##// END OF EJS Templates
customftp.py is not necessary because there is another package jroutils, it has FTP module to replace customftp.py
customftp.py is not necessary because there is another package jroutils, it has FTP module to replace customftp.py

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jroplot_spectra.py
1151 lines | 40.1 KiB | text/x-python | PythonLexer
'''
@author: Daniel Suarez
'''
import os
import datetime
import numpy
from figure import Figure, isRealtime
class SpectraPlot(Figure):
isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'spc'
def __init__(self):
self.isConfig = False
self.__nsubplots = 1
self.WIDTH = 280
self.HEIGHT = 250
self.WIDTHPROF = 120
self.HEIGHTPROF = 0
self.counter_imagwr = 0
self.PLOT_CODE = 1
self.FTP_WEI = None
self.EXP_CODE = None
self.SUB_EXP_CODE = None
self.PLOT_POS = None
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, showprofile=True, show=True):
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, showprofile=True,
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
save=False, figpath='', figfile=None, show=True, ftp=False, wr_period=1,
server=None, folder=None, username=None, password=None,
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
"""
Input:
dataOut :
id :
wintitle :
channelList :
showProfile :
xmin : None,
xmax : None,
ymin : None,
ymax : None,
zmin : None,
zmax : None
"""
if dataOut.flagNoData:
return None
if 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))
factor = dataOut.normFactor
x = dataOut.getVelRange(1)
y = dataOut.getHeiRange()
z = dataOut.data_spc[channelIndexList,:,:]/factor
z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
avg = numpy.average(z, axis=1)
avg = numpy.nanmean(z, axis=1)
noise = dataOut.noise/factor
zdB = 10*numpy.log10(z)
avgdB = 10*numpy.log10(avg)
noisedB = 10*numpy.log10(noise)
#thisDatetime = dataOut.datatime
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
title = wintitle + " Spectra"
xlabel = "Velocity (m/s)"
ylabel = "Range (Km)"
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
showprofile=showprofile,
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)
if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
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(self.nplots):
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
axes = self.axesList[i*self.__nsubplots]
axes.pcolor(x, y, zdB[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(avgdB[i], y,
xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
xlabel='dB', ylabel='', title='',
ytick_visible=False,
grid='x')
noiseline = numpy.repeat(noisedB[i], len(y))
axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
self.draw()
if figfile == None:
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
figfile = self.getFilename(name = str_datetime)
if figpath != '':
self.counter_imagwr += 1
if (self.counter_imagwr>=wr_period):
# store png plot to local folder
self.saveFigure(figpath, figfile)
# store png plot to FTP server according to RT-Web format
name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
ftp_filename = os.path.join(figpath, name)
self.saveFigure(figpath, ftp_filename)
self.counter_imagwr = 0
class CrossSpectraPlot(Figure):
isConfig = None
__nsubplots = None
WIDTH = None
HEIGHT = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'cspc'
def __init__(self):
self.isConfig = False
self.__nsubplots = 4
self.counter_imagwr = 0
self.WIDTH = 250
self.HEIGHT = 250
self.WIDTHPROF = 0
self.HEIGHTPROF = 0
self.PLOT_CODE = 1
self.FTP_WEI = None
self.EXP_CODE = None
self.SUB_EXP_CODE = None
self.PLOT_POS = None
def getSubplots(self):
ncol = 4
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
self.createFigure(id = id,
wintitle = wintitle,
widthplot = self.WIDTH + self.WIDTHPROF,
heightplot = self.HEIGHT + self.HEIGHTPROF,
show=True)
nrow, ncol = self.getSubplots()
counter = 0
for y in range(nrow):
for x in range(ncol):
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
counter += 1
def run(self, dataOut, id, wintitle="", pairsList=None,
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
save=False, figpath='', figfile=None, ftp=False, wr_period=1,
power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', 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 :
showProfile :
xmin : None,
xmax : None,
ymin : None,
ymax : None,
zmin : None,
zmax : None
"""
if pairsList == None:
pairsIndexList = dataOut.pairsIndexList
else:
pairsIndexList = []
for pair in pairsList:
if pair not in dataOut.pairsList:
raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
pairsIndexList.append(dataOut.pairsList.index(pair))
if pairsIndexList == []:
return
if len(pairsIndexList) > 4:
pairsIndexList = pairsIndexList[0:4]
factor = dataOut.normFactor
x = dataOut.getVelRange(1)
y = dataOut.getHeiRange()
z = dataOut.data_spc[:,:,:]/factor
# z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
avg = numpy.abs(numpy.average(z, axis=1))
noise = dataOut.noise()/factor
zdB = 10*numpy.log10(z)
avgdB = 10*numpy.log10(avg)
noisedB = 10*numpy.log10(noise)
#thisDatetime = dataOut.datatime
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
xlabel = "Velocity (m/s)"
ylabel = "Range (Km)"
if not self.isConfig:
nplots = len(pairsIndexList)
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
showprofile=False,
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)
if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
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(self.nplots):
pair = dataOut.pairsList[pairsIndexList[i]]
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[pair[0]], str_datetime)
zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]/factor)
axes0 = self.axesList[i*self.__nsubplots]
axes0.pcolor(x, y, zdB,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
xlabel=xlabel, ylabel=ylabel, title=title,
ticksize=9, colormap=power_cmap, cblabel='')
title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[pair[1]], str_datetime)
zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]/factor)
axes0 = self.axesList[i*self.__nsubplots+1]
axes0.pcolor(x, y, zdB,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
xlabel=xlabel, ylabel=ylabel, title=title,
ticksize=9, colormap=power_cmap, cblabel='')
coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
coherence = numpy.abs(coherenceComplex)
# phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi
title = "Coherence %d%d" %(pair[0], pair[1])
axes0 = self.axesList[i*self.__nsubplots+2]
axes0.pcolor(x, y, coherence,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1,
xlabel=xlabel, ylabel=ylabel, title=title,
ticksize=9, colormap=coherence_cmap, cblabel='')
title = "Phase %d%d" %(pair[0], pair[1])
axes0 = self.axesList[i*self.__nsubplots+3]
axes0.pcolor(x, y, phase,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
xlabel=xlabel, ylabel=ylabel, title=title,
ticksize=9, colormap=phase_cmap, cblabel='')
self.draw()
if save:
self.counter_imagwr += 1
if (self.counter_imagwr==wr_period):
if figfile == None:
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
figfile = self.getFilename(name = str_datetime)
self.saveFigure(figpath, figfile)
if ftp:
#provisionalmente envia archivos en el formato de la web en tiempo real
name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
path = '%s%03d' %(self.PREFIX, self.id)
ftp_file = os.path.join(path,'ftp','%s.png'%name)
self.saveFigure(figpath, ftp_file)
ftp_filename = os.path.join(figpath,ftp_file)
try:
self.sendByFTP(ftp_filename, server, folder, username, password)
except:
self.counter_imagwr = 0
print ValueError, 'Error FTP'
self.counter_imagwr = 0
class RTIPlot(Figure):
isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'rti'
def __init__(self):
self.timerange = 2*60*60
self.isConfig = False
self.__nsubplots = 1
self.WIDTH = 800
self.HEIGHT = 150
self.WIDTHPROF = 120
self.HEIGHTPROF = 0
self.counter_imagwr = 0
self.PLOT_CODE = 0
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,
timerange=None,
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):
"""
Input:
dataOut :
id :
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(dataOut.channelList.index(channel))
if timerange != None:
self.timerange = timerange
#tmin = None
#tmax = None
factor = dataOut.normFactor
x = dataOut.getTimeRange()
y = dataOut.getHeiRange()
z = dataOut.data_spc[channelIndexList,:,:]/factor
z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
avg = numpy.average(z, axis=1)
avgdB = 10.*numpy.log10(avg)
# thisDatetime = dataOut.datatime
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
xlabel = ""
ylabel = "Range (Km)"
if not self.isConfig:
nplots = len(channelIndexList)
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
showprofile=showprofile,
show=show)
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
# if timerange != None:
# self.timerange = timerange
# self.xmin, self.tmax = self.getTimeLim(x, xmin, xmax, timerange)
if ymin == None: ymin = numpy.nanmin(y)
if ymax == None: ymax = numpy.nanmax(y)
if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
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
self.setWinTitle(title)
if ((self.xmax - x[1]) < (x[1]-x[0])):
x[1] = self.xmax
for i in range(self.nplots):
title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
axes = self.axesList[i*self.__nsubplots]
zdB = avgdB[i].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%")
if self.__showprofile:
axes = self.axesList[i*self.__nsubplots +1]
axes.pline(avgdB[i], y,
xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
xlabel='dB', ylabel='', title='',
ytick_visible=False,
grid='x')
self.draw()
if x[1] >= self.axesList[0].xmax:
self.counter_imagwr = wr_period
self.__isConfig = False
if self.figfile == None:
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
self.figfile = self.getFilename(name = str_datetime)
if figpath != '':
self.counter_imagwr += 1
if (self.counter_imagwr>=wr_period):
# store png plot to local folder
self.saveFigure(figpath, self.figfile)
# store png plot to FTP server according to RT-Web format
name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
ftp_filename = os.path.join(figpath, name)
self.saveFigure(figpath, ftp_filename)
self.counter_imagwr = 0
class CoherenceMap(Figure):
isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'cmap'
def __init__(self):
self.timerange = 2*60*60
self.isConfig = False
self.__nsubplots = 1
self.WIDTH = 800
self.HEIGHT = 150
self.WIDTHPROF = 120
self.HEIGHTPROF = 0
self.counter_imagwr = 0
self.PLOT_CODE = 3
self.FTP_WEI = None
self.EXP_CODE = None
self.SUB_EXP_CODE = None
self.PLOT_POS = None
self.counter_imagwr = 0
self.xmin = None
self.xmax = None
def getSubplots(self):
ncol = 1
nrow = self.nplots*2
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=True)
nrow, ncol = self.getSubplots()
for y in range(nrow):
for x in range(ncol):
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
if showprofile:
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
timerange=None,
save=False, figpath='', figfile=None, ftp=False, wr_period=1,
coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
server=None, folder=None, username=None, password=None,
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
if pairsList == None:
pairsIndexList = dataOut.pairsIndexList
else:
pairsIndexList = []
for pair in pairsList:
if pair not in dataOut.pairsList:
raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
pairsIndexList.append(dataOut.pairsList.index(pair))
if timerange != None:
self.timerange = timerange
if pairsIndexList == []:
return
if len(pairsIndexList) > 4:
pairsIndexList = pairsIndexList[0:4]
# tmin = None
# tmax = None
x = dataOut.getTimeRange()
y = dataOut.getHeiRange()
#thisDatetime = dataOut.datatime
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
xlabel = ""
ylabel = "Range (Km)"
if not self.isConfig:
nplots = len(pairsIndexList)
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
showprofile=showprofile,
show=show)
#tmin, tmax = self.getTimeLim(x, xmin, xmax)
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
if ymin == None: ymin = numpy.nanmin(y)
if ymax == None: ymax = numpy.nanmax(y)
if zmin == None: zmin = 0.
if zmax == None: zmax = 1.
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.setWinTitle(title)
if ((self.xmax - x[1]) < (x[1]-x[0])):
x[1] = self.xmax
for i in range(self.nplots):
pair = dataOut.pairsList[pairsIndexList[i]]
ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0)
powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0)
powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0)
avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
coherence = numpy.abs(avgcoherenceComplex)
z = coherence.reshape((1,-1))
counter = 0
title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
axes = self.axesList[i*self.__nsubplots*2]
axes.pcolorbuffer(x, y, z,
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='', colormap=coherence_cmap, cbsize="1%")
if self.__showprofile:
counter += 1
axes = self.axesList[i*self.__nsubplots*2 + counter]
axes.pline(coherence, y,
xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
xlabel='', ylabel='', title='', ticksize=7,
ytick_visible=False, nxticks=5,
grid='x')
counter += 1
phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
z = phase.reshape((1,-1))
title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
axes = self.axesList[i*self.__nsubplots*2 + counter]
axes.pcolorbuffer(x, y, z,
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%")
if self.__showprofile:
counter += 1
axes = self.axesList[i*self.__nsubplots*2 + counter]
axes.pline(phase, y,
xmin=-180, xmax=180, ymin=ymin, ymax=ymax,
xlabel='', ylabel='', title='', ticksize=7,
ytick_visible=False, nxticks=4,
grid='x')
self.draw()
if x[1] >= self.axesList[0].xmax:
self.counter_imagwr = wr_period
self.__isConfig = False
if figfile == None:
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
figfile = self.getFilename(name = str_datetime)
if figpath != '':
self.counter_imagwr += 1
if (self.counter_imagwr>=wr_period):
# store png plot to local folder
self.saveFigure(figpath, figfile)
# store png plot to FTP server according to RT-Web format
name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
ftp_filename = os.path.join(figpath, name)
self.saveFigure(figpath, ftp_filename)
self.counter_imagwr = 0
class PowerProfile(Figure):
isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'spcprofile'
def __init__(self):
self.isConfig = False
self.__nsubplots = 1
self.WIDTH = 300
self.HEIGHT = 500
self.counter_imagwr = 0
def getSubplots(self):
ncol = 1
nrow = 1
return nrow, ncol
def setup(self, id, nplots, wintitle, show):
self.nplots = nplots
ncolspan = 1
colspan = 1
self.createFigure(id = id,
wintitle = wintitle,
widthplot = self.WIDTH,
heightplot = self.HEIGHT,
show=show)
nrow, ncol = self.getSubplots()
counter = 0
for y in range(nrow):
for x in range(ncol):
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
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,
server=None, folder=None, username=None, password=None,):
if dataOut.flagNoData:
return None
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))
try:
factor = dataOut.normFactor
except:
factor = 1
y = dataOut.getHeiRange()
#for voltage
if dataOut.type == 'Voltage':
x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
x = x.real
x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
#for spectra
if dataOut.type == 'Spectra':
x = dataOut.data_spc[channelIndexList,:,:]/factor
x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
x = numpy.average(x, axis=1)
xdB = 10*numpy.log10(x)
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y"))
xlabel = "dB"
ylabel = "Range (Km)"
if not self.isConfig:
nplots = 1
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
show=show)
if ymin == None: ymin = numpy.nanmin(y)
if ymax == None: ymax = numpy.nanmax(y)
if xmin == None: xmin = numpy.nanmin(xdB)*0.9
if xmax == None: xmax = numpy.nanmax(xdB)*0.9
self.__isConfig = True
self.setWinTitle(title)
title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
axes = self.axesList[0]
legendlabels = ["channel %d"%x for x in channelList]
axes.pmultiline(xdB, y,
xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels,
ytick_visible=True, nxticks=5,
grid='x')
self.draw()
if save:
date = thisDatetime.strftime("%Y%m%d")
if figfile == None:
figfile = self.getFilename(name = date)
self.saveFigure(figpath, figfile)
self.counter_imagwr += 1
if (ftp and (self.counter_imagwr==wr_period)):
ftp_filename = os.path.join(figpath,figfile)
self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
self.counter_imagwr = 0
class Noise(Figure):
isConfig = None
__nsubplots = None
PREFIX = 'noise'
def __init__(self):
self.timerange = 24*60*60
self.isConfig = False
self.__nsubplots = 1
self.counter_imagwr = 0
self.WIDTH = 600
self.HEIGHT = 300
self.WIDTHPROF = 120
self.HEIGHTPROF = 0
self.xdata = None
self.ydata = None
self.PLOT_CODE = 77
self.FTP_WEI = None
self.EXP_CODE = None
self.SUB_EXP_CODE = None
self.PLOT_POS = None
def getSubplots(self):
ncol = 1
nrow = 1
return nrow, ncol
def openfile(self, filename):
f = open(filename,'w+')
f.write('\n\n')
f.write('JICAMARCA RADIO OBSERVATORY - Noise \n')
f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' )
f.close()
def save_data(self, filename_phase, data, data_datetime):
f=open(filename_phase,'a')
timetuple_data = data_datetime.timetuple()
day = str(timetuple_data.tm_mday)
month = str(timetuple_data.tm_mon)
year = str(timetuple_data.tm_year)
hour = str(timetuple_data.tm_hour)
minute = str(timetuple_data.tm_min)
second = str(timetuple_data.tm_sec)
f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n')
f.close()
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, show=True, ftp=False, wr_period=1,
server=None, folder=None, username=None, password=None,
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
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
tmin = None
tmax = None
x = dataOut.getTimeRange()
y = dataOut.getHeiRange()
factor = dataOut.normFactor
noise = dataOut.noise()/factor
noisedB = 10*numpy.log10(noise)
#thisDatetime = dataOut.datatime
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
xlabel = ""
ylabel = "Intensity (dB)"
if not self.isConfig:
nplots = 1
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
showprofile=showprofile,
show=show)
tmin, tmax = self.getTimeLim(x, xmin, xmax)
if ymin == None: ymin = numpy.nanmin(noisedB) - 10.0
if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0
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.xdata = numpy.array([])
self.ydata = numpy.array([])
#open file beacon phase
path = '%s%03d' %(self.PREFIX, self.id)
noise_file = os.path.join(path,'%s.txt'%self.name)
self.filename_noise = os.path.join(figpath,noise_file)
self.openfile(self.filename_noise)
#store data beacon phase
self.save_data(self.filename_noise, noisedB, thisDatetime)
self.setWinTitle(title)
title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
legendlabels = ["channel %d"%(idchannel+1) for idchannel in channelList]
axes = self.axesList[0]
self.xdata = numpy.hstack((self.xdata, x[0:1]))
if len(self.ydata)==0:
self.ydata = noisedB[channelIndexList].reshape(-1,1)
else:
self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1)))
axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
XAxisAsTime=True, grid='both'
)
self.draw()
# if save:
#
# if figfile == None:
# figfile = self.getFilename(name = self.name)
#
# self.saveFigure(figpath, figfile)
if save:
self.counter_imagwr += 1
if (self.counter_imagwr==wr_period):
if figfile == None:
figfile = self.getFilename(name = self.name)
self.saveFigure(figpath, figfile)
if ftp:
#provisionalmente envia archivos en el formato de la web en tiempo real
name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
path = '%s%03d' %(self.PREFIX, self.id)
ftp_file = os.path.join(path,'ftp','%s.png'%name)
self.saveFigure(figpath, ftp_file)
ftp_filename = os.path.join(figpath,ftp_file)
self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
self.counter_imagwr = 0
self.counter_imagwr = 0
if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
self.isConfig = False
del self.xdata
del self.ydata