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Script test de pruebas actuales con el update de heading en el block 360, el parametro adicional es heading que se lee del experiment.conf
Script test de pruebas actuales con el update de heading en el block 360, el parametro adicional es heading que se lee del experiment.conf

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jroplot_correlation.py
186 lines | 5.8 KiB | text/x-python | PythonLexer
import os
import datetime
import numpy
import copy
from schainpy.model.graphics.jroplot_base import Plot
class CorrelationPlot(Plot):
isConfig = None
__nsubplots = None
WIDTHPROF = None
HEIGHTPROF = None
PREFIX = 'corr'
def __init__(self, **kwargs):
Figure.__init__(self, **kwargs)
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=False, show=True):
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, showprofile=False,
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
lenfactor = factor.shape[1]
x = dataOut.getLagTRange(1)
y = dataOut.heightList
z = copy.copy(dataOut.data_corr[:,:,0,:])
for i in range(dataOut.data_corr.shape[0]):
z[i,:,:] = z[i,:,:]/factor[i,:]
zdB = numpy.abs(z)
avg = numpy.average(z, axis=1)
# avg = numpy.nanmean(z, axis=1)
# noise = dataOut.noise/factor
#thisDatetime = dataOut.datatime
thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
title = wintitle + " Correlation"
xlabel = "Lag T (s)"
ylabel = "Range (Km)"
if not self.isConfig:
nplots = dataOut.data_corr.shape[0]
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 = 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.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 and %d: : %s" %(dataOut.pairsList[i][0],dataOut.pairsList[i][1] , 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()
self.save(figpath=figpath,
figfile=figfile,
save=save,
ftp=ftp,
wr_period=wr_period,
thisDatetime=thisDatetime)