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Wind and rainfall processing of CLAIRE radar with V3.0
Wind and rainfall processing of CLAIRE radar with V3.0

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jroplot_heispectra.py
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'''
Created on Jul 9, 2014
@author: roj-idl71
'''
import os
import datetime
import numpy
from .figure import Figure, isRealtime
from .plotting_codes import *
from schainpy.model.proc.jroproc_base import MPDecorator
@MPDecorator
class SpectraHeisScope_(Figure):
isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'spc'
def __init__(self):#, **kwargs):
Figure.__init__(self)#, **kwargs)
self.isConfig = False
self.__nsubplots = 1
self.WIDTH = 230
self.HEIGHT = 250
self.WIDTHPROF = 120
self.HEIGHTPROF = 0
self.counter_imagwr = 0
self.PLOT_CODE = SPEC_CODE
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,
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
"""
Input:
dataOut :
id :
wintitle :
channelList :
xmin : None,
xmax : None,
ymin : None,
ymax : None,
"""
if dataOut.flagNoData:
return dataOut
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()[0])
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.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(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" %(dataOut.channelList[channelIndexList[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()
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime)
return dataOut
@MPDecorator
class RTIfromSpectraHeis_(Figure):
isConfig = None
__nsubplots = None
PREFIX = 'rtinoise'
def __init__(self):#, **kwargs):
Figure.__init__(self)#, **kwargs)
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
self.PLOT_CODE = RTI_CODE
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,
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
if dataOut.flagNoData:
return dataOut
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
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()[0])
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)
self.tmin, self.tmax = self.getTimeLim(x, xmin, xmax)
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.FTP_WEI = ftp_wei
self.EXP_CODE = exp_code
self.SUB_EXP_CODE = sub_exp_code
self.PLOT_POS = plot_pos
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=self.tmin, xmax=self.tmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='.', markersize=8, linestyle="solid", grid='both',
XAxisAsTime=True
)
self.draw()
update_figfile = False
if dataOut.ltctime >= self.tmax:
self.counter_imagwr = wr_period
self.isConfig = False
update_figfile = True
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime,
update_figfile=update_figfile)
return dataOut