def plotMenu(MCCList, MCSList):
'''
Purpose:: The flow of plots for the user to choose
Input:: MCCList: a list of directories representing a list of nodes in the MCC
MCSList: a list of directories representing a list of nodes in the MCS
Output:: None
'''
option = displayPlotMenu()
while option != 0:
try:
if option == 1:
print "Generating Accumulated Rainfall from TRMM for the entire period ...\n"
mccSearch.plotAccTRMM(MCSList)
if option == 2:
startDateTime = raw_input(
"> Please enter the start date and time yyyy-mm-dd_hr:mm:ss format: \n"
)
endDateTime = raw_input(
"> Please enter the end date and time yyyy-mm-dd_hr:mm:ss format: \n"
)
print "Generating acccumulated rainfall between ", startDateTime, " and ", endDateTime, " ... \n"
mccSearch.plotAccuInTimeRange(startDateTime, endDateTime)
if option == 3:
print "Generating area distribution plot ... \n"
mccSearch.displaySize(MCCList)
if option == 4:
print "Generating precipitation and area distribution plot ... \n"
mccSearch.displayPrecip(MCCList)
if option == 5:
try:
print "Generating histogram of precipitation for each time ... \n"
mccSearch.plotPrecipHistograms(MCCList)
except:
pass
except:
print "Invalid option. Please try again, enter 0 to exit \n"
option = displayPlotMenu()
return
def plotMenu(MCCList, MCSList):
'''
Purpose:: The flow of plots for the user to choose
Input:: MCCList: a list of directories representing a list of nodes in the MCC
MCSList: a list of directories representing a list of nodes in the MCS
Output:: None
'''
option = displayPlotMenu()
while option != 0:
try:
if option == 1:
print "Generating Accumulated Rainfall from TRMM for the entire period ...\n"
mccSearch.plotAccTRMM(MCCList)
if option == 2:
startDateTime = raw_input("> Please enter the start date and time yyyy-mm-dd_hr:mm:ss format: \n")
endDateTime = raw_input("> Please enter the end date and time yyyy-mm-dd_hr:mm:ss format: \n")
print "Generating acccumulated rainfall between ", startDateTime," and ", endDateTime, " ... \n"
mccSearch.plotAccuInTimeRange(startDateTime, endDateTime)
if option == 3:
print "Generating area distribution plot ... \n"
mccSearch.displaySize(MCCList)
if option == 4:
print "Generating precipitation and area distribution plot ... \n"
mccSearch.displayPrecip(MCCList)
if option == 5:
try:
print "Generating histogram of precipitation for each time ... \n"
mccSearch.plotPrecipHistograms(MCCList)
except:
pass
except:
print "Invalid option. Please try again, enter 0 to exit \n"
option = displayPlotMenu()
return
def main():
CEGraph = nx.DiGraph()
prunedGraph = nx.DiGraph()
MCCList = []
MCSList = []
MCSMCCNodesList = []
allMCSsList = []
allCETRMMList = []
# for GrADs
subprocess.call('export DISPLAY=:0.0', shell=True)
mainDirStr = "/directory/to/where/to/store/outputs"
TRMMdirName = "/directory/to/the/TRMM/netCDF/files"
CEoriDirName = "/directory/to/the/MERG/netCDF/files"
# for first time working with the raw MERG zipped files
# mccSearch.preprocessingMERG("/directory/to/where/the/raw/MERG/files/are")
# ---------------------------------------------------------------------------------
# create main directory and file structure for storing intel
mccSearch.createMainDirectory(mainDirStr)
TRMMCEdirName = mainDirStr + '/TRMMnetcdfCEs'
CEdirName = mainDirStr + '/MERGnetcdfCEs'
# for doing some postprocessing with the clipped datasets instead of running the full program, e.g.
# mccSearch.postProcessingNetCDF(3,CEoriDirName)
# mccSearch.postProcessingNetCDF(2)
# -------------------------------------------------------------------------------------------------
# let's go!
print "\n -------------- Read MERG Data ----------"
mergImgs, timeList = mccSearch.readMergData(CEoriDirName)
print("-" * 80)
print 'in main', len(mergImgs)
# print 'timeList', timeList
print 'TRMMdirName ', TRMMdirName
print "\n -------------- TESTING findCloudElements ----------"
CEGraph = mccSearch.findCloudElements(mergImgs, timeList, TRMMdirName)
# if the TRMMdirName wasnt entered for whatever reason, you can still get the TRMM data this way
# CEGraph = mccSearch.findCloudElements(mergImgs,timeList)
# allCETRMMList=mccSearch.findPrecipRate(TRMMdirName,timeList)
# ----------------------------------------------------------------------------------------------
print("-" * 80)
print "number of nodes in CEGraph is: ", CEGraph.number_of_nodes()
print("-" * 80)
print "\n -------------- TESTING findCloudClusters ----------"
prunedGraph = mccSearch.findCloudClusters(CEGraph)
print("-" * 80)
print "number of nodes in prunedGraph is: ", prunedGraph.number_of_nodes()
print("-" * 80)
print "\n -------------- TESTING findMCCs ----------"
MCCList, MCSList = mccSearch.findMCC(prunedGraph)
print("-" * 80)
print "MCC List has been acquired ", len(MCCList)
print "MCS List has been acquired ", len(MCSList)
print("-" * 80)
# now ready to perform various calculations/metrics
print "\n -------------- TESTING METRICS ----------"
# some calculations/metrics that work that work
# print "creating the MCC userfile ", mccSearch.createTextFile(MCCList,1)
# print "creating the MCS userfile ", mccSearch.createTextFile(MCSList,2)
# MCCTimes, tdelta = mccSearch.temporalAndAreaInfoMetric(MCCList)
# print "number of MCCs is: ", mccSearch.numberOfFeatures(MCCList)
# print "longest duration is: ", mccSearch.longestDuration(MCCTimes), "hrs"
# print "shortest duration is: ", mccSearch.shortestDuration(MCCTimes), "hrs"
# #print "Average duration is: ", mccSearch.convert_timedelta(mccSearch.averageMCCLength(MCCTimes))
# print "Average duration is: ", mccSearch.averageDuration(MCCTimes), "hrs"
# print "Average size is: ", mccSearch.averageFeatureSize(MCCList), "km^2"
# some plots that work
# mccSearch.plotAccTRMM(MCCList)
mccSearch.displayPrecip(MCCList)
# mccSearch.plotAccuInTimeRange('2009-09-01_00:00:00', '2009-09-01_09:00:00')
# mccSearch.displaySize(MCCList)
# mccSearch.displayPrecip(MCCList)
# mccSearch.plotHistogram(MCCList)
#
print("-" * 80)
def main():
CEGraph = nx.DiGraph()
prunedGraph = nx.DiGraph()
MCCList =[]
MCSList=[]
MCSMCCNodesList =[]
allMCSsList =[]
allCETRMMList =[]
#for GrADs
subprocess.call('export DISPLAY=:0.0', shell=True)
mainDirStr= "/directory/to/where/to/store/outputs"
TRMMdirName = "/directory/to/the/TRMM/netCDF/files"
CEoriDirName = "/directory/to/the/MERG/netCDF/files"
#for first time working with the raw MERG zipped files
# mccSearch.preprocessingMERG("/directory/to/where/the/raw/MERG/files/are")
# ---------------------------------------------------------------------------------
#create main directory and file structure for storing intel
mccSearch.createMainDirectory(mainDirStr)
TRMMCEdirName = mainDirStr+'/TRMMnetcdfCEs'
CEdirName = mainDirStr+'/MERGnetcdfCEs'
# for doing some postprocessing with the clipped datasets instead of running the full program, e.g.
# mccSearch.postProcessingNetCDF(3,CEoriDirName)
# mccSearch.postProcessingNetCDF(2)
# -------------------------------------------------------------------------------------------------
#let's go!
print "\n -------------- Read MERG Data ----------"
mergImgs, timeList = mccSearch.readMergData(CEoriDirName)
print ("-"*80)
print 'in main', len(mergImgs)
#print 'timeList', timeList
print 'TRMMdirName ', TRMMdirName
print "\n -------------- TESTING findCloudElements ----------"
CEGraph = mccSearch.findCloudElements(mergImgs,timeList,TRMMdirName)
#if the TRMMdirName wasnt entered for whatever reason, you can still get the TRMM data this way
# CEGraph = mccSearch.findCloudElements(mergImgs,timeList)
# allCETRMMList=mccSearch.findPrecipRate(TRMMdirName,timeList)
# ----------------------------------------------------------------------------------------------
print ("-"*80)
print "number of nodes in CEGraph is: ", CEGraph.number_of_nodes()
print ("-"*80)
print "\n -------------- TESTING findCloudClusters ----------"
prunedGraph = mccSearch.findCloudClusters(CEGraph)
print ("-"*80)
print "number of nodes in prunedGraph is: ", prunedGraph.number_of_nodes()
print ("-"*80)
print "\n -------------- TESTING findMCCs ----------"
MCCList,MCSList = mccSearch.findMCC(prunedGraph)
print ("-"*80)
print "MCC List has been acquired ", len(MCCList)
print "MCS List has been acquired ", len(MCSList)
print ("-"*80)
#now ready to perform various calculations/metrics
print "\n -------------- TESTING METRICS ----------"
#some calculations/metrics that work that work
# print "creating the MCC userfile ", mccSearch.createTextFile(MCCList,1)
# print "creating the MCS userfile ", mccSearch.createTextFile(MCSList,2)
# MCCTimes, tdelta = mccSearch.temporalAndAreaInfoMetric(MCCList)
# print "number of MCCs is: ", mccSearch.numberOfFeatures(MCCList)
# print "longest duration is: ", mccSearch.longestDuration(MCCTimes), "hrs"
# print "shortest duration is: ", mccSearch.shortestDuration(MCCTimes), "hrs"
# #print "Average duration is: ", mccSearch.convert_timedelta(mccSearch.averageMCCLength(MCCTimes))
# print "Average duration is: ", mccSearch.averageDuration(MCCTimes), "hrs"
# print "Average size is: ", mccSearch.averageFeatureSize(MCCList), "km^2"
#some plots that work
# mccSearch.plotAccTRMM(MCCList)
mccSearch.displayPrecip(MCCList)
# mccSearch.plotAccuInTimeRange('2009-09-01_00:00:00', '2009-09-01_09:00:00')
# mccSearch.displaySize(MCCList)
# mccSearch.displayPrecip(MCCList)
# mccSearch.plotHistogram(MCCList)
#
print ("-"*80)
