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Update plot codes, add meta attribute to dataOut to send metadata to plots
Update plot codes, add meta attribute to dataOut to send metadata to plots

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jroplot_voltage.py
225 lines | 7.7 KiB | text/x-python | PythonLexer
'''
Created on Jul 9, 2014
@author: roj-idl71
'''
import os
import datetime
import numpy
from figure import Figure
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)