# for all the CN0 data per Signaltype and SVID => add NaN for missing data
# for index, signalType in enumerate(signalTypesSVID):
print('\nmeasTOW = %d - %d - %d' %
(len(measTOW), len(measTOW[0]), len(measTOW[-1])))
print(measTOW[0])
print(measTOW[-1])
for i, measTOWi in enumerate(measTOW):
print('measTOW[%d] = %f - %f' % (i, measTOWi[0], measTOWi[-1]))
for i, measCN0i in enumerate(measCN0):
print('measCN0[%d] = %f - %f' % (i, measCN0i[0], measCN0i[-1]))
for i, SVID in enumerate(SVIDlist):
print('Observed SV %d - SignalType = %d' % (SVID, STlist[i]))
# adjust the measCNO arrays to fill with NaN as to fit the TOWall array for plotting
measCN0span = []
for i in range(len(measCN0)):
measCN0span.append(fillDataGaps(TOWspan, measTOW[i], measCN0[i]))
for i in range(len(measCN0)):
print('measCN0span[%d] = %s (%d)' %
(i, measCN0span[i], len(measCN0span[i])))
# create the plots for each signaltype
plotCN0.plotCN0(SVIDlist, STlist, TOWspan, UTCspan, measCN0span,
dateString, verbose)
sys.exit(E_SUCCESS)
print('UTCspan = %s => %s (%d)' % (UTCspan[0], UTCspan[-1], np.size(UTCspan)))
# for all the CN0 data per Signaltype and SVID => add NaN for missing data
# for index, signalType in enumerate(signalTypesSVID):
print('\nmeasTOW = %d - %d - %d' % (len(measTOW), len(measTOW[0]), len(measTOW[-1])))
for i, measTOWi in enumerate(measTOW):
print('measTOW[%d] = %f - %f' % (i, measTOWi[0], measTOWi[-1]))
for i, measCN0i in enumerate(measCN0):
print('measCN0[%d] = %f - %f' % (i, measCN0i[0], measCN0i[-1]))
for i, SVID in enumerate(SVIDlist):
print('Observed SV %d - SignalType = %d' % (SVID, STlist[i]))
# adjust the measCNO arrays to fill with NaN as to fit the TOWall array for plotting
measCN0span = []
for i in range(len(measCN0)):
measCN0span.append(fillDataGaps(TOWspan, measTOW[i], measCN0[i]))
for i in range(len(measCN0)):
print('measCN0span[%d] = %s (%d)' % (i, measCN0span[i], len(measCN0span[i])))
# creates the lists of elevation and the coresponding Tow
fSV = SVIDsVis[0]
for i in SVIDsVis:
ELEVATIONVisibility, ELEVATIONTow = extractELEVATION(i, dataVisibility, visibilityTOW, verbose)
ELEVATIONTowUTC = plotCN0.TOW2UTC(1873, ELEVATIONTow)
plotCN0.plotCN0(i, fSV, SVIDlist, STlist, ELEVATIONTowUTC, UTCspan, JammingStartTime, JammingEndTime, measCN0span, ELEVATIONVisibility, JammingValues, dateString, verbose)
# create the plots for each signaltype
sys.exit(E_SUCCESS)
print ('TOWspan = %f => %f (%d)' % (TOWspan[0], TOWspan[-1], np.size(TOWspan)))
print ('UTCspan = %s => %s (%d)' % (UTCspan[0], UTCspan[-1], np.size(UTCspan)))
# for all the CN0 data per Signaltype and SVID => add NaN for missing data
# for index, signalType in enumerate(signalTypesSVID):
print('\nmeasTOW = %d - %d - %d' % (len(measTOW), len(measTOW[0]), len(measTOW[-1])))
print(measTOW[0])
print(measTOW[-1])
for i, measTOWi in enumerate(measTOW):
print('measTOW[%d] = %f - %f' % (i, measTOWi[0], measTOWi[-1]))
for i, measCN0i in enumerate(measCN0):
print('measCN0[%d] = %f - %f' % (i, measCN0i[0], measCN0i[-1]))
for i,SVID in enumerate(SVIDlist):
print('Observed SV %d - SignalType = %d' % (SVID, STlist[i]))
# adjust the measCNO arrays to fill with NaN as to fit the TOWall array for plotting
measCN0span = []
for i in range(len(measCN0)):
measCN0span.append(fillDataGaps(TOWspan, measTOW[i], measCN0[i]))
for i in range(len(measCN0)):
print('measCN0span[%d] = %s (%d)' % (i, measCN0span[i], len(measCN0span[i])))
# create the plots for each signaltype
plotCN0.plotCN0(SVIDlist, STlist, TOWspan, UTCspan, measCN0span, dateString, verbose)
sys.exit(E_SUCCESS)
for i, measTOWi in enumerate(measTOW):
print('measTOW[%d] = %f - %f' % (i, measTOWi[0], measTOWi[-1]))
for i, measCN0i in enumerate(measCN0):
print('measCN0[%d] = %f - %f' % (i, measCN0i[0], measCN0i[-1]))
for i, SVID in enumerate(SVIDlist):
print('Observed SV %d - SignalType = %d' % (SVID, STlist[i]))
# adjust the measCNO arrays to fill with NaN as to fit the TOWall array for plotting
measCN0span = []
for i in range(len(measCN0)):
measCN0span.append(fillDataGaps(TOWspan, measTOW[i], measCN0[i]))
for i in range(len(measCN0)):
print('measCN0span[%d] = %s (%d)' %
(i, measCN0span[i], len(measCN0span[i])))
# creates the lists of elevation and the coresponding Tow
fSV = SVIDsVis[0]
for i in SVIDsVis:
ELEVATIONVisibility, ELEVATIONTow = extractELEVATION(
i, dataVisibility, visibilityTOW, verbose)
ELEVATIONTowUTC = plotCN0.TOW2UTC(1873, ELEVATIONTow)
plotCN0.plotCN0(i, fSV, SVIDlist, STlist, ELEVATIONTowUTC, UTCspan,
JammingStartTime, JammingEndTime, measCN0span,
ELEVATIONVisibility, JammingValues, dateString,
verbose)
# create the plots for each signaltype
sys.exit(E_SUCCESS)
