|
|
import numpy
|
|
|
import time, datetime
|
|
|
from graphics.figure import *
|
|
|
|
|
|
class RTIPlot(Figure):
|
|
|
|
|
|
__isConfig = None
|
|
|
__nsubplots = None
|
|
|
|
|
|
WIDTHPROF = None
|
|
|
HEIGHTPROF = None
|
|
|
|
|
|
def __init__(self):
|
|
|
|
|
|
self.__timerange = 24*60*60
|
|
|
self.__isConfig = False
|
|
|
self.__nsubplots = 1
|
|
|
|
|
|
self.WIDTH = 800
|
|
|
self.HEIGHT = 300
|
|
|
self.WIDTHPROF = 120
|
|
|
self.HEIGHTPROF = 0
|
|
|
|
|
|
def getSubplots(self):
|
|
|
|
|
|
ncol = 1
|
|
|
nrow = self.nplots
|
|
|
|
|
|
return nrow, ncol
|
|
|
|
|
|
def setup(self, idfigure, nplots, wintitle, showprofile=True):
|
|
|
|
|
|
self.__showprofile = showprofile
|
|
|
self.nplots = nplots
|
|
|
|
|
|
ncolspan = 1
|
|
|
colspan = 1
|
|
|
if showprofile:
|
|
|
ncolspan = 7
|
|
|
colspan = 6
|
|
|
self.__nsubplots = 2
|
|
|
|
|
|
self.createFigure(idfigure = idfigure,
|
|
|
wintitle = wintitle,
|
|
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
heightplot = self.HEIGHT + self.HEIGHTPROF)
|
|
|
|
|
|
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 __getTimeLim(self, x, xmin, xmax):
|
|
|
|
|
|
thisdatetime = datetime.datetime.fromtimestamp(numpy.min(x))
|
|
|
thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0))
|
|
|
|
|
|
####################################################
|
|
|
#If the x is out of xrange
|
|
|
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(0,0,0,0,0, xmin)
|
|
|
tmin = time.mktime(mindt.timetuple())
|
|
|
|
|
|
maxdt = thisdate + datetime.timedelta(0,0,0,0,0, xmax)
|
|
|
tmax = time.mktime(maxdt.timetuple())
|
|
|
|
|
|
self.__timerange = tmax - tmin
|
|
|
|
|
|
return tmin, tmax
|
|
|
|
|
|
def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True',
|
|
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
|
|
|
timerange=None,
|
|
|
save=False, filename=None):
|
|
|
|
|
|
"""
|
|
|
|
|
|
Input:
|
|
|
dataOut :
|
|
|
idfigure :
|
|
|
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(channel)
|
|
|
|
|
|
if timerange != None:
|
|
|
self.__timerange = timerange
|
|
|
|
|
|
tmin = None
|
|
|
tmax = None
|
|
|
x = dataOut.getDatatime()
|
|
|
y = dataOut.getHeiRange()
|
|
|
z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:])
|
|
|
avg = numpy.average(z, axis=1)
|
|
|
|
|
|
noise = dataOut.getNoise()
|
|
|
|
|
|
if not self.__isConfig:
|
|
|
|
|
|
nplots = len(channelIndexList)
|
|
|
|
|
|
self.setup(idfigure=idfigure,
|
|
|
nplots=nplots,
|
|
|
wintitle=wintitle,
|
|
|
showprofile=showprofile)
|
|
|
|
|
|
tmin, tmax = self.__getTimeLim(x, xmin, xmax)
|
|
|
if ymin == None: ymin = numpy.nanmin(y)
|
|
|
if ymax == None: ymax = numpy.nanmax(y)
|
|
|
if zmin == None: zmin = numpy.nanmin(avg)*0.9
|
|
|
if zmax == None: zmax = numpy.nanmax(avg)*0.9
|
|
|
|
|
|
self.__isConfig = True
|
|
|
|
|
|
thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime)
|
|
|
title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y"))
|
|
|
xlabel = "Velocity (m/s)"
|
|
|
ylabel = "Range (Km)"
|
|
|
|
|
|
self.setWinTitle(title)
|
|
|
|
|
|
for i in range(self.nplots):
|
|
|
title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
|
|
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
z = avg[i].reshape((1,-1))
|
|
|
axes.pcolor(x, y, z,
|
|
|
xmin=tmin, xmax=tmax, 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(avg[i], y,
|
|
|
xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
|
|
|
xlabel='dB', ylabel='', title='',
|
|
|
ytick_visible=False,
|
|
|
grid='x')
|
|
|
|
|
|
self.draw()
|
|
|
|
|
|
if save:
|
|
|
self.saveFigure(filename)
|
|
|
|
|
|
if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
|
|
|
self.__isConfig = False
|
|
|
|
|
|
class SpectraPlot(Figure):
|
|
|
|
|
|
__isConfig = None
|
|
|
__nsubplots = None
|
|
|
|
|
|
WIDTHPROF = None
|
|
|
HEIGHTPROF = None
|
|
|
|
|
|
def __init__(self):
|
|
|
|
|
|
self.__isConfig = False
|
|
|
self.__nsubplots = 1
|
|
|
|
|
|
self.WIDTH = 300
|
|
|
self.HEIGHT = 400
|
|
|
self.WIDTHPROF = 120
|
|
|
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, idfigure, nplots, wintitle, showprofile=True):
|
|
|
|
|
|
self.__showprofile = showprofile
|
|
|
self.nplots = nplots
|
|
|
|
|
|
ncolspan = 1
|
|
|
colspan = 1
|
|
|
if showprofile:
|
|
|
ncolspan = 3
|
|
|
colspan = 2
|
|
|
self.__nsubplots = 2
|
|
|
|
|
|
self.createFigure(idfigure = idfigure,
|
|
|
wintitle = wintitle,
|
|
|
widthplot = self.WIDTH + self.WIDTHPROF,
|
|
|
heightplot = self.HEIGHT + self.HEIGHTPROF)
|
|
|
|
|
|
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, idfigure, wintitle="", channelList=None, showprofile='True',
|
|
|
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, save=False, filename=None):
|
|
|
|
|
|
"""
|
|
|
|
|
|
Input:
|
|
|
dataOut :
|
|
|
idfigure :
|
|
|
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(channel)
|
|
|
|
|
|
x = dataOut.getVelRange(1)
|
|
|
y = dataOut.getHeiRange()
|
|
|
z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:])
|
|
|
avg = numpy.average(z, axis=1)
|
|
|
|
|
|
noise = dataOut.getNoise()
|
|
|
|
|
|
if not self.__isConfig:
|
|
|
|
|
|
nplots = len(channelIndexList)
|
|
|
|
|
|
self.setup(idfigure=idfigure,
|
|
|
nplots=nplots,
|
|
|
wintitle=wintitle,
|
|
|
showprofile=showprofile)
|
|
|
|
|
|
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(avg)*0.9
|
|
|
if zmax == None: zmax = numpy.nanmax(avg)*0.9
|
|
|
|
|
|
self.__isConfig = True
|
|
|
|
|
|
thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime)
|
|
|
title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
|
|
|
xlabel = "Velocity (m/s)"
|
|
|
ylabel = "Range (Km)"
|
|
|
|
|
|
self.setWinTitle(title)
|
|
|
|
|
|
for i in range(self.nplots):
|
|
|
title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i])
|
|
|
axes = self.axesList[i*self.__nsubplots]
|
|
|
axes.pcolor(x, y, z[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(avg[i], y,
|
|
|
xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
|
|
|
xlabel='dB', ylabel='', title='',
|
|
|
ytick_visible=False,
|
|
|
grid='x')
|
|
|
|
|
|
self.draw()
|
|
|
|
|
|
if save:
|
|
|
self.saveFigure(filename)
|
|
|
|
|
|
class Scope(Figure):
|
|
|
|
|
|
__isConfig = None
|
|
|
|
|
|
def __init__(self):
|
|
|
|
|
|
self.__isConfig = False
|
|
|
self.WIDTH = 600
|
|
|
self.HEIGHT = 200
|
|
|
|
|
|
def getSubplots(self):
|
|
|
|
|
|
nrow = self.nplots
|
|
|
ncol = 3
|
|
|
return nrow, ncol
|
|
|
|
|
|
def setup(self, idfigure, nplots, wintitle):
|
|
|
|
|
|
self.createFigure(idfigure, wintitle)
|
|
|
|
|
|
nrow,ncol = self.getSubplots()
|
|
|
colspan = 3
|
|
|
rowspan = 1
|
|
|
|
|
|
for i in range(nplots):
|
|
|
self.addAxes(nrow, ncol, i, 0, colspan, rowspan)
|
|
|
|
|
|
self.nplots = nplots
|
|
|
|
|
|
def run(self, dataOut, idfigure, wintitle="", channelList=None,
|
|
|
xmin=None, xmax=None, ymin=None, ymax=None, save=False, filename=None):
|
|
|
|
|
|
"""
|
|
|
|
|
|
Input:
|
|
|
dataOut :
|
|
|
idfigure :
|
|
|
wintitle :
|
|
|
channelList :
|
|
|
xmin : None,
|
|
|
xmax : None,
|
|
|
ymin : None,
|
|
|
ymax : None,
|
|
|
"""
|
|
|
|
|
|
if channelList == None:
|
|
|
channelList = dataOut.channelList
|
|
|
|
|
|
x = dataOut.heightList
|
|
|
y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:])
|
|
|
y = y.real
|
|
|
|
|
|
noise = dataOut.getNoise()
|
|
|
|
|
|
if not self.__isConfig:
|
|
|
nplots = len(channelList)
|
|
|
|
|
|
self.setup(idfigure=idfigure,
|
|
|
nplots=nplots,
|
|
|
wintitle=wintitle)
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime)
|
|
|
title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
|
|
|
xlabel = "Range (Km)"
|
|
|
ylabel = "Intensity"
|
|
|
|
|
|
self.setWinTitle(title)
|
|
|
|
|
|
for i in range(len(self.axesList)):
|
|
|
title = "Channel %d: %4.2fdB" %(i, noise[i])
|
|
|
axes = self.axesList[i]
|
|
|
ychannel = y[i,:]
|
|
|
axes.pline(x, ychannel,
|
|
|
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
|
|
|
xlabel=xlabel, ylabel=ylabel, title=title)
|
|
|
|
|
|
self.draw()
|
|
|
|
|
|
if save:
|
|
|
self.saveFigure(filename)
|
|
|
|
