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Ultimo avance simulador y pruebas de procesaiento Weather Radar
Ultimo avance simulador y pruebas de procesaiento Weather Radar

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r1294:575339b32691 v3.0-devel-wrc
r1294:575339b32691 v3.0-devel-wrc
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jroplot_voltage.py
581 lines | 19.1 KiB | text/x-python | PythonLexer
'''
Created on Jul 9, 2014
@author: roj-idl71
'''
import os
import datetime
import numpy
from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator #YONG
from schainpy.utils import log
from .figure import Figure
@MPDecorator
class Scope_(Figure):
isConfig = None
def __init__(self):#, **kwargs): #YONG
Figure.__init__(self)#, **kwargs)
self.isConfig = False
self.WIDTH = 300
self.HEIGHT = 200
self.counter_imagwr = 0
def getSubplots(self):
nrow = self.nplots
ncol = 3
return nrow, ncol
def setup(self, id, nplots, wintitle, show):
self.nplots = nplots
self.createFigure(id=id,
wintitle=wintitle,
show=show)
nrow,ncol = self.getSubplots()
colspan = 3
rowspan = 1
for i in range(nplots):
self.addAxes(nrow, ncol, i, 0, colspan, rowspan)
def plot_iq(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax):
yreal = y[channelIndexList,:].real
yimag = y[channelIndexList,:].imag
title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
xlabel = "Range (Km)"
ylabel = "Intensity - IQ"
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
wintitle='',
show=show)
if xmin == None: xmin = numpy.nanmin(x)
if xmax == None: xmax = numpy.nanmax(x)
if ymin == None: ymin = min(numpy.nanmin(yreal),numpy.nanmin(yimag))
if ymax == None: ymax = max(numpy.nanmax(yreal),numpy.nanmax(yimag))
self.isConfig = True
self.setWinTitle(title)
for i in range(len(self.axesList)):
title = "Channel %d" %(i)
axes = self.axesList[i]
axes.pline(x, yreal[i,:],
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title)
axes.addpline(x, yimag[i,:], idline=1, color="red", linestyle="solid", lw=2)
def plot_power(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax):
y = y[channelIndexList,:] * numpy.conjugate(y[channelIndexList,:])
yreal = y.real
title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
xlabel = "Range (Km)"
ylabel = "Intensity"
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
wintitle='',
show=show)
if xmin == None: xmin = numpy.nanmin(x)
if xmax == None: xmax = numpy.nanmax(x)
if ymin == None: ymin = numpy.nanmin(yreal)
if ymax == None: ymax = numpy.nanmax(yreal)
self.isConfig = True
self.setWinTitle(title)
for i in range(len(self.axesList)):
title = "Channel %d" %(i)
axes = self.axesList[i]
ychannel = yreal[i,:]
axes.pline(x, ychannel,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title)
def plot_weatherpower(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax):
#x = x[channelIndexList,:]
y = y[channelIndexList,:].real
y = 10*numpy.log10(y)
title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
xlabel = "Range (Km)"
ylabel = "Intensity"
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
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)
#print (xmin,xmax)
self.isConfig = True
self.setWinTitle(title)
for i in range(len(self.axesList)):
title = "Channel %d" %(i)
axes = self.axesList[i]
#print(numpy.nanmax(x))
ychannel = y[i,:]
#ychannel = yreal[i,:]
axes.pline(x, ychannel,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title)
def plot_weathervelocity(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax):
#print(channelIndexList)
x = x[channelIndexList,:]
title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
xlabel = "Velocity (m/s)"
ylabel = "Range (Km)"
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
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)
print (xmin,xmax)
self.isConfig = True
self.setWinTitle(title)
for i in range(len(self.axesList)):
title = "Channel %d" %(i)
axes = self.axesList[i]
#print(numpy.nanmax(x))
xchannel = x[i,:]
#ychannel = yreal[i,:]
axes.pline(xchannel, y,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title)
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,
ftp=False, server=None, folder=None, username=None, password=None, type='power', **kwargs):
"""
Input:
dataOut :
id :
wintitle :
channelList :
xmin : None,
xmax : None,
ymin : None,
ymax : None,
"""
if dataOut.flagNoData:
return dataOut
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))
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
#print("***************** PLOTEO **************************")
#print(dataOut.nProfiles)
#print(dataOut.heightList.shape)
#print(dataOut.data.shape)
if dataOut.flagDataAsBlock:
for i in range(dataOut.nProfiles):
wintitle1 = wintitle + " [Profile = %d] " %i
if type == "power":
self.plot_power(dataOut.heightList,
dataOut.data[:,i,:],
id,
channelIndexList,
thisDatetime,
wintitle1,
show,
xmin,
xmax,
ymin,
ymax)
if type == "weatherpower":
self.plot_weatherpower(dataOut.heightList,
dataOut.data[:,i,:],
id,
channelIndexList,
thisDatetime,
wintitle,
show,
xmin,
xmax,
ymin,
ymax)
if type == "weathervelocity":
self.plot_weathervelocity(dataOut.data_velocity[:,i,:],
dataOut.heightList,
id,
channelIndexList,
thisDatetime,
wintitle1,
show,
xmin,
xmax,
ymin,
ymax)
if type == "iq":
self.plot_iq(dataOut.heightList,
dataOut.data[:,i,:],
id,
channelIndexList,
thisDatetime,
wintitle1,
show,
xmin,
xmax,
ymin,
ymax)
self.draw()
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
figfile = self.getFilename(name = str_datetime) + "_" + str(i)
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime)
else:
wintitle += " [Profile = %d] " %dataOut.profileIndex
if type == "power":
self.plot_power(dataOut.heightList,
dataOut.data,
id,
channelIndexList,
thisDatetime,
wintitle,
show,
xmin,
xmax,
ymin,
ymax)
if type == "iq":
self.plot_iq(dataOut.heightList,
dataOut.data,
id,
channelIndexList,
thisDatetime,
wintitle,
show,
xmin,
xmax,
ymin,
ymax)
if type== "weatherpower":
self.plot_weatherpower(dataOut.heightList,
dataOut.data,
id,
channelIndexList,
thisDatetime,
wintitle,
show,
xmin,
xmax,
ymin,
ymax)
if type== "weathervelocity":
self.plot_weathervelocity(dataOut.data_velocity,
dataOut.heightList,
id,
channelIndexList,
thisDatetime,
wintitle,
show,
xmin,
xmax,
ymin,
ymax)
self.draw()
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") + "_" + str(dataOut.profileIndex)
figfile = self.getFilename(name = str_datetime)
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime)
return dataOut
@MPDecorator
class TimePlot_(Figure):
__isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'time'
def __init__(self):
Figure.__init__(self)
self.timerange = None
self.isConfig = False
self.__nsubplots = 1
self.WIDTH = 800
self.HEIGHT = 250
self.WIDTHPROF = 120
self.HEIGHTPROF = 0
self.counter_imagwr = 0
self.PLOT_CODE = RTIVOLT_CODE
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,type="intensity",
timerange=None, colormap='jet',
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, normFactor=None, HEIGHT=None):
"""
Input:
dataOut :
id :
wintitle :
channelList :
showProfile :
xmin : None,
xmax : None,
ymin : None,
ymax : None,
zmin : None,
zmax : None
"""
print("estoy aqui :D")
if dataOut.flagNoData:
return dataOut
#colormap = kwargs.get('colormap', 'jet')
if HEIGHT is not None:
self.HEIGHT = HEIGHT
if not isTimeInHourRange(dataOut.datatime, xmin, xmax):
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))
if normFactor is None:
factor = dataOut.normFactor
else:
factor = normFactor
#factor = dataOut.normFactor
x = dataOut.getTimeRange()
y = dataOut.getHeiRange()
if type=="intensity":
z = dataOut.data_intensity/factor
z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
avgdB = numpy.average(z, axis=1)
avgdB = 10.*numpy.log10(avg)
else:
z= dataOut.data_velocity
avgdB = numpy.average(z, axis=1)
# avgdB = dataOut.getPower()
thisDatetime = dataOut.datatime
#thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
xlabel = ""
ylabel = "Range (Km)"
update_figfile = False
if self.xmax is not None and dataOut.ltctime >= self.xmax: #yong
self.counter_imagwr = wr_period
self.isConfig = False
update_figfile = True
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
showprofile=showprofile,
show=show)
if timerange != None:
self.timerange = timerange
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
noise = dataOut.noise/factor
noisedB = 10*numpy.log10(noise)
if ymin == None: ymin = numpy.nanmin(y)
if ymax == None: ymax = numpy.nanmax(y)
if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3
if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3
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
update_figfile = True
self.setWinTitle(title)
for i in range(self.nplots):
index = channelIndexList[i]
title = "Channel %d: %s" %(dataOut.channelList[index], 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[index].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%", colormap=colormap)
if self.__showprofile:
axes = self.axesList[i*self.__nsubplots +1]
axes.pline(avgdB[index], y,
xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
xlabel='dB', ylabel='', title='',
ytick_visible=False,
grid='x')
self.draw()
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime,
update_figfile=update_figfile)
return dataOut