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Add delay in schainv2.3-nm jroIO_digitalRF.py
Add delay in schainv2.3-nm jroIO_digitalRF.py

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jroplot_voltage.py
426 lines | 13.5 KiB | text/x-python | PythonLexer
'''
Created on Jul 9, 2014
@author: roj-idl71
'''
import os
import datetime
import numpy
from figure import Figure
from plotting_codes import *
class Scope(Figure):
isConfig = None
def __init__(self, **kwargs):
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 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 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])
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 == "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)
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)
class VoltACFPLot(Figure):
isConfig = None
__nsubplots = None
PREFIX = 'voltacf'
def __init__(self, **kwargs):
Figure.__init__(self,**kwargs)
self.isConfig = False
self.__nsubplots = 1
self.PLOT_CODE = VOLT_ACF_CODE
self.WIDTH = 900
self.HEIGHT = 700
self.counter_imagwr= 0
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 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 , channel =None, nSamples = None,
nSampleList= None, resolutionFactor=None, xmin= None, xmax = None, ymin=None, ymax=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,
xaxis="time"):
channel0 = channel
nSamples = nSamples
resFactor = resolutionFactor
if nSamples == None:
nSamples = 20
if resFactor == None:
resFactor = 5
if channel0 == None:
channel0 = 0
else:
if channel0 not in dataOut.channelList:
raise ValueError, "Channel %d is not in %s dataOut.channelList"%(channel0, dataOut.channelList)
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))
#factor = dataOut.normFactor
y = dataOut.getHeiRange()
#print y, dataOut.heightList[0]
#print "pause"
#import time
#time.sleep(10)
deltaHeight = dataOut.heightList[1]-dataOut.heightList[0]
z = dataOut.data
shape = dataOut.data.shape
hei_index = numpy.arange(shape[2])
hei_plot = numpy.arange(nSamples)*resFactor
if nSampleList is not None:
for nsample in nSampleList:
if nsample not in dataOut.heightList/deltaHeight:
print "Lista available : %s "%(dataOut.heightList/deltaHeight)
raise ValueError, "nsample %d is not in %s dataOut.heightList"%(nsample,dataOut.heightList)
if nSampleList is not None:
hei_plot = numpy.array(nSampleList)*resFactor
if hei_plot[-1] >= hei_index[-1]:
print ("La cantidad de puntos en altura es %d y la resolucion es %f Km"%(hei_plot.shape[0],deltaHeight*resFactor ))
raise ValueError, "resFactor %d multiplicado por el valor de %d nSamples es mayor a %d cantidad total de puntos"%(resFactor,nSamples,hei_index[-1])
#escalamiento -1 a 1 a resolucion (factor de resolucion en altura)* deltaHeight
#min = numpy.min(z[0,:,0])
#max =numpy.max(z[0,:,0])
for i in range(shape[0]):
for j in range(shape[2]):
min = numpy.min(z[i,:,j])
max = numpy.max(z[i,:,j])
z[i,:,j]= (((z[i,:,j]-min)/(max-min))*deltaHeight*resFactor + j*deltaHeight+dataOut.heightList[0])
if xaxis == "time":
x = dataOut.getAcfRange()*1000
zdB = z[channel0,:,hei_plot]
xlabel = "Time (ms)"
ylabel = "VOLT_ACF"
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
title = wintitle + "VOLT ACF Plot Ch %s %s" %(channel0,thisDatetime.strftime("%d-%b-%Y"))
if not self.isConfig:
nplots = 1
self.setup(id=id,
nplots=nplots,
wintitle=wintitle,
show=show)
if xmin == None: xmin = numpy.nanmin(x)#*0.9
if xmax == None: xmax = numpy.nanmax(x)#*1.1
if ymin == None: ymin = numpy.nanmin(zdB)
if ymax == None: ymax = numpy.nanmax(zdB)
print ("El parametro resFactor es %d y la resolucion en altura es %f"%(resFactor,deltaHeight ))
print ("La cantidad de puntos en altura es %d y la nueva resolucion es %f Km"%(hei_plot.shape[0],deltaHeight*resFactor ))
print ("La altura maxima es %d Km"%(hei_plot[-1]*deltaHeight ))
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)
title = "VOLT ACF Plot: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
axes = self.axesList[0]
legendlabels = ["Range = %dKm" %y[i] for i in hei_plot]
axes.pmultilineyaxis( x, zdB,
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 figfile == None:
str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
name = str_datetime
if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
figfile = self.getFilename(name)
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime)