:,:] = z[i,:,:]/factor[i,:]
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zdB = numpy.abs(z)
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avg = numpy.average(z, axis=1)
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# avg = numpy.nanmean(z, axis=1)
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# noise = dataOut.noise/factor
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#thisDatetime = dataOut.datatime
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thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
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title = wintitle + " Correlation"
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xlabel = "Lag T (s)"
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ylabel = "Range (Km)"
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if not self.isConfig:
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nplots = dataOut.data_corr.shape[0]
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self.setup(id=id,
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nplots=nplots,
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wintitle=wintitle,
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showprofile=showprofile,
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show=show)
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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 ymin == None: ymin = numpy.nanmin(y)
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if ymax == None: ymax = numpy.nanmax(y)
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if zmin == None: zmin = 0
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if zmax == None: zmax = 1
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self.FTP_WEI = ftp_wei
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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.PLOT_POS = plot_pos
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self.isConfig = True
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self.setWinTitle(title)
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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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title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0],dataOut.pairsList[i][1] , str_datetime)
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axes = self.axesList[i*self.__nsubplots]
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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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xlabel=xlabel, ylabel=ylabel, title=title,
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ticksize=9, cblabel='')
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# if self.__showprofile:
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# axes = self.axesList[i*self.__nsubplots +1]
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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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# xlabel='dB', ylabel='', title='',
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# ytick_visible=False,
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# grid='x')
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#
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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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self.draw()
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self.save(figpath=figpath,
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figfile=figfile,
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save=save,
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ftp=ftp,
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wr_period=wr_period,
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thisDatetime=thisDatetime)
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