schain Commit - r565:9a975da57daf · Jicamarca Repository

Timezone is taken from data and not from PC

Miguel Valdez -

r565:9a975da57daf

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r565:9a975da57daf

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schainpy/model/graphics/figure.py +3 -3

             import os
             import numpy
             import time, datetime
             import mpldriver
             import Queue
             import threading
             def isRealtime(utcdatatime):
                 utcnow = time.mktime(time.localtime())
                 delta = abs(utcnow - utcdatatime) # abs
                 if delta >= 30.:
                     return False
                 return True
             class Figure:
                 __driver = mpldriver
                 __isConfigThread = False
                 fig = None
                 id = None
                 wintitle = None
                 width = None
                 height = None
                 nplots = None
                 timerange = None
                 axesObjList = []
                 WIDTH = None
                 HEIGHT = None
                 PREFIX = 'fig'
                 xmin = None
                 xmax = None
                 def __init__(self):
                     raise ValueError, "This method is not implemented"
                 def __del__(self):
                     self.__driver.closeFigure()
                 def getFilename(self, name, ext='.png'):
                     path = '%s%03d' %(self.PREFIX, self.id)
                     filename = '%s_%s%s' %(self.PREFIX, name, ext)
                     return os.path.join(path, filename)
                 def getAxesObjList(self):
                     return self.axesObjList
                 def getSubplots(self):
                     raise ValueError, "Abstract method: This method should be defined"
                 def getScreenDim(self, widthplot, heightplot):
                     nrow, ncol = self.getSubplots()
                     widthscreen = widthplot*ncol
                     heightscreen = heightplot*nrow
                     return widthscreen, heightscreen
-                def getTimeLim(self, x, xmin=None, xmax=None, timerange=None):
+                def getTimeLim(self, x, xmin=None, xmax=None, timerange=None, timezone=0):
                     if self.xmin != None and self.xmax != None:
                         if timerange == None:
                             timerange = self.xmax - self.xmin
                         xmin = self.xmin + timerange
                         xmax = self.xmax + timerange
                         return xmin, xmax
                     if timerange != None and self.xmin == None and self.xmax == None:
                         txmin = x[0] - x[0]%timerange
                     else:
                         txmin = numpy.min(x)
                         timerange = self.timerange
                     thisdatetime = datetime.datetime.utcfromtimestamp(txmin)
                     thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0))
                     if xmin == None and xmax == None:
                         xmin = (thisdatetime - thisdate).seconds/(60*60.)
                         xmax = xmin + timerange/(60*60.)
-                    mindt = thisdate + datetime.timedelta(hours=xmin) - datetime.timedelta(seconds=time.timezone)
+                    mindt = thisdate + datetime.timedelta(hours=xmin) - datetime.timedelta(seconds=timezone)
                     xmin_sec = time.mktime(mindt.timetuple())
-                    maxdt = thisdate + datetime.timedelta(hours=xmax) - datetime.timedelta(seconds=time.timezone)
+                    maxdt = thisdate + datetime.timedelta(hours=xmax) - datetime.timedelta(seconds=timezone)
                     xmax_sec = time.mktime(maxdt.timetuple())
                     return xmin_sec, xmax_sec
             #         if timerange != None:
             #             txmin = x[0] - x[0]%timerange
             #         else:
             #             txmin = numpy.min(x)
             #
             #         thisdatetime = datetime.datetime.utcfromtimestamp(txmin)
             #         thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0))
             #
             #         ####################################################
             #         #If the x is out of xrange
             #         if xmax != None:
             #             if xmax < (thisdatetime - thisdate).seconds/(60*60.):
             #                 xmin = None
             #                 xmax = None
             #
             #         if xmin == None:
             #             td = thisdatetime - thisdate
             #             xmin = td.seconds/(60*60.)
             #
             #         if xmax == None:
             #             xmax = xmin + self.timerange/(60*60.)
             #
             #         mindt = thisdate + datetime.timedelta(hours=xmin) - datetime.timedelta(seconds=time.timezone)
             #         tmin = time.mktime(mindt.timetuple())
             #
             #         maxdt = thisdate + datetime.timedelta(hours=xmax) - datetime.timedelta(seconds=time.timezone)
             #         tmax = time.mktime(maxdt.timetuple())
             #
             #         #self.timerange = tmax - tmin
             #
             #         return tmin, tmax
                 def init(self, id, nplots, wintitle):
                     raise ValueError, "This method has been replaced with createFigure"
                 def createFigure(self, id, wintitle, widthplot=None, heightplot=None, show=True):
                     """
                     Crea la figura de acuerdo al driver y parametros seleccionados seleccionados.
                     Las dimensiones de la pantalla es calculada a partir de los atributos self.WIDTH
                     y self.HEIGHT y el numero de subplots (nrow, ncol)
                     Input:
                         id    :    Los parametros necesarios son
                         wintitle    :
                     """
                     if widthplot == None:
                         widthplot = self.WIDTH
                     if heightplot == None:
                         heightplot = self.HEIGHT
                     self.id = id
                     self.wintitle = wintitle
                     self.widthscreen, self.heightscreen = self.getScreenDim(widthplot, heightplot)
                     self.fig = self.__driver.createFigure(id=self.id,
                                                           wintitle=self.wintitle,
                                                           width=self.widthscreen,
                                                           height=self.heightscreen,
                                                           show=show)
                     self.axesObjList = []
                 def setDriver(self, driver=mpldriver):
                     self.__driver = driver
                 def setTitle(self, title):
                     self.__driver.setTitle(self.fig, title)
                 def setWinTitle(self, title):
                     self.__driver.setWinTitle(self.fig, title=title)
                 def setTextFromAxes(self, text):
                     raise ValueError, "Este metodo ha sido reemplazaado con el metodo setText de la clase Axes"
                 def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan):
                     raise ValueError, "Este metodo ha sido reemplazaado con el metodo addAxes"
                 def addAxes(self, *args):
                     """
                     Input:
                         *args    :    Los parametros necesarios son
                                       nrow, ncol, xpos, ypos, colspan, rowspan
                     """
                     axesObj = Axes(self.fig, *args)
                     self.axesObjList.append(axesObj)
                 def saveFigure(self, figpath, figfile, *args):
                     filename = os.path.join(figpath, figfile)
                     fullpath = os.path.split(filename)[0]
                     if not os.path.exists(fullpath):
                         subpath = os.path.split(fullpath)[0]
                         if not os.path.exists(subpath):
                             os.mkdir(subpath)
                         os.mkdir(fullpath)
                     self.__driver.saveFigure(self.fig, filename, *args)
                 def getNameToFtp(self, thisDatetime, FTP_WEI, EXP_CODE, SUB_EXP_CODE, PLOT_CODE, PLOT_POS):
                     YEAR_STR = '%4.4d'%thisDatetime.timetuple().tm_year
                     DOY_STR = '%3.3d'%thisDatetime.timetuple().tm_yday
                     FTP_WEI = '%2.2d'%FTP_WEI
                     EXP_CODE = '%3.3d'%EXP_CODE
                     SUB_EXP_CODE = '%2.2d'%SUB_EXP_CODE
                     PLOT_CODE = '%2.2d'%PLOT_CODE
                     PLOT_POS = '%2.2d'%PLOT_POS
                     name = YEAR_STR + DOY_STR + FTP_WEI + EXP_CODE + SUB_EXP_CODE + PLOT_CODE + PLOT_POS
                     return name
                 def draw(self):
                     self.__driver.draw(self.fig)
                 def run(self):
                     raise ValueError, "This method is not implemented"
                 def close(self):
                     self.__driver.show(True)
                 axesList = property(getAxesObjList)
             class Axes:
                 __driver = mpldriver
                 fig = None
                 ax = None
                 plot = None
                 __missing = 1E30
                 __firsttime = None
                 __showprofile = False
                 xmin = None
                 xmax = None
                 ymin = None
                 ymax = None
                 zmin = None
                 zmax = None
                 x_buffer = None
                 z_buffer = None
                 decimationx = None
                 decimationy = None
                 __MAXNUMX = 300
                 __MAXNUMY = 150
                 def __init__(self, *args):
                     """
                     Input:
                         *args    :    Los parametros necesarios son
                                       fig, nrow, ncol, xpos, ypos, colspan, rowspan
                     """
                     ax = self.__driver.createAxes(*args)
                     self.fig = args[0]
                     self.ax = ax
                     self.plot = None
                     self.__firsttime = True
                     self.idlineList = []
                     self.x_buffer = numpy.array([])
                     self.z_buffer = numpy.array([])
                 def setText(self, text):
                     self.__driver.setAxesText(self.ax, text)
                 def setXAxisAsTime(self):
                     pass
                 def pline(self, x, y,
                            xmin=None, xmax=None,
                            ymin=None, ymax=None,
                            xlabel='', ylabel='',
                            title='',
                            **kwargs):
                     """
                     Input:
                         x        :
                         y        :
                         xmin    :
                         xmax    :
                         ymin    :
                         ymax    :
                         xlabel    :
                         ylabel    :
                         title    :
                         **kwargs :    Los parametros aceptados son
                                       ticksize
                                       ytick_visible
                     """
                     if self.__firsttime:
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         self.plot = self.__driver.createPline(self.ax, x, y,
                                                               xmin, xmax,
                                                               ymin, ymax,
                                                               xlabel=xlabel,
                                                                 ylabel=ylabel,
                                                                 title=title,
                                                               **kwargs)
                         self.idlineList.append(0)
                         self.__firsttime = False
                         return
                     self.__driver.pline(self.plot, x, y, xlabel=xlabel,
                                                                 ylabel=ylabel,
                                                                 title=title)
                 def addpline(self, x, y, idline, **kwargs):
                     lines = self.ax.lines
                     if idline in self.idlineList:
                         self.__driver.set_linedata(self.ax, x, y, idline)
                     if  idline not in(self.idlineList):
                         self.__driver.addpline(self.ax, x, y, **kwargs)
                         self.idlineList.append(idline)
                     return
                 def pmultiline(self, x, y,
                                xmin=None, xmax=None,
                                ymin=None, ymax=None,
                                xlabel='', ylabel='',
                                title='',
                                **kwargs):
                     if self.__firsttime:
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         self.plot = self.__driver.createPmultiline(self.ax, x, y,
                                                               xmin, xmax,
                                                               ymin, ymax,
                                                               xlabel=xlabel,
                                                               ylabel=ylabel,
                                                               title=title,
                                                               **kwargs)
                         self.__firsttime = False
                         return
                     self.__driver.pmultiline(self.plot, x, y, xlabel=xlabel,
                                                                 ylabel=ylabel,
                                                                 title=title)
                 def pmultilineyaxis(self, x, y,
                                xmin=None, xmax=None,
                                ymin=None, ymax=None,
                                xlabel='', ylabel='',
                                title='',
                                **kwargs):
                     if self.__firsttime:
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         self.plot = self.__driver.createPmultilineYAxis(self.ax, x, y,
                                                               xmin, xmax,
                                                               ymin, ymax,
                                                               xlabel=xlabel,
                                                               ylabel=ylabel,
                                                               title=title,
                                                               **kwargs)
                         if self.xmin == None: self.xmin = xmin
                         if self.xmax == None: self.xmax = xmax
                         if self.ymin == None: self.ymin = ymin
                         if self.ymax == None: self.ymax = ymax
                         self.__firsttime = False
                         return
                     self.__driver.pmultilineyaxis(self.plot, x, y, xlabel=xlabel,
                                                                 ylabel=ylabel,
                                                                 title=title)
                 def pcolor(self, x, y, z,
                            xmin=None, xmax=None,
                            ymin=None, ymax=None,
                            zmin=None, zmax=None,
                            xlabel='', ylabel='',
                            title='', rti = False, colormap='jet',
                            **kwargs):
                     """
                     Input:
                         x        :
                         y        :
                         x        :
                         xmin    :
                         xmax    :
                         ymin    :
                         ymax    :
                         zmin    :
                         zmax    :
                         xlabel    :
                         ylabel    :
                         title    :
                         **kwargs :    Los parametros aceptados son
                                       ticksize=9,
                                       cblabel=''
                                       rti = True or False
                     """
                     if self.__firsttime:
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(z)
                         if zmax == None: zmax = numpy.nanmax(z)
                         self.plot = self.__driver.createPcolor(self.ax, x, y, z,
                                                                xmin, xmax,
                                                                ymin, ymax,
                                                                zmin, zmax,
                                                                xlabel=xlabel,
                                                                 ylabel=ylabel,
                                                                 title=title,
                                                                 colormap=colormap,
                                                                 **kwargs)
                         if self.xmin == None: self.xmin = xmin
                         if self.xmax == None: self.xmax = xmax
                         if self.ymin == None: self.ymin = ymin
                         if self.ymax == None: self.ymax = ymax
                         if self.zmin == None: self.zmin = zmin
                         if self.zmax == None: self.zmax = zmax
                         self.__firsttime = False
                         return
                     if rti:
                         self.__driver.addpcolor(self.ax, x, y, z, self.zmin, self.zmax,
                                                 xlabel=xlabel,
                                                 ylabel=ylabel,
                                                 title=title,
                                                 colormap=colormap)
                         return
                     self.__driver.pcolor(self.plot, z,
                                          xlabel=xlabel,
                                          ylabel=ylabel,
                                          title=title)
                 def pcolorbuffer(self, x, y, z,
                            xmin=None, xmax=None,
                            ymin=None, ymax=None,
                            zmin=None, zmax=None,
                            xlabel='', ylabel='',
                            title='', rti = True, colormap='jet',
                            maxNumX = None, maxNumY = None,
                            **kwargs):
                     if maxNumX == None:
                         maxNumX = self.__MAXNUMX
                     if maxNumY == None:
                         maxNumY = self.__MAXNUMY
                     if self.__firsttime:
                         self.z_buffer = z
                         self.x_buffer = numpy.hstack((self.x_buffer, x))
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(z)
                         if zmax == None: zmax = numpy.nanmax(z)
                         self.plot = self.__driver.createPcolor(self.ax, self.x_buffer, y, z,
                                                                xmin, xmax,
                                                                ymin, ymax,
                                                                zmin, zmax,
                                                                xlabel=xlabel,
                                                                 ylabel=ylabel,
                                                                 title=title,
                                                                 colormap=colormap,
                                                                 **kwargs)
                         if self.xmin == None: self.xmin = xmin
                         if self.xmax == None: self.xmax = xmax
                         if self.ymin == None: self.ymin = ymin
                         if self.ymax == None: self.ymax = ymax
                         if self.zmin == None: self.zmin = zmin
                         if self.zmax == None: self.zmax = zmax
                         self.__firsttime = False
                         return
                     self.x_buffer = numpy.hstack((self.x_buffer, x[-1]))
                     self.z_buffer = numpy.hstack((self.z_buffer, z))
                     if self.decimationx == None:
                         deltax = float(self.xmax - self.xmin)/maxNumX
                         deltay = float(self.ymax - self.ymin)/maxNumY
                         resolutionx = self.x_buffer[2]-self.x_buffer[0]
                         resolutiony = y[1]-y[0]
                         self.decimationx = numpy.ceil(deltax / resolutionx)
                         self.decimationy = numpy.ceil(deltay / resolutiony)
                     z_buffer = self.z_buffer.reshape(-1,len(y))
                     x_buffer = self.x_buffer[::self.decimationx]
                     y_buffer = y[::self.decimationy]
                     z_buffer = z_buffer[::self.decimationx, ::self.decimationy]
                     #===================================================
                     x_buffer, y_buffer, z_buffer = self.__fillGaps(x_buffer, y_buffer, z_buffer)
                     self.__driver.addpcolorbuffer(self.ax, x_buffer, y_buffer, z_buffer, self.zmin, self.zmax,
                                             xlabel=xlabel,
                                             ylabel=ylabel,
                                             title=title,
                                             colormap=colormap)
                 def polar(self, x, y,
                            title='', xlabel='',ylabel='',**kwargs):
                     if self.__firsttime:
                         self.plot = self.__driver.createPolar(self.ax, x, y, title = title, xlabel = xlabel, ylabel = ylabel)
                         self.__firsttime = False
                         self.x_buffer = x
                         self.y_buffer = y
                         return
                     self.x_buffer = numpy.hstack((self.x_buffer,x))
                     self.y_buffer = numpy.hstack((self.y_buffer,y))
                     self.__driver.polar(self.plot, self.x_buffer, self.y_buffer, xlabel=xlabel,
                                                         ylabel=ylabel,
                                                         title=title)
                 def __fillGaps(self, x_buffer, y_buffer, z_buffer):
                     deltas = x_buffer[1:] - x_buffer[0:-1]
                     x_median = numpy.median(deltas)
                     index = numpy.where(deltas >= 2*x_median)
                     if len(index[0]) != 0:
                         z_buffer[index[0],::] = self.__missing
                         z_buffer = numpy.ma.masked_inside(z_buffer,0.99*self.__missing,1.01*self.__missing)
                     return x_buffer, y_buffer, z_buffer
   No newline at end of file

schainpy/model/graphics/jroplot_heispectra.py +1 -1

             '''
             @author: Daniel Suarez
             '''
             import os
             import datetime
             import numpy
             from figure import Figure, isRealtime
             class SpectraHeisScope(Figure):
                 isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'spc'
                 def __init__(self):
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 230
                     self.HEIGHT = 250
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                 def getSubplots(self):
                     ncol = int(numpy.sqrt(self.nplots)+0.9)
                     nrow = int(self.nplots*1./ncol + 0.9)
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, show):
                     showprofile = False
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     if showprofile:
                         ncolspan = 3
                         colspan = 2
                         self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show = show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             if counter >= self.nplots:
                                 break
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                             counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None,
                         xmin=None, xmax=None, ymin=None, ymax=None, save=False,
                         figpath='', figfile=None, ftp=False, wr_period=1, show=True,
                         server=None, folder=None, username=None, password=None):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                     """
                     if dataOut.realtime:
                         if not(isRealtime(utcdatatime = dataOut.utctime)):
                             print 'Skipping this plot function'
                             return
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
             #        x = dataOut.heightList
                     c   =  3E8
                     deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
                     #deberia cambiar para el caso de 1Mhz y 100KHz
                     x = numpy.arange(-1*dataOut.nHeights/2.,dataOut.nHeights/2.)*(c/(2*deltaHeight*dataOut.nHeights*1000))
                     #para 1Mhz descomentar la siguiente linea
                     #x= x/(10000.0)
             #        y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
             #        y = y.real
                     factor = dataOut.normFactor
                     data = dataOut.data_spc / factor
                     datadB = 10.*numpy.log10(data)
                     y = datadB
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                     xlabel = ""
                     #para 1Mhz descomentar la siguiente linea
                     #xlabel = "Frequency x 10000"
                     ylabel = "Intensity (dB)"
                     if not self.isConfig:
                         nplots = len(channelIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    show=show)
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         self.isConfig = True
                     self.setWinTitle(title)
                     for i in range(len(self.axesList)):
                         ychannel = y[i,:]
                         str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
                         title = "Channel %d: %4.2fdB: %s" %(i, numpy.max(ychannel), str_datetime)
                         axes = self.axesList[i]
                         axes.pline(x, ychannel,
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, grid='both')
                     self.draw()
                     if figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, figfile)
                             # store png plot to FTP server according to RT-Web format
                             #name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             #ftp_filename = os.path.join(figpath, name)
                             #self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class RTIfromSpectraHeis(Figure):
                 isConfig = None
                 __nsubplots = None
                 PREFIX = 'rtinoise'
                 def __init__(self):
                     self.timerange = 24*60*60
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 820
                     self.HEIGHT = 200
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.xdata = None
                     self.ydata = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = 1
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 7
                     colspan = 6
                     self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH+self.WIDTHPROF,
                                       heightplot = self.HEIGHT+self.HEIGHTPROF,
                                       show = show)
                     nrow, ncol = self.getSubplots()
                     self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
                         xmin=None, xmax=None, ymin=None, ymax=None,
                         timerange=None,
                         save=False, figpath='', figfile=None, ftp=False, wr_period=1, show=True,
                         server=None, folder=None, username=None, password=None):
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                         channelList = dataOut.channelList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     if timerange != None:
                         self.timerange = timerange
                     tmin = None
                     tmax = None
                     x = dataOut.getTimeRange()
                     y = dataOut.getHeiRange()
                     factor = dataOut.normFactor
                     data = dataOut.data_spc / factor
                     data = numpy.average(data,axis=1)
                     datadB = 10*numpy.log10(data)
             #        factor = dataOut.normFactor
             #        noise = dataOut.getNoise()/factor
             #        noisedB = 10*numpy.log10(noise)
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " RTI: %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = "Local Time"
                     ylabel = "Intensity (dB)"
                     if not self.isConfig:
                         nplots = 1
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        tmin, tmax = self.getTimeLim(x, xmin, xmax)
+                        tmin, tmax = self.getTimeLim(x, xmin, xmax, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(datadB)
                         if ymax == None: ymax = numpy.nanmax(datadB)
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.isConfig = True
                         self.figfile = figfile
                         self.xdata = numpy.array([])
                         self.ydata = numpy.array([])
                     self.setWinTitle(title)
             #        title = "RTI %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     title = "RTI - %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                     legendlabels = ["channel %d"%idchannel for idchannel in channelList]
                     axes = self.axesList[0]
                     self.xdata = numpy.hstack((self.xdata, x[0:1]))
                     if len(self.ydata)==0:
                         self.ydata = datadB[channelIndexList].reshape(-1,1)
                     else:
                         self.ydata = numpy.hstack((self.ydata, datadB[channelIndexList].reshape(-1,1)))
                     axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
                                 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
                                 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='.', markersize=8, linestyle="solid", grid='both',
                                 XAxisAsTime=True
                                 )
                     self.draw()
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         del self.xdata
                         del self.ydata
                         self.__isConfig = False
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             #name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             #ftp_filename = os.path.join(figpath, name)
                             #self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0

schainpy/model/graphics/jroplot_parameters.py +3 -3

             import os
             import datetime
             import numpy
             from figure import Figure, isRealtime
             class MomentsPlot(Figure):
                 isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'prm'
                 def __init__(self):
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 280
                     self.HEIGHT = 250
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 1
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                 def getSubplots(self):
                     ncol = int(numpy.sqrt(self.nplots)+0.9)
                     nrow = int(self.nplots*1./ncol + 0.9)
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     if showprofile:
                         ncolspan = 3
                         colspan = 2
                         self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             if counter >= self.nplots:
                                 break
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                             counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         save=False, figpath='', figfile=None, show=True, ftp=False, wr_period=1,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if dataOut.flagNoData:
                         return None
                     if realtime:
                         if not(isRealtime(utcdatatime = dataOut.utctime)):
                             print 'Skipping this plot function'
                             return
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     factor = dataOut.normFactor
                     x = dataOut.abscissaList
                     y = dataOut.heightList
                     z = dataOut.data_pre[channelIndexList,:,:]/factor
                     z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
                     avg = numpy.average(z, axis=1)
                     noise = dataOut.noise/factor
                     zdB = 10*numpy.log10(z)
                     avgdB = 10*numpy.log10(avg)
                     noisedB = 10*numpy.log10(noise)
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Parameters"
                     xlabel = "Velocity (m/s)"
                     ylabel = "Range (Km)"
                     if not self.isConfig:
                         nplots = len(channelIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
                         if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.isConfig = True
                     self.setWinTitle(title)
                     for i in range(self.nplots):
                         str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
                         title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
                         axes = self.axesList[i*self.__nsubplots]
                         axes.pcolor(x, y, zdB[i,:,:],
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title,
                                     ticksize=9, cblabel='')
                                     #Mean Line
                         mean = dataOut.data_param[i, 1, :]
                         axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
                         if self.__showprofile:
                             axes = self.axesList[i*self.__nsubplots +1]
                             axes.pline(avgdB[i], y,
                                     xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
                                     xlabel='dB', ylabel='', title='',
                                     ytick_visible=False,
                                     grid='x')
                             noiseline = numpy.repeat(noisedB[i], len(y))
                             axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
                     self.draw()
                     if figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class SkyMapPlot(Figure):
                 __isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'prm'
                 def __init__(self):
                     self.__isConfig = False
                     self.__nsubplots = 1
             #         self.WIDTH = 280
             #         self.HEIGHT = 250
                     self.WIDTH = 600
                     self.HEIGHT = 600
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 1
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                 def getSubplots(self):
                     ncol = int(numpy.sqrt(self.nplots)+0.9)
                     nrow = int(self.nplots*1./ncol + 0.9)
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH, #+ self.WIDTHPROF,
                                       heightplot = self.HEIGHT,# + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = 1,1
                     counter = 0
                     x = 0
                     y = 0
                     self.addAxes(1, 1, 0, 0, 1, 1, True)
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     arrayParameters = dataOut.data_param
                     error = arrayParameters[:,-1]
                     indValid = numpy.where(error == 0)[0]
                     finalMeteor = arrayParameters[indValid,:]
                     finalAzimuth = finalMeteor[:,4]
                     finalZenith = finalMeteor[:,5]
                     x = finalAzimuth*numpy.pi/180
                     y = finalZenith
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Parameters"
                     xlabel = "Zonal Zenith Angle (deg) "
                     ylabel = "Meridional Zenith Angle (deg)"
                     if not self.__isConfig:
                         nplots = 1
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
                         self.__isConfig = True
                     self.setWinTitle(title)
                     i = 0
                     str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
                     axes = self.axesList[i*self.__nsubplots]
                     nevents = axes.x_buffer.shape[0] + x.shape[0]
                     title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
                     axes.polar(x, y,
                                 title=title, xlabel=xlabel, ylabel=ylabel,
                                 ticksize=9, cblabel='')
                     self.draw()
                     if save:
                         self.counter_imagwr += 1
                         if (self.counter_imagwr==wr_period):
                             if figfile == None:
                                 figfile = self.getFilename(name = self.name)
                             self.saveFigure(figpath, figfile)
                             if ftp:
                                 #provisionalmente envia archivos en el formato de la web en tiempo real
                                 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                                 path = '%s%03d' %(self.PREFIX, self.id)
                                 ftp_file = os.path.join(path,'ftp','%s.png'%name)
                                 self.saveFigure(figpath, ftp_file)
                                 ftp_filename = os.path.join(figpath,ftp_file)
                                 try:
                                     self.sendByFTP(ftp_filename, server, folder, username, password)
                                 except:
                                     self.counter_imagwr = 0
                                     raise ValueError, 'Error FTP'
                             self.counter_imagwr = 0
             class WindProfilerPlot(Figure):
                 __isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'wind'
                 def __init__(self):
                     self.timerange = 2*60*60
                     self.__isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 800
                     self.HEIGHT = 150
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 0
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.tmin = None
                     self.tmax = None
                     self.xmin = None
                     self.xmax = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = self.nplots
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         if counter >= self.nplots:
                             break
                         self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
                         counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
                         timerange=None, SNRthresh = None,
                         save=False, figpath='', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     if timerange != None:
                         self.timerange = timerange
                     tmin = None
                     tmax = None
                     x = dataOut.getTimeRange1()
             #         y = dataOut.heightList
                     y = dataOut.heightList
                     z = dataOut.data_output.copy()
                     nplots = z.shape[0]    #Number of wind dimensions estimated
                     nplotsw = nplots
                     #If there is a SNR function defined
                     if dataOut.data_SNR != None:
                         nplots += 1
                         SNR = dataOut.data_SNR
                         SNRavg = numpy.average(SNR, axis=0)
                         SNRdB = 10*numpy.log10(SNR)
                         SNRavgdB = 10*numpy.log10(SNRavg)
                         if SNRthresh == None: SNRthresh = -5.0
                         ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
                         for i in range(nplotsw):
                             z[i,ind] = numpy.nan
                     showprofile = False
             #        thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + "Wind"
                     xlabel = ""
                     ylabel = "Range (Km)"
                     if not self.__isConfig:
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
+                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
                         #if numpy.isnan(zmax): zmax = 50
                         if zmin == None: zmin = -zmax
                         if nplotsw == 3:
                             if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
                             if zmin_ver == None: zmin_ver = -zmax_ver
                         if dataOut.data_SNR != None:
                             if SNRmin == None:  SNRmin = numpy.nanmin(SNRavgdB)
                             if SNRmax == None:  SNRmax = numpy.nanmax(SNRavgdB)
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.__isConfig = True
                     self.setWinTitle(title)
                     if ((self.xmax - x[1]) < (x[1]-x[0])):
                         x[1] = self.xmax
                     strWind = ['Zonal', 'Meridional', 'Vertical']
                     strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
                     zmaxVector = [zmax, zmax, zmax_ver]
                     zminVector = [zmin, zmin, zmin_ver]
                     windFactor = [1,1,100]
                     for i in range(nplotsw):
                         title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         axes = self.axesList[i*self.__nsubplots]
                         z1 = z[i,:].reshape((1,-1))*windFactor[i]
                         axes.pcolorbuffer(x, y, z1,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="RdBu_r" )
                     if dataOut.data_SNR != None:
                         i += 1
                         title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         axes = self.axesList[i*self.__nsubplots]
                         SNRavgdB = SNRavgdB.reshape((1,-1))
                         axes.pcolorbuffer(x, y, SNRavgdB,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel='', cbsize="1%", colormap="jet")
                     self.draw()
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         self.__isConfig = False
                         self.figfile = None
             class ParametersPlot(Figure):
                 __isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'prm'
                 def __init__(self):
                     self.timerange = 2*60*60
                     self.__isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 800
                     self.HEIGHT = 150
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 0
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.tmin = None
                     self.tmax = None
                     self.xmin = None
                     self.xmax = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = self.nplots
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             if counter >= self.nplots:
                                 break
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                             counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
                         parameterIndex = None, onlyPositive = False,
                         SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None,
                         zlabel = "", parameterName = "", parameterObject = "data_param",
                         save=False, figpath='', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     data_param = getattr(dataOut, parameterObject)
                     if channelList == None:
                         channelIndexList = numpy.arange(data_param.shape[0])
                     else:
                         channelIndexList = numpy.array(channelList)
                     nchan = len(channelIndexList) #Number of channels being plotted
                     if timerange != None:
                         self.timerange = timerange
                     #tmin = None
                     #tmax = None
                     if parameterIndex == None:
                         parameterIndex = 1
                     x = dataOut.getTimeRange1()
                     y = dataOut.heightList
                     z = data_param[channelIndexList,parameterIndex,:].copy()
                     zRange = dataOut.abscissaList
                     nplots = z.shape[0]    #Number of wind dimensions estimated
             #        thisDatetime = dataOut.datatime
                     if dataOut.data_SNR != None:
                         SNRarray = dataOut.data_SNR[channelIndexList,:]
                         SNRdB = 10*numpy.log10(SNRarray)
             #             SNRavgdB = 10*numpy.log10(SNRavg)
                         ind = numpy.where(SNRdB < 10**(SNRthresh/10))
                         z[ind] = numpy.nan
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = ""
                     ylabel = "Range (Km)"
                     if SNR: nplots = 2*nplots
                     if onlyPositive:
                         colormap = "jet"
                         zmin = 0
                     else: colormap = "RdBu_r"
                     if not self.__isConfig:
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
+                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(zRange)
                         if zmax == None: zmax = numpy.nanmax(zRange)
                         if SNR != None:
                             if SNRmin == None:  SNRmin = numpy.nanmin(SNRdB)
                             if SNRmax == None:  SNRmax = numpy.nanmax(SNRdB)
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.__isConfig = True
                         self.figfile = figfile
                     self.setWinTitle(title)
                     if ((self.xmax - x[1]) < (x[1]-x[0])):
                         x[1] = self.xmax
                     for i in range(nchan):
                         if SNR: j = 2*i
                         else: j = i
                         title = "%s Channel %d: %s" %(parameterName, channelIndexList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
                             title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
                         axes = self.axesList[j*self.__nsubplots]
                         z1 = z[i,:].reshape((1,-1))
                         axes.pcolorbuffer(x, y, z1,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
                                     ticksize=9, cblabel=zlabel, cbsize="1%")
                         if SNR:
                             title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                             axes = self.axesList[(j + 1)*self.__nsubplots]
                             z1 = SNRdB[i,:].reshape((1,-1))
                             axes.pcolorbuffer(x, y, z1,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
                                     ticksize=9, cblabel=zlabel, cbsize="1%")
                     self.draw()
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         self.__isConfig = False
                         self.figfile = None
             class SpectralFittingPlot(Figure):
                 __isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'prm'
                 N = None
                 ippSeconds = None
                 def __init__(self):
                     self.__isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 450
                     self.HEIGHT = 250
                     self.WIDTHPROF = 0
                     self.HEIGHTPROF = 0
                 def getSubplots(self):
                     ncol = int(numpy.sqrt(self.nplots)+0.9)
                     nrow = int(self.nplots*1./ncol + 0.9)
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
                     showprofile = False
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 5
                     colspan = 4
                     if showprofile:
                         ncolspan = 5
                         colspan = 4
                         self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             if counter >= self.nplots:
                                 break
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                             counter += 1
                 def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
                         xmin=None, xmax=None, ymin=None, ymax=None,
                         save=False, figpath='./', figfile=None, show=True):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if cutHeight==None:
                         h=270
                     heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
                     cutHeight = dataOut.heightList[heightindex]
                     factor = dataOut.normFactor
                     x = dataOut.abscissaList[:-1]
                     #y = dataOut.getHeiRange()
                     z = dataOut.data_pre[:,:,heightindex]/factor
                     z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
                     avg = numpy.average(z, axis=1)
                     listChannels = z.shape[0]
                     #Reconstruct Function
                     if fit==True:
                         groupArray = dataOut.groupList
                         listChannels = groupArray.reshape((groupArray.size))
                         listChannels.sort()
                         spcFitLine = numpy.zeros(z.shape)
                         constants = dataOut.constants
                         nGroups = groupArray.shape[0]
                         nChannels = groupArray.shape[1]
                         nProfiles = z.shape[1]
                         for f in range(nGroups):
                             groupChann = groupArray[f,:]
                             p = dataOut.data_param[f,:,heightindex]
             #                 p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
                             fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
                             fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
                             spcFitLine[groupChann,:] = fitLineAux
             #             spcFitLine = spcFitLine/factor
                         z = z[listChannels,:]
                         spcFitLine = spcFitLine[listChannels,:]
                         spcFitLinedB = 10*numpy.log10(spcFitLine)
                     zdB = 10*numpy.log10(z)
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                     xlabel = "Velocity (m/s)"
                     ylabel = "Spectrum"
                     if not self.__isConfig:
                         nplots = listChannels.size
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(zdB)
                         if ymax == None: ymax = numpy.nanmax(zdB)+2
                         self.__isConfig = True
                     self.setWinTitle(title)
                     for i in range(self.nplots):
             #             title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
                         title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]+1)
                         axes = self.axesList[i*self.__nsubplots]
                         if fit == False:
                             axes.pline(x, zdB[i,:],
                                         xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
                                         xlabel=xlabel, ylabel=ylabel, title=title
                                         )
                         if fit == True:
                             fitline=spcFitLinedB[i,:]
                             y=numpy.vstack([zdB[i,:],fitline] )
                             legendlabels=['Data','Fitting']
                             axes.pmultilineyaxis(x, y,
                                         xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
                                         xlabel=xlabel, ylabel=ylabel, title=title,
                                         legendlabels=legendlabels, marker=None,
                                         linestyle='solid', grid='both')
                     self.draw()
                     if save:
                         date = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         if figfile == None:
                             figfile = self.getFilename(name = date)
                         self.saveFigure(figpath, figfile)
             class EWDriftsPlot(Figure):
                 __isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'drift'
                 def __init__(self):
                     self.timerange = 2*60*60
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 800
                     self.HEIGHT = 150
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 0
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.tmin = None
                     self.tmax = None
                     self.xmin = None
                     self.xmax = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = self.nplots
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         if counter >= self.nplots:
                             break
                         self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
                         counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
                         timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
                         save=False, figpath='', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if timerange != None:
                         self.timerange = timerange
                     tmin = None
                     tmax = None
                     x = dataOut.getTimeRange1()
             #         y = dataOut.heightList
                     y = dataOut.heightList
                     z = dataOut.data_output
                     nplots = z.shape[0]    #Number of wind dimensions estimated
                     nplotsw = nplots
                     #If there is a SNR function defined
                     if dataOut.data_SNR != None:
                         nplots += 1
                         SNR = dataOut.data_SNR
                         if SNR_1:
                             SNR += 1
                         SNRavg = numpy.average(SNR, axis=0)
                         SNRdB = 10*numpy.log10(SNR)
                         SNRavgdB = 10*numpy.log10(SNRavg)
                         ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
                         for i in range(nplotsw):
                             z[i,ind] = numpy.nan
                     showprofile = False
             #        thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
                     title = wintitle + " EW Drifts"
                     xlabel = ""
                     ylabel = "Height (Km)"
                     if not self.__isConfig:
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
+                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
                         if zminZonal == None: zminZonal = -zmaxZonal
                         if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
                         if zminVertical == None: zminVertical = -zmaxVertical
                         if dataOut.data_SNR != None:
                             if SNRmin == None:  SNRmin = numpy.nanmin(SNRavgdB)
                             if SNRmax == None:  SNRmax = numpy.nanmax(SNRavgdB)
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.__isConfig = True
                     self.setWinTitle(title)
                     if ((self.xmax - x[1]) < (x[1]-x[0])):
                         x[1] = self.xmax
                     strWind = ['Zonal','Vertical']
                     strCb = 'Velocity (m/s)'
                     zmaxVector = [zmaxZonal, zmaxVertical]
                     zminVector = [zminZonal, zminVertical]
                     for i in range(nplotsw):
                         title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         axes = self.axesList[i*self.__nsubplots]
                         z1 = z[i,:].reshape((1,-1))
                         axes.pcolorbuffer(x, y, z1,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
                     if dataOut.data_SNR != None:
                         i += 1
                         if SNR_1:
                             title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         else:
                             title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         axes = self.axesList[i*self.__nsubplots]
                         SNRavgdB = SNRavgdB.reshape((1,-1))
                         axes.pcolorbuffer(x, y, SNRavgdB,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel='', cbsize="1%", colormap="jet")
                     self.draw()
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         self.__isConfig = False
                         self.figfile = None

schainpy/model/graphics/jroplot_spectra.py +6 -6

             '''
             @author: Daniel Suarez
             '''
             import os
             import datetime
             import numpy
             from figure import Figure, isRealtime
             class SpectraPlot(Figure):
                 isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'spc'
                 def __init__(self):
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 280
                     self.HEIGHT = 250
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 1
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                 def getSubplots(self):
                     ncol = int(numpy.sqrt(self.nplots)+0.9)
                     nrow = int(self.nplots*1./ncol + 0.9)
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     if showprofile:
                         ncolspan = 3
                         colspan = 2
                         self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             if counter >= self.nplots:
                                 break
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                             counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         save=False, figpath='', figfile=None, show=True, ftp=False, wr_period=1,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if dataOut.flagNoData:
                         return None
                     if realtime:
                         if not(isRealtime(utcdatatime = dataOut.utctime)):
                             print 'Skipping this plot function'
                             return
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     factor = dataOut.normFactor
                     x = dataOut.getVelRange(1)
                     y = dataOut.getHeiRange()
                     z = dataOut.data_spc[channelIndexList,:,:]/factor
                     z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
                     avg = numpy.average(z, axis=1)
                     #avg = numpy.nanmean(z, axis=1)
                     noise = dataOut.noise/factor
                     zdB = 10*numpy.log10(z)
                     avgdB = 10*numpy.log10(avg)
                     noisedB = 10*numpy.log10(noise)
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Spectra"
                     if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
                         title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
                     xlabel = "Velocity (m/s)"
                     ylabel = "Range (Km)"
                     if not self.isConfig:
                         nplots = len(channelIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
                         if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.isConfig = True
                     self.setWinTitle(title)
                     for i in range(self.nplots):
                         str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
                         title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
                         if len(dataOut.beam.codeList) != 0:
                             title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[i]+1, noisedB[i], dataOut.beam.azimuthList[i], dataOut.beam.zenithList[i], str_datetime)
                         axes = self.axesList[i*self.__nsubplots]
                         axes.pcolor(x, y, zdB[i,:,:],
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title,
                                     ticksize=9, cblabel='')
                         if self.__showprofile:
                             axes = self.axesList[i*self.__nsubplots +1]
                             axes.pline(avgdB[i], y,
                                     xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
                                     xlabel='dB', ylabel='', title='',
                                     ytick_visible=False,
                                     grid='x')
                             noiseline = numpy.repeat(noisedB[i], len(y))
                             axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
                     self.draw()
                     if figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         figfile = self.getFilename(name = str_datetime)
                         name = str_datetime
                         if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
                             name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
                         figfile = self.getFilename(name)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class CrossSpectraPlot(Figure):
                 isConfig = None
                 __nsubplots = None
                 WIDTH = None
                 HEIGHT = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'cspc'
                 def __init__(self):
                     self.isConfig = False
                     self.__nsubplots = 4
                     self.counter_imagwr = 0
                     self.WIDTH = 250
                     self.HEIGHT = 250
                     self.WIDTHPROF = 0
                     self.HEIGHTPROF = 0
                     self.PLOT_CODE = 1
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                 def getSubplots(self):
                     ncol = 4
                     nrow = self.nplots
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=True)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             counter += 1
                 def run(self, dataOut, id, wintitle="", pairsList=None,
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         save=False, figpath='', figfile=None, ftp=False, wr_period=1,
                         power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if pairsList == None:
                         pairsIndexList = dataOut.pairsIndexList
                     else:
                         pairsIndexList = []
                         for pair in pairsList:
                             if pair not in dataOut.pairsList:
                                 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
                             pairsIndexList.append(dataOut.pairsList.index(pair))
                     if pairsIndexList == []:
                         return
                     if len(pairsIndexList) > 4:
                         pairsIndexList = pairsIndexList[0:4]
                     factor = dataOut.normFactor
                     x = dataOut.getVelRange(1)
                     y = dataOut.getHeiRange()
                     z = dataOut.data_spc[:,:,:]/factor
             #        z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
                     avg = numpy.abs(numpy.average(z, axis=1))
                     noise = dataOut.noise/factor
                     zdB = 10*numpy.log10(z)
                     avgdB = 10*numpy.log10(avg)
                     noisedB = 10*numpy.log10(noise)
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                     xlabel = "Velocity (m/s)"
                     ylabel = "Range (Km)"
                     if not self.isConfig:
                         nplots = len(pairsIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=False,
                                    show=show)
                         if xmin == None: xmin = numpy.nanmin(x)
                         if xmax == None: xmax = numpy.nanmax(x)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
                         if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.isConfig = True
                     self.setWinTitle(title)
                     for i in range(self.nplots):
                         pair = dataOut.pairsList[pairsIndexList[i]]
                         str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
                         title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[pair[0]], str_datetime)
                         zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]/factor)
                         axes0 = self.axesList[i*self.__nsubplots]
                         axes0.pcolor(x, y, zdB,
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title,
                                     ticksize=9, colormap=power_cmap, cblabel='')
                         title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[pair[1]], str_datetime)
                         zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]/factor)
                         axes0 = self.axesList[i*self.__nsubplots+1]
                         axes0.pcolor(x, y, zdB,
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title,
                                     ticksize=9, colormap=power_cmap, cblabel='')
                         coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
                         coherence = numpy.abs(coherenceComplex)
             #            phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
                         phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi
                         title = "Coherence %d%d" %(pair[0], pair[1])
                         axes0 = self.axesList[i*self.__nsubplots+2]
                         axes0.pcolor(x, y, coherence,
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1,
                                     xlabel=xlabel, ylabel=ylabel, title=title,
                                     ticksize=9, colormap=coherence_cmap, cblabel='')
                         title = "Phase %d%d" %(pair[0], pair[1])
                         axes0 = self.axesList[i*self.__nsubplots+3]
                         axes0.pcolor(x, y, phase,
                                     xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
                                     xlabel=xlabel, ylabel=ylabel, title=title,
                                     ticksize=9, colormap=phase_cmap, cblabel='')
                     self.draw()
                     if figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class RTIPlot(Figure):
                 __isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'rti'
                 def __init__(self):
                     self.timerange = 2*60*60
                     self.__isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 800
                     self.HEIGHT = 150
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 0
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.tmin = None
                     self.tmax = None
                     self.xmin = None
                     self.xmax = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = self.nplots
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     if showprofile:
                         ncolspan = 7
                         colspan = 6
                         self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             if counter >= self.nplots:
                                 break
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                             counter += 1
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         timerange=None,
                         save=False, figpath='', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     """
                     Input:
                         dataOut         :
                         id        :
                         wintitle        :
                         channelList     :
                         showProfile     :
                         xmin            :    None,
                         xmax            :    None,
                         ymin            :    None,
                         ymax            :    None,
                         zmin            :    None,
                         zmax            :    None
                     """
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     if timerange != None:
                         self.timerange = timerange
                     #tmin = None
                     #tmax = None
                     factor = dataOut.normFactor
                     x = dataOut.getTimeRange()
                     y = dataOut.getHeiRange()
                     z = dataOut.data_spc[channelIndexList,:,:]/factor
                     z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
                     avg = numpy.average(z, axis=1)
                     avgdB = 10.*numpy.log10(avg)
             #        thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = ""
                     ylabel = "Range (Km)"
                     if not self.__isConfig:
                         nplots = len(channelIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
+                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange, timezone = dataOut.timezone)
             #             if timerange != None:
             #                 self.timerange = timerange
-            #                 self.xmin, self.tmax = self.getTimeLim(x, xmin, xmax, timerange)
+            #                 self.xmin, self.tmax = self.getTimeLim(x, xmin, xmax, timerange, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
                         if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.__isConfig = True
                         self.figfile = figfile
                     self.setWinTitle(title)
                     if ((self.xmax - x[1]) < (x[1]-x[0])):
                         x[1] = self.xmax
                     for i in range(self.nplots):
                         title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                         if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
                             title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
                         axes = self.axesList[i*self.__nsubplots]
                         zdB = avgdB[i].reshape((1,-1))
                         axes.pcolorbuffer(x, y, zdB,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel='', cbsize="1%")
                         if self.__showprofile:
                             axes = self.axesList[i*self.__nsubplots +1]
                             axes.pline(avgdB[i], y,
                                     xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
                                     xlabel='dB', ylabel='', title='',
                                     ytick_visible=False,
                                     grid='x')
                     self.draw()
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         self.__isConfig = False
                         self.figfile = None
             class CoherenceMap(Figure):
                 isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'cmap'
                 def __init__(self):
                     self.timerange = 2*60*60
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 800
                     self.HEIGHT = 150
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.counter_imagwr = 0
                     self.PLOT_CODE = 3
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.counter_imagwr = 0
                     self.xmin = None
                     self.xmax = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = self.nplots*2
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     if showprofile:
                         ncolspan = 7
                         colspan = 6
                         self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH + self.WIDTHPROF,
                                       heightplot = self.HEIGHT + self.HEIGHTPROF,
                                       show=True)
                     nrow, ncol = self.getSubplots()
                     for y in range(nrow):
                         for x in range(ncol):
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                             if showprofile:
                                 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
                 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
                         xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
                         timerange=None,
                         save=False, figpath='', figfile=None, ftp=False, wr_period=1,
                         coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     if pairsList == None:
                         pairsIndexList = dataOut.pairsIndexList
                     else:
                         pairsIndexList = []
                         for pair in pairsList:
                             if pair not in dataOut.pairsList:
                                 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
                             pairsIndexList.append(dataOut.pairsList.index(pair))
                     if timerange != None:
                         self.timerange = timerange
                     if pairsIndexList == []:
                         return
                     if len(pairsIndexList) > 4:
                         pairsIndexList = pairsIndexList[0:4]
             #         tmin = None
             #         tmax = None
                     x = dataOut.getTimeRange()
                     y = dataOut.getHeiRange()
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = ""
                     ylabel = "Range (Km)"
                     if not self.isConfig:
                         nplots = len(pairsIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        #tmin, tmax = self.getTimeLim(x, xmin, xmax)
+                        #tmin, tmax = self.getTimeLim(x, xmin, xmax, timezone = dataOut.timezone)
-                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
+                        self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if zmin == None: zmin = 0.
                         if zmax == None: zmax = 1.
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.isConfig = True
                     self.setWinTitle(title)
                     if ((self.xmax - x[1]) < (x[1]-x[0])):
                         x[1] = self.xmax
                     for i in range(self.nplots):
                         pair = dataOut.pairsList[pairsIndexList[i]]
                         ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0)
                         powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0)
                         powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0)
                         avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
                         coherence = numpy.abs(avgcoherenceComplex)
                         z = coherence.reshape((1,-1))
                         counter = 0
                         title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                         axes = self.axesList[i*self.__nsubplots*2]
                         axes.pcolorbuffer(x, y, z,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%")
                         if self.__showprofile:
                             counter += 1
                             axes = self.axesList[i*self.__nsubplots*2 + counter]
                             axes.pline(coherence, y,
                                     xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
                                     xlabel='', ylabel='', title='', ticksize=7,
                                     ytick_visible=False, nxticks=5,
                                     grid='x')
                         counter += 1
                         phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
                         z = phase.reshape((1,-1))
                         title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                         axes = self.axesList[i*self.__nsubplots*2 + counter]
                         axes.pcolorbuffer(x, y, z,
                                     xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
                                     xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
                                     ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%")
                         if self.__showprofile:
                             counter += 1
                             axes = self.axesList[i*self.__nsubplots*2 + counter]
                             axes.pline(phase, y,
                                     xmin=-180, xmax=180, ymin=ymin, ymax=ymax,
                                     xlabel='', ylabel='', title='', ticksize=7,
                                     ytick_visible=False, nxticks=4,
                                     grid='x')
                     self.draw()
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         self.__isConfig = False
                     if figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class PowerProfile(Figure):
                 isConfig = None
                 __nsubplots = None
                 WIDTHPROF = None
                 HEIGHTPROF = None
                 PREFIX = 'spcprofile'
                 def __init__(self):
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.WIDTH = 300
                     self.HEIGHT = 500
                     self.counter_imagwr = 0
                 def getSubplots(self):
                     ncol = 1
                     nrow = 1
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, show):
                     self.nplots = nplots
                     ncolspan = 1
                     colspan = 1
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH,
                                       heightplot = self.HEIGHT,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     counter = 0
                     for y in range(nrow):
                         for x in range(ncol):
                             self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
                 def run(self, dataOut, id, wintitle="", channelList=None,
                         xmin=None, xmax=None, ymin=None, ymax=None,
                         save=False, figpath='', figfile=None, show=True, wr_period=1,
                         server=None, folder=None, username=None, password=None,):
                     if dataOut.flagNoData:
                         return None
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                         channelList = dataOut.channelList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     try:
                         factor = dataOut.normFactor
                     except:
                         factor = 1
                     y = dataOut.getHeiRange()
                     #for voltage
                     if dataOut.type == 'Voltage':
                         x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
                         x = x.real
                         x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
                     #for spectra
                     if dataOut.type == 'Spectra':
                         x = dataOut.data_spc[channelIndexList,:,:]/factor
                         x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
                         x = numpy.average(x, axis=1)
                     xdB = 10*numpy.log10(x)
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = "dB"
                     ylabel = "Range (Km)"
                     if not self.isConfig:
                         nplots = 1
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    show=show)
                         if ymin == None: ymin = numpy.nanmin(y)
                         if ymax == None: ymax = numpy.nanmax(y)
                         if xmin == None: xmin = numpy.nanmin(xdB)*0.9
                         if xmax == None: xmax = numpy.nanmax(xdB)*0.9
                         self.__isConfig = True
                     self.setWinTitle(title)
                     title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
                     axes = self.axesList[0]
                     legendlabels = ["channel %d"%x for x in channelList]
                     axes.pmultiline(xdB, y,
                             xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
                             xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels,
                             ytick_visible=True, nxticks=5,
                             grid='x')
                     self.draw()
                     if figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, figfile)
                             # store png plot to FTP server according to RT-Web format
                             #name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             #ftp_filename = os.path.join(figpath, name)
                             #self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class Noise(Figure):
                 isConfig = None
                 __nsubplots = None
                 PREFIX = 'noise'
                 def __init__(self):
                     self.timerange = 24*60*60
                     self.isConfig = False
                     self.__nsubplots = 1
                     self.counter_imagwr = 0
                     self.WIDTH = 600
                     self.HEIGHT = 300
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.xdata = None
                     self.ydata = None
                     self.PLOT_CODE = 17
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = 1
                     return nrow, ncol
                 def openfile(self, filename):
                     f = open(filename,'w+')
                     f.write('\n\n')
                     f.write('JICAMARCA RADIO OBSERVATORY - Noise \n')
                     f.write('DD MM YYYY  HH MM SS   Channel0    Channel1    Channel2    Channel3\n\n' )
                     f.close()
                 def save_data(self, filename_phase, data, data_datetime):
                     f=open(filename_phase,'a')
                     timetuple_data = data_datetime.timetuple()
                     day = str(timetuple_data.tm_mday)
                     month = str(timetuple_data.tm_mon)
                     year = str(timetuple_data.tm_year)
                     hour = str(timetuple_data.tm_hour)
                     minute = str(timetuple_data.tm_min)
                     second = str(timetuple_data.tm_sec)
                     f.write(day+' '+month+' '+year+'  '+hour+' '+minute+' '+second+'   '+str(data[0])+'   '+str(data[1])+'   '+str(data[2])+'   '+str(data[3])+'\n')
                     f.close()
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 7
                     colspan = 6
                     self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH+self.WIDTHPROF,
                                       heightplot = self.HEIGHT+self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
                 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
                         xmin=None, xmax=None, ymin=None, ymax=None,
                         timerange=None,
                         save=False, figpath='', figfile=None, show=True, ftp=False, wr_period=1,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     if channelList == None:
                         channelIndexList = dataOut.channelIndexList
                         channelList = dataOut.channelList
                     else:
                         channelIndexList = []
                         for channel in channelList:
                             if channel not in dataOut.channelList:
                                 raise ValueError, "Channel %d is not in dataOut.channelList"
                             channelIndexList.append(dataOut.channelList.index(channel))
                     if timerange != None:
                         self.timerange = timerange
                     tmin = None
                     tmax = None
                     x = dataOut.getTimeRange()
                     y = dataOut.getHeiRange()
                     factor = dataOut.normFactor
                     noise = dataOut.noise/factor
                     noisedB = 10*numpy.log10(noise)
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = ""
                     ylabel = "Intensity (dB)"
                     if not self.isConfig:
                         nplots = 1
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        tmin, tmax = self.getTimeLim(x, xmin, xmax)
+                        tmin, tmax = self.getTimeLim(x, xmin, xmax, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(noisedB) - 10.0
                         if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.isConfig = True
                         self.figfile = figfile
                         self.xdata = numpy.array([])
                         self.ydata = numpy.array([])
                         #open file beacon phase
                         path = '%s%03d' %(self.PREFIX, self.id)
                         noise_file = os.path.join(path,'%s.txt'%self.name)
                         self.filename_noise = os.path.join(figpath,noise_file)
                         self.openfile(self.filename_noise)
                     #store data beacon phase
                     self.save_data(self.filename_noise, noisedB, thisDatetime)
                     self.setWinTitle(title)
                     title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                     legendlabels = ["channel %d"%(idchannel+1) for idchannel in channelList]
                     axes = self.axesList[0]
                     self.xdata = numpy.hstack((self.xdata, x[0:1]))
                     if len(self.ydata)==0:
                         self.ydata = noisedB[channelIndexList].reshape(-1,1)
                     else:
                         self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1)))
                     axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
                                 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
                                 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
                                 XAxisAsTime=True, grid='both'
                                 )
                     self.draw()
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         del self.xdata
                         del self.ydata
                         self.__isConfig = False
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0
             class BeaconPhase(Figure):
                 __isConfig = None
                 __nsubplots = None
                 PREFIX = 'beacon_phase'
                 def __init__(self):
                     self.timerange = 24*60*60
                     self.__isConfig = False
                     self.__nsubplots = 1
                     self.counter_imagwr = 0
                     self.WIDTH = 600
                     self.HEIGHT = 300
                     self.WIDTHPROF = 120
                     self.HEIGHTPROF = 0
                     self.xdata = None
                     self.ydata = None
                     self.PLOT_CODE = 18
                     self.FTP_WEI = None
                     self.EXP_CODE = None
                     self.SUB_EXP_CODE = None
                     self.PLOT_POS = None
                     self.filename_phase = None
                     self.figfile = None
                 def getSubplots(self):
                     ncol = 1
                     nrow = 1
                     return nrow, ncol
                 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
                     self.__showprofile = showprofile
                     self.nplots = nplots
                     ncolspan = 7
                     colspan = 6
                     self.__nsubplots = 2
                     self.createFigure(id = id,
                                       wintitle = wintitle,
                                       widthplot = self.WIDTH+self.WIDTHPROF,
                                       heightplot = self.HEIGHT+self.HEIGHTPROF,
                                       show=show)
                     nrow, ncol = self.getSubplots()
                     self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
                 def save_phase(self, filename_phase):
                     f = open(filename_phase,'w+')
                     f.write('\n\n')
                     f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n')
                     f.write('DD MM YYYY  HH MM SS   pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' )
                     f.close()
                 def save_data(self, filename_phase, data, data_datetime):
                     f=open(filename_phase,'a')
                     timetuple_data = data_datetime.timetuple()
                     day = str(timetuple_data.tm_mday)
                     month = str(timetuple_data.tm_mon)
                     year = str(timetuple_data.tm_year)
                     hour = str(timetuple_data.tm_hour)
                     minute = str(timetuple_data.tm_min)
                     second = str(timetuple_data.tm_sec)
                     f.write(day+' '+month+' '+year+'  '+hour+' '+minute+' '+second+'   '+str(data[0])+'   '+str(data[1])+'   '+str(data[2])+'   '+str(data[3])+'\n')
                     f.close()
                 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
                         xmin=None, xmax=None, ymin=None, ymax=None,
                         timerange=None,
                         save=False, figpath='', figfile=None, show=True, ftp=False, wr_period=1,
                         server=None, folder=None, username=None, password=None,
                         ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
                     if pairsList == None:
                         pairsIndexList = dataOut.pairsIndexList
                     else:
                         pairsIndexList = []
                         for pair in pairsList:
                             if pair not in dataOut.pairsList:
                                 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
                             pairsIndexList.append(dataOut.pairsList.index(pair))
                     if pairsIndexList == []:
                         return
             #         if len(pairsIndexList) > 4:
             #             pairsIndexList = pairsIndexList[0:4]
                     if timerange != None:
                         self.timerange = timerange
                     tmin = None
                     tmax = None
                     x = dataOut.getTimeRange()
                     y = dataOut.getHeiRange()
                     #thisDatetime = dataOut.datatime
                     thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
                     title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
                     xlabel = "Local Time"
                     ylabel = "Phase"
                     nplots = len(pairsIndexList)
                     #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
                     phase_beacon = numpy.zeros(len(pairsIndexList))
                     for i in range(nplots):
                         pair = dataOut.pairsList[pairsIndexList[i]]
                         ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0)
                         powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0)
                         powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0)
                         avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
                         phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
                         #print "Phase %d%d" %(pair[0], pair[1])
                         #print phase[dataOut.beacon_heiIndexList]
                         phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList])
                     if not self.__isConfig:
                         nplots = len(pairsIndexList)
                         self.setup(id=id,
                                    nplots=nplots,
                                    wintitle=wintitle,
                                    showprofile=showprofile,
                                    show=show)
-                        tmin, tmax = self.getTimeLim(x, xmin, xmax)
+                        tmin, tmax = self.getTimeLim(x, xmin, xmax, timezone = dataOut.timezone)
                         if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
                         if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
                         self.FTP_WEI = ftp_wei
                         self.EXP_CODE = exp_code
                         self.SUB_EXP_CODE = sub_exp_code
                         self.PLOT_POS = plot_pos
                         self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.__isConfig = True
                         self.figfile = figfile
                         self.xdata = numpy.array([])
                         self.ydata = numpy.array([])
                         #open file beacon phase
                         path = '%s%03d' %(self.PREFIX, self.id)
                         beacon_file = os.path.join(path,'%s.txt'%self.name)
                         self.filename_phase = os.path.join(figpath,beacon_file)
                         #self.save_phase(self.filename_phase)
                     #store data beacon phase
                     #self.save_data(self.filename_phase, phase_beacon, thisDatetime)
                     self.setWinTitle(title)
                     title = "Beacon Signal %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
                     legendlabels = ["pairs %d%d"%(pair[0], pair[1]) for pair in dataOut.pairsList]
                     axes = self.axesList[0]
                     self.xdata = numpy.hstack((self.xdata, x[0:1]))
                     if len(self.ydata)==0:
                         self.ydata = phase_beacon.reshape(-1,1)
                     else:
                         self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
                     axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
                                 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
                                 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
                                 XAxisAsTime=True, grid='both'
                                 )
                     self.draw()
                     if x[1] >= self.axesList[0].xmax:
                         self.counter_imagwr = wr_period
                         del self.xdata
                         del self.ydata
                         self.__isConfig = False
                     if self.figfile == None:
                         str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
                         self.figfile = self.getFilename(name = str_datetime)
                     if figpath != '':
                         self.counter_imagwr += 1
                         if (self.counter_imagwr>=wr_period):
                             # store png plot to local folder
                             self.saveFigure(figpath, self.figfile)
                             # store png plot to FTP server according to RT-Web format
                             name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
                             ftp_filename = os.path.join(figpath, name)
                             self.saveFigure(figpath, ftp_filename)
                             self.counter_imagwr = 0

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