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Optimizacion de graficos con buffer, el buffer se crea en la clase Axes del modulo figure.py, se agrega el metodo pcolorbuffer....
Optimizacion de graficos con buffer, el buffer se crea en la clase Axes del modulo figure.py, se agrega el metodo pcolorbuffer. En mpldriver.py se agrega el metodo addpcolorbuffer donde se limpia el buffer de matplotlib que genera pcolormesh Estas modificaciones se aplican a los graficos RTI y Mapa de Coherencias.

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jroheaderIO.py
527 lines | 17.9 KiB | text/x-python | PythonLexer
'''
$Author: murco $
$Id: JROHeaderIO.py 151 2012-10-31 19:00:51Z murco $
'''
import sys
import numpy
import copy
import datetime
class Header:
def __init__(self):
raise
def copy(self):
return copy.deepcopy(self)
def read():
pass
def write():
pass
def printInfo(self):
for key in self.__dict__.keys():
print "%s = %s" %(key, self.__dict__[key])
class BasicHeader(Header):
size = None
version = None
dataBlock = None
utc = None
miliSecond = None
timeZone = None
dstFlag = None
errorCount = None
struct = None
datatime = None
__LOCALTIME = None
def __init__(self, localtime=0):
self.size = 0
self.version = 0
self.dataBlock = 0
self.utc = 0
self.miliSecond = 0
self.timeZone = 0
self.dstFlag = 0
self.errorCount = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nVersion','<u2'),
('nDataBlockId','<u4'),
('nUtime','<u4'),
('nMilsec','<u2'),
('nTimezone','<i2'),
('nDstflag','<i2'),
('nErrorCount','<u4')
])
self.__LOCALTIME = localtime
def read(self, fp):
try:
header = numpy.fromfile(fp, self.struct,1)
self.size = int(header['nSize'][0])
self.version = int(header['nVersion'][0])
self.dataBlock = int(header['nDataBlockId'][0])
self.utc = int(header['nUtime'][0])
self.miliSecond = int(header['nMilsec'][0])
self.timeZone = int(header['nTimezone'][0])
self.dstFlag = int(header['nDstflag'][0])
self.errorCount = int(header['nErrorCount'][0])
self.utc += self.__LOCALTIME
self.datatime = datetime.datetime.utcfromtimestamp(self.utc)
except Exception, e:
print "BasicHeader: "
print e
return 0
return 1
def write(self, fp):
self.utc -= self.__LOCALTIME
headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
return 1
class SystemHeader(Header):
size = None
nSamples = None
nProfiles = None
nChannels = None
adcResolution = None
pciDioBusWidth = None
struct = None
def __init__(self):
self.size = 0
self.nSamples = 0
self.nProfiles = 0
self.nChannels = 0
self.adcResolution = 0
self.pciDioBusWidth = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nNumSamples','<u4'),
('nNumProfiles','<u4'),
('nNumChannels','<u4'),
('nADCResolution','<u4'),
('nPCDIOBusWidth','<u4'),
])
def read(self, fp):
try:
header = numpy.fromfile(fp,self.struct,1)
self.size = header['nSize'][0]
self.nSamples = header['nNumSamples'][0]
self.nProfiles = header['nNumProfiles'][0]
self.nChannels = header['nNumChannels'][0]
self.adcResolution = header['nADCResolution'][0]
self.pciDioBusWidth = header['nPCDIOBusWidth'][0]
except Exception, e:
print "SystemHeader: " + e
return 0
return 1
def write(self, fp):
headerTuple = (self.size,self.nSamples,self.nProfiles,self.nChannels,self.adcResolution,self.pciDioBusWidth)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
return 1
class RadarControllerHeader(Header):
size = None
expType = None
nTx = None
ipp = None
txA = None
txB = None
nWindows = None
numTaus = None
codeType = None
line6Function = None
line5Function = None
fClock = None
prePulseBefore = None
prePulserAfter = None
rangeIpp = None
rangeTxA = None
rangeTxB = None
struct = None
def __init__(self):
self.size = 0
self.expType = 0
self.nTx = 0
self.ipp = 0
self.txA = 0
self.txB = 0
self.nWindows = 0
self.numTaus = 0
self.codeType = 0
self.line6Function = 0
self.line5Function = 0
self.fClock = 0
self.prePulseBefore = 0
self.prePulserAfter = 0
self.rangeIpp = 0
self.rangeTxA = 0
self.rangeTxB = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nExpType','<u4'),
('nNTx','<u4'),
('fIpp','<f4'),
('fTxA','<f4'),
('fTxB','<f4'),
('nNumWindows','<u4'),
('nNumTaus','<u4'),
('nCodeType','<u4'),
('nLine6Function','<u4'),
('nLine5Function','<u4'),
('fClock','<f4'),
('nPrePulseBefore','<u4'),
('nPrePulseAfter','<u4'),
('sRangeIPP','<a20'),
('sRangeTxA','<a20'),
('sRangeTxB','<a20'),
])
self.samplingWindowStruct = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')])
self.samplingWindow = None
self.nHeights = None
self.firstHeight = None
self.deltaHeight = None
self.samplesWin = None
self.nCode = None
self.nBaud = None
self.code = None
self.flip1 = None
self.flip2 = None
self.dynamic = numpy.array([],numpy.dtype('byte'))
def read(self, fp):
try:
startFp = fp.tell()
header = numpy.fromfile(fp,self.struct,1)
self.size = int(header['nSize'][0])
self.expType = int(header['nExpType'][0])
self.nTx = int(header['nNTx'][0])
self.ipp = float(header['fIpp'][0])
self.txA = float(header['fTxA'][0])
self.txB = float(header['fTxB'][0])
self.nWindows = int(header['nNumWindows'][0])
self.numTaus = int(header['nNumTaus'][0])
self.codeType = int(header['nCodeType'][0])
self.line6Function = int(header['nLine6Function'][0])
self.line5Function = int(header['nLine5Function'][0])
self.fClock = float(header['fClock'][0])
self.prePulseBefore = int(header['nPrePulseBefore'][0])
self.prePulserAfter = int(header['nPrePulseAfter'][0])
self.rangeIpp = header['sRangeIPP'][0]
self.rangeTxA = header['sRangeTxA'][0]
self.rangeTxB = header['sRangeTxB'][0]
# jump Dynamic Radar Controller Header
jumpFp = self.size - 116
self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpFp)
#pointer backward to dynamic header and read
backFp = fp.tell() - jumpFp
fp.seek(backFp)
self.samplingWindow = numpy.fromfile(fp,self.samplingWindowStruct,self.nWindows)
self.nHeights = int(numpy.sum(self.samplingWindow['nsa']))
self.firstHeight = self.samplingWindow['h0']
self.deltaHeight = self.samplingWindow['dh']
self.samplesWin = self.samplingWindow['nsa']
self.Taus = numpy.fromfile(fp,'<f4',self.numTaus)
if self.codeType != 0:
self.nCode = int(numpy.fromfile(fp,'<u4',1))
self.nBaud = int(numpy.fromfile(fp,'<u4',1))
self.code = numpy.empty([self.nCode,self.nBaud],dtype='u1')
tempList = []
for ic in range(self.nCode):
temp = numpy.fromfile(fp,'u1',4*int(numpy.ceil(self.nBaud/32.)))
tempList.append(temp)
self.code[ic] = numpy.unpackbits(temp[::-1])[-1*self.nBaud:]
self.code = 2.0*self.code - 1.0
if self.line5Function == RCfunction.FLIP:
self.flip1 = numpy.fromfile(fp,'<u4',1)
if self.line6Function == RCfunction.FLIP:
self.flip2 = numpy.fromfile(fp,'<u4',1)
endFp = self.size + startFp
jumpFp = endFp - fp.tell()
if jumpFp > 0:
fp.seek(jumpFp)
except Exception, e:
print "RadarControllerHeader: " + e
return 0
return 1
def write(self, fp):
headerTuple = (self.size,
self.expType,
self.nTx,
self.ipp,
self.txA,
self.txB,
self.nWindows,
self.numTaus,
self.codeType,
self.line6Function,
self.line5Function,
self.fClock,
self.prePulseBefore,
self.prePulserAfter,
self.rangeIpp,
self.rangeTxA,
self.rangeTxB)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
dynamic = self.dynamic
dynamic.tofile(fp)
return 1
class ProcessingHeader(Header):
size = None
dtype = None
blockSize = None
profilesPerBlock = None
dataBlocksPerFile = None
nWindows = None
processFlags = None
nCohInt = None
nIncohInt = None
totalSpectra = None
struct = None
flag_dc = None
flag_cspc = None
def __init__(self):
self.size = 0
self.dtype = 0
self.blockSize = 0
self.profilesPerBlock = 0
self.dataBlocksPerFile = 0
self.nWindows = 0
self.processFlags = 0
self.nCohInt = 0
self.nIncohInt = 0
self.totalSpectra = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nDataType','<u4'),
('nSizeOfDataBlock','<u4'),
('nProfilesperBlock','<u4'),
('nDataBlocksperFile','<u4'),
('nNumWindows','<u4'),
('nProcessFlags','<u4'),
('nCoherentIntegrations','<u4'),
('nIncoherentIntegrations','<u4'),
('nTotalSpectra','<u4')
])
self.samplingWindow = 0
self.structSamplingWindow = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')])
self.nHeights = 0
self.firstHeight = 0
self.deltaHeight = 0
self.samplesWin = 0
self.spectraComb = 0
self.nCode = None
self.code = None
self.nBaud = None
self.shif_fft = False
self.flag_dc = False
self.flag_cspc = False
def read(self, fp):
try:
header = numpy.fromfile(fp,self.struct,1)
self.size = int(header['nSize'][0])
self.dtype = int(header['nDataType'][0])
self.blockSize = int(header['nSizeOfDataBlock'][0])
self.profilesPerBlock = int(header['nProfilesperBlock'][0])
self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0])
self.nWindows = int(header['nNumWindows'][0])
self.processFlags = header['nProcessFlags']
self.nCohInt = int(header['nCoherentIntegrations'][0])
self.nIncohInt = int(header['nIncoherentIntegrations'][0])
self.totalSpectra = int(header['nTotalSpectra'][0])
self.samplingWindow = numpy.fromfile(fp,self.structSamplingWindow,self.nWindows)
self.nHeights = int(numpy.sum(self.samplingWindow['nsa']))
self.firstHeight = float(self.samplingWindow['h0'][0])
self.deltaHeight = float(self.samplingWindow['dh'][0])
self.samplesWin = self.samplingWindow['nsa']
self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra)
if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE):
self.nCode = int(numpy.fromfile(fp,'<u4',1))
self.nBaud = int(numpy.fromfile(fp,'<u4',1))
self.code = numpy.fromfile(fp,'<f4',self.nCode*self.nBaud).reshape(self.nCode,self.nBaud)
if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA):
self.shif_fft = True
else:
self.shif_fft = False
if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC):
self.flag_dc = True
nChannels = 0
nPairs = 0
pairList = []
for i in range( 0, self.totalSpectra*2, 2 ):
if self.spectraComb[i] == self.spectraComb[i+1]:
nChannels = nChannels + 1 #par de canales iguales
else:
nPairs = nPairs + 1 #par de canales diferentes
pairList.append( (self.spectraComb[i], self.spectraComb[i+1]) )
self.flag_cspc = False
if nPairs > 0:
self.flag_cspc = True
except Exception, e:
print "ProcessingHeader: " + e
return 0
return 1
def write(self, fp):
headerTuple = (self.size,
self.dtype,
self.blockSize,
self.profilesPerBlock,
self.dataBlocksPerFile,
self.nWindows,
self.processFlags,
self.nCohInt,
self.nIncohInt,
self.totalSpectra)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
if self.nWindows != 0:
sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin)
samplingWindow = numpy.array(sampleWindowTuple,self.structSamplingWindow)
samplingWindow.tofile(fp)
if self.totalSpectra != 0:
spectraComb = numpy.array([],numpy.dtype('u1'))
spectraComb = self.spectraComb
spectraComb.tofile(fp)
if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE:
nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba
nCode.tofile(fp)
nBaud = numpy.array([self.nBaud], numpy.dtype('u4'))
nBaud.tofile(fp)
code = self.code.reshape(self.nCode*self.nBaud)
code = code.astype(numpy.dtype('<f4'))
code.tofile(fp)
return 1
class RCfunction:
NONE=0
FLIP=1
CODE=2
SAMPLING=3
LIN6DIV256=4
SYNCHRO=5
class nCodeType:
NONE=0
USERDEFINE=1
BARKER2=2
BARKER3=3
BARKER4=4
BARKER5=5
BARKER7=6
BARKER11=7
BARKER13=8
AC128=9
COMPLEMENTARYCODE2=10
COMPLEMENTARYCODE4=11
COMPLEMENTARYCODE8=12
COMPLEMENTARYCODE16=13
COMPLEMENTARYCODE32=14
COMPLEMENTARYCODE64=15
COMPLEMENTARYCODE128=16
CODE_BINARY28=17
class PROCFLAG:
COHERENT_INTEGRATION = numpy.uint32(0x00000001)
DECODE_DATA = numpy.uint32(0x00000002)
SPECTRA_CALC = numpy.uint32(0x00000004)
INCOHERENT_INTEGRATION = numpy.uint32(0x00000008)
POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010)
SHIFT_FFT_DATA = numpy.uint32(0x00000020)
DATATYPE_CHAR = numpy.uint32(0x00000040)
DATATYPE_SHORT = numpy.uint32(0x00000080)
DATATYPE_LONG = numpy.uint32(0x00000100)
DATATYPE_INT64 = numpy.uint32(0x00000200)
DATATYPE_FLOAT = numpy.uint32(0x00000400)
DATATYPE_DOUBLE = numpy.uint32(0x00000800)
DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000)
DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000)
DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000)
SAVE_CHANNELS_DC = numpy.uint32(0x00008000)
DEFLIP_DATA = numpy.uint32(0x00010000)
DEFINE_PROCESS_CODE = numpy.uint32(0x00020000)
ACQ_SYS_NATALIA = numpy.uint32(0x00040000)
ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000)
ACQ_SYS_ADRXD = numpy.uint32(0x000C0000)
ACQ_SYS_JULIA = numpy.uint32(0x00100000)
ACQ_SYS_XXXXXX = numpy.uint32(0x00140000)
EXP_NAME_ESP = numpy.uint32(0x00200000)
CHANNEL_NAMES_ESP = numpy.uint32(0x00400000)
OPERATION_MASK = numpy.uint32(0x0000003F)
DATATYPE_MASK = numpy.uint32(0x00000FC0)
DATAARRANGE_MASK = numpy.uint32(0x00007000)
ACQ_SYS_MASK = numpy.uint32(0x001C0000)