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import numpy
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import datetime
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from graphics.figure import *
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class SpectraPlot(Figure):
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__isConfig = None
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def __init__(self):
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self.__isConfig = False
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self.WIDTH = 300
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self.HEIGHT = 400
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def getSubplots(self):
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ncol = int(numpy.sqrt(self.nplots)+0.9)
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nrow = int(self.nplots*1./ncol + 0.9)
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return nrow, ncol
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def setAxesWithOutProfiles(self, nrow, ncol):
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colspan = 1
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rowspan = 1
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counter = 0
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for y in range(nrow):
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for x in range(ncol):
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if counter < self.nplots:
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self.addAxes(nrow, ncol, y, x, colspan, rowspan)
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counter += 1
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def setAxesWithProfiles(self, nrow, ncol):
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colspan = 1
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rowspan = 1
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factor = 2
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ncol = ncol*factor
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counter = 0
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for y in range(nrow):
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for x in range(ncol):
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if counter < self.nplots*factor:
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# plt.subplot2grid((nrow, ncol), (y, x), colspan=colspan, rowspan=rowspan)
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self.addAxes(nrow, ncol, y, x, colspan, rowspan)
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counter += 1
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def setup(self, idfigure, nplots, wintitle, showprofile=True):
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self.init(idfigure, nplots, wintitle)
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nrow, ncol = self.getSubplots()
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if showprofile:
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self.setAxesWithProfiles(nrow, ncol)
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else:
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self.setAxesWithOutProfiles(nrow, ncol)
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def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile=False,
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xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None):
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"""
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Input:
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dataOut :
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idfigure :
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wintitle :
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channelList :
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showProfile :
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xmin : None,
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xmax : None,
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ymin : None,
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ymax : None,
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zmin : None,
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zmax : None
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"""
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if channelList == None:
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channelList = dataOut.channelList
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x = dataOut.getVelRange(1)
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y = dataOut.heightList
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z = 10.*numpy.log10(dataOut.data_spc[channelList,:,:])
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noise = dataOut.getNoise()
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if not self.__isConfig:
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nplots = len(channelList)
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self.setup(idfigure=idfigure,
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nplots=nplots,
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wintitle=wintitle,
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showprofile=showprofile)
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if xmin == None: xmin = numpy.nanmin(x)
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if xmax == None: xmax = numpy.nanmax(x)
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if ymin == None: ymin = numpy.nanmin(y)
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if ymax == None: ymax = numpy.nanmax(y)
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if zmin == None: zmin = numpy.nanmin(z)*0.9
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if zmax == None: zmax = numpy.nanmax(z)*0.9
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self.__isConfig = True
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thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime)
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title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
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xlabel = "Velocity (m/s)"
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ylabel = "Range (Km)"
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self.setWinTitle(title)
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for i in range(self.nplots):
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title = "Channel %d: %4.2fdB" %(channelList[i], noise[i])
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zchannel = z[i,:,:]
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axes = self.axesList[i]
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axes.pcolor(x, y, zchannel,
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xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
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xlabel=xlabel, ylabel=ylabel, title=title,
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ticksize=9, cblabel='dB')
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self.draw()
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class Scope(Figure):
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__isConfig = None
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def __init__(self):
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self.__isConfig = False
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self.WIDTH = 600
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self.HEIGHT = 200
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def getSubplots(self):
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nrow = self.nplots
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ncol = 3
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return nrow, ncol
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def setup(self, idfigure, nplots, wintitle):
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self.init(idfigure, nplots, wintitle)
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nrow,ncol = self.getSubplots()
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colspan = 3
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rowspan = 1
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for i in range(nplots):
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self.addAxes(nrow, ncol, i, 0, colspan, rowspan)
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def run(self, dataOut, idfigure, wintitle="", channelList=None,
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xmin=None, xmax=None, ymin=None, ymax=None):
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"""
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Input:
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dataOut :
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idfigure :
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wintitle :
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channelList :
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xmin : None,
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xmax : None,
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ymin : None,
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ymax : None,
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"""
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if channelList == None:
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channelList = dataOut.channelList
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x = dataOut.heightList
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y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:])
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y = y.real
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noise = dataOut.getNoise()
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if not self.__isConfig:
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nplots = len(channelList)
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self.setup(idfigure=idfigure,
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nplots=nplots,
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wintitle=wintitle)
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if xmin == None: xmin = numpy.nanmin(x)
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if xmax == None: xmax = numpy.nanmax(x)
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if ymin == None: ymin = numpy.nanmin(y)
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if ymax == None: ymax = numpy.nanmax(y)
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self.__isConfig = True
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thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime)
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title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
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xlabel = "Range (Km)"
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ylabel = "Intensity"
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self.setWinTitle(title)
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for i in range(len(self.axesList)):
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title = "Channel %d: %4.2fdB" %(i, noise[i])
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axes = self.axesList[i]
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ychannel = y[i,:]
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axes.pline(x, ychannel,
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xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
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xlabel=xlabel, ylabel=ylabel, title=title)
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self.draw()
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