jroplot_correlation.py
186 lines
| 5.9 KiB
| text/x-python
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PythonLexer
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r502 | import os | |
import datetime | |||
import numpy | |||
import copy | |||
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r954 | from schainpy.model import * | |
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r1167 | from .figure import Figure, isRealtime | |
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r502 | ||
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r1187 | class CorrelationPlot_(Figure): | |
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r502 | isConfig = None | |
__nsubplots = None | |||
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r897 | ||
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r502 | WIDTHPROF = None | |
HEIGHTPROF = None | |||
PREFIX = 'corr' | |||
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r897 | ||
def __init__(self, **kwargs): | |||
Figure.__init__(self, **kwargs) | |||
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r502 | self.isConfig = False | |
self.__nsubplots = 1 | |||
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r897 | ||
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r502 | self.WIDTH = 280 | |
self.HEIGHT = 250 | |||
self.WIDTHPROF = 120 | |||
self.HEIGHTPROF = 0 | |||
self.counter_imagwr = 0 | |||
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r897 | ||
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r502 | self.PLOT_CODE = 1 | |
self.FTP_WEI = None | |||
self.EXP_CODE = None | |||
self.SUB_EXP_CODE = None | |||
self.PLOT_POS = None | |||
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r897 | ||
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r502 | def getSubplots(self): | |
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r897 | ||
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r502 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
nrow = int(self.nplots*1./ncol + 0.9) | |||
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r897 | ||
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r502 | return nrow, ncol | |
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r897 | ||
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r502 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): | |
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r897 | ||
showprofile = False | |||
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r502 | self.__showprofile = showprofile | |
self.nplots = nplots | |||
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r897 | ||
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r502 | ncolspan = 1 | |
colspan = 1 | |||
if showprofile: | |||
ncolspan = 3 | |||
colspan = 2 | |||
self.__nsubplots = 2 | |||
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r897 | ||
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r502 | self.createFigure(id = id, | |
wintitle = wintitle, | |||
widthplot = self.WIDTH + self.WIDTHPROF, | |||
heightplot = self.HEIGHT + self.HEIGHTPROF, | |||
show=show) | |||
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r897 | ||
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r502 | nrow, ncol = self.getSubplots() | |
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r897 | ||
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r502 | counter = 0 | |
for y in range(nrow): | |||
for x in range(ncol): | |||
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r897 | ||
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r502 | if counter >= self.nplots: | |
break | |||
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r897 | ||
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r502 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
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r897 | ||
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r502 | if showprofile: | |
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |||
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r897 | ||
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r502 | counter += 1 | |
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r897 | ||
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r502 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, | |
xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |||
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r568 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
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r502 | server=None, folder=None, username=None, password=None, | |
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): | |||
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r897 | ||
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r502 | """ | |
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r897 | ||
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r502 | Input: | |
dataOut : | |||
id : | |||
wintitle : | |||
channelList : | |||
showProfile : | |||
xmin : None, | |||
xmax : None, | |||
ymin : None, | |||
ymax : None, | |||
zmin : None, | |||
zmax : None | |||
""" | |||
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r897 | ||
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r502 | if dataOut.flagNoData: | |
return None | |||
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r897 | ||
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r502 | if realtime: | |
if not(isRealtime(utcdatatime = dataOut.utctime)): | |||
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r1167 | print('Skipping this plot function') | |
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r502 | return | |
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r897 | ||
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r502 | if channelList == None: | |
channelIndexList = dataOut.channelIndexList | |||
else: | |||
channelIndexList = [] | |||
for channel in channelList: | |||
if channel not in dataOut.channelList: | |||
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r1167 | raise ValueError("Channel %d is not in dataOut.channelList") | |
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r502 | channelIndexList.append(dataOut.channelList.index(channel)) | |
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r897 | ||
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r502 | factor = dataOut.normFactor | |
lenfactor = factor.shape[1] | |||
x = dataOut.getLagTRange(1) | |||
y = dataOut.getHeiRange() | |||
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r897 | ||
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r502 | z = copy.copy(dataOut.data_corr[:,:,0,:]) | |
for i in range(dataOut.data_corr.shape[0]): | |||
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r897 | z[i,:,:] = z[i,:,:]/factor[i,:] | |
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r502 | zdB = numpy.abs(z) | |
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r897 | ||
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r502 | avg = numpy.average(z, axis=1) | |
# avg = numpy.nanmean(z, axis=1) | |||
# noise = dataOut.noise/factor | |||
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r897 | ||
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r502 | #thisDatetime = dataOut.datatime | |
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r568 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
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r897 | title = wintitle + " Correlation" | |
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r502 | xlabel = "Lag T (s)" | |
ylabel = "Range (Km)" | |||
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r897 | ||
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r502 | if not self.isConfig: | |
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r897 | ||
nplots = dataOut.data_corr.shape[0] | |||
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r502 | self.setup(id=id, | |
nplots=nplots, | |||
wintitle=wintitle, | |||
showprofile=showprofile, | |||
show=show) | |||
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r897 | ||
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r502 | 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 | |||
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r897 | ||
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r502 | self.FTP_WEI = ftp_wei | |
self.EXP_CODE = exp_code | |||
self.SUB_EXP_CODE = sub_exp_code | |||
self.PLOT_POS = plot_pos | |||
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r897 | ||
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r502 | self.isConfig = True | |
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r897 | ||
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r502 | self.setWinTitle(title) | |
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r897 | ||
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r502 | for i in range(self.nplots): | |
str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |||
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r713 | title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0],dataOut.pairsList[i][1] , str_datetime) | |
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r502 | 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='') | |||
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r897 | ||
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r502 | # 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') | |||
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r897 | # | |
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r502 | # noiseline = numpy.repeat(noisedB[i], len(y)) | |
# axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |||
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r897 | ||
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r502 | self.draw() | |
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r897 | ||
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r573 | self.save(figpath=figpath, | |
figfile=figfile, | |||
save=save, | |||
ftp=ftp, | |||
wr_period=wr_period, | |||
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r1167 | thisDatetime=thisDatetime) |