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VERSION1-GUI -CARPETAS : VIEWER,VIEWCONTROLLER -Test: testSignalChainGUI.py

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jroplot.py
363 lines | 11.2 KiB | text/x-python | PythonLexer
import numpy
import datetime
from graphics.figure import *
class RTIPlot(Figure):
__isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
def __init__(self):
self.__timerange = 30*60
self.__isConfig = False
self.__nsubplots = 1
self.WIDTH = 800
self.HEIGHT = 400
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.WIDTH += self.WIDTHPROF
self.HEIGHT += self.HEIGHTPROF
self.createFigure(idfigure, wintitle)
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):
"""
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.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)
if xmin == None: xmin = numpy.min(x)
if xmax == None: xmax = xmin + self.__timerange
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]
z = avg[i].reshape((1,-1))
axes.pcolor(x, y, z,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
xlabel=xlabel, ylabel=ylabel, title=title, rti=True,
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()
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.WIDTH += self.WIDTHPROF
self.HEIGHT += self.HEIGHTPROF
self.createFigure(idfigure, wintitle)
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):
"""
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()
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):
"""
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()