gridData/gOpenMol.py
def read(self, filename):
        """Populate the instance from the plt file *filename*."""
        from struct import calcsize, unpack
        if not filename is None:
            self.filename = filename
        with open(self.filename, 'rb') as plt:
            h = self.header = self._read_header(plt)
            nentries = h['nx'] * h['ny'] * h['nz']
            # quick and dirty... slurp it all in one go
            datafmt = h['bsaflag']+str(nentries)+self._data_bintype
            a = numpy.array(unpack(datafmt, plt.read(calcsize(datafmt))))
        self.header['filename'] = self.filename
        self.array = a.reshape(h['nz'], h['ny'], h['nx']).transpose()  # unpack plt in reverse!!
        self.delta = self._delta()
        self.origin = numpy.array([h['xmin'], h['ymin'], h['zmin']]) + 0.5*numpy.diagonal(self.delta)
        self.rank = h['rank']
def read(self, filename):
        """Populate the instance from the plt file *filename*."""
        from struct import calcsize, unpack
        if not filename is None:
            self.filename = filename
        with open(self.filename, 'rb') as plt:
            h = self.header = self._read_header(plt)
            nentries = h['nx'] * h['ny'] * h['nz']
            # quick and dirty... slurp it all in one go
            datafmt = h['bsaflag']+str(nentries)+self._data_bintype
            a = numpy.array(unpack(datafmt, plt.read(calcsize(datafmt))))
        self.header['filename'] = self.filename
        self.array = a.reshape(h['nz'], h['ny'], h['nx']).transpose()  # unpack plt in reverse!!
        self.delta = self._delta()
        self.origin = numpy.array([h['xmin'], h['ymin'], h['zmin']]) + 0.5*numpy.diagonal(self.delta)
        self.rank = h['rank']
def read ( self , filename ) : from struct import calcsize , unpack if not filename is None : self . filename = filename with open ( self . filename , 'rb' ) as plt : h = self . header = self . _read_header ( plt ) nentries = h [ 'nx' ] * h [ 'ny' ] * h [ 'nz' ] # quick and dirty... slurp it all in one go datafmt = h [ 'bsaflag' ] + str ( nentries ) + self . _data_bintype a = numpy . array ( unpack ( datafmt , plt . read ( calcsize ( datafmt ) ) ) ) self . header [ 'filename' ] = self . filename self . array = a . reshape ( h [ 'nz' ] , h [ 'ny' ] , h [ 'nx' ] ) . transpose ( ) # unpack plt in reverse!! self . delta = self . _delta ( ) self . origin = numpy . array ( [ h [ 'xmin' ] , h [ 'ymin' ] , h [ 'zmin' ] ] ) + 0.5 * numpy . diagonal ( self . delta ) self . rank = h [ 'rank' ]
Populate the instance from the plt file *filename*.
Populate the instance from the plt file * filename * .