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En jrodata.py no se considera el factor para el caso del filtro en alturas, por el momento solo se realiza la suma de los valores sin ninguna division o normalizacion de este resultado, verficar en jroprocessing.py....
En jrodata.py no se considera el factor para el caso del filtro en alturas, por el momento solo se realiza la suma de los valores sin ninguna division o normalizacion de este resultado, verficar en jroprocessing.py. En jrodataIO.py y jroheaderIO.py se hacen correcciones para la escritura de datos formato pdata. En jroplot.py se agrega variable habilitar o deshabilitar la normalizacion de los datos, por defecto considera la normalizacion

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JROData.py
104 lines | 2.4 KiB | text/x-python | PythonLexer
'''
Created on Feb 7, 2012
@author $Author$
@version $Id$
'''
import copy
import numpy
from JROHeader import RadarControllerHeader, ProcessingHeader, SystemHeader, BasicHeader
class Data:
'''
classdocs
'''
def __init__(self):
'''
Constructor
'''
raise ValueError, "This class has not been implemented"
def copy(self, objIn=None):
if objIn == None:
return copy.deepcopy(self)
for key in objIn.__dict__.keys():
self.__dict__[key] = objIn.__dict__[key]
def deepcopy(self):
return copy.deepcopy(self)
class JROData(Data):
'''
classdocs
'''
radarControllerHeaderObj = RadarControllerHeader()
m_ProcessingHeader = ProcessingHeader()
systemHeaderObj = SystemHeader()
m_BasicHeader = BasicHeader()
noise = None
type = None
dataType = None
nHeights = None
nProfiles = None
nChannels = None
heightList = None
channelList = None
channelIndexList = None
pairList = None
flagNoData = False
flagResetProcessing = False
def __init__(self):
'''
Constructor
'''
raise ValueError, "This class has not been implemented"
def updateHeaderFromObj(self):
xi = self.heightList[0]
step = self.heightList[1] - self.heightList[0]
self.m_ProcessingHeader.firstHeight = xi
self.m_ProcessingHeader.deltaHeight = step
self.m_ProcessingHeader.numHeights = self.nHeights
self.systemHeaderObj.numChannels = self.nChannels
self.systemHeaderObj.numProfiles = self.nProfiles
def updateObjFromHeader(self):
xi = self.m_ProcessingHeader.firstHeight
step = self.m_ProcessingHeader.deltaHeight
xf = xi + self.m_ProcessingHeader.numHeights*step
self.heightList = numpy.arange(xi, xf, step)
self.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels)
self.channelList = numpy.arange(self.systemHeaderObj.numChannels)
self.nHeights = len(self.heightList)
self.nProfiles = self.systemHeaderObj.numProfiles
self.nChannels = len(self.channelList)