def load_all_variables(self):
        """Loads all variables from CDF.
        
        Note this routine is called automatically
        upon instantiation.
        
        """

        self.data = {}
        # need to add r variable names
        file_var_names = self.z_variable_info.keys()
        # collect variable information for each
        # organize it neatly for fortran call
        dim_sizes = []
        rec_nums = []
        data_types = []
        names = []
        for i, name in enumerate(file_var_names):
            dim_sizes.extend(self.z_variable_info[name]['dim_sizes'])
            rec_nums.append(self.z_variable_info[name]['rec_num'])
            data_types.append(self.z_variable_info[name]['data_type'])
            names.append(name.ljust(256))
        dim_sizes = np.array(dim_sizes)
        rec_nums = np.array(rec_nums)
        data_types = np.array(data_types)
        # individually load all variables by each data type
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['real4'],
                                   fortran_cdf.get_multi_z_real4)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['float'],
                                   fortran_cdf.get_multi_z_real4)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['real8'],
                                   fortran_cdf.get_multi_z_real8)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['double'],
                                   fortran_cdf.get_multi_z_real8)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['int4'],
                                   fortran_cdf.get_multi_z_int4)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['uint4'],
                                   fortran_cdf.get_multi_z_int4,
                                   data_offset=2 ** 32)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['int2'],
                                   fortran_cdf.get_multi_z_int2)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['uint2'],
                                   fortran_cdf.get_multi_z_int2,
                                   data_offset=2 ** 16)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['int1'],
                                   fortran_cdf.get_multi_z_int1)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['uint1'],
                                   fortran_cdf.get_multi_z_int1,
                                   data_offset=2 ** 8)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['byte'],
                                   fortran_cdf.get_multi_z_int1)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['epoch'],
                                   fortran_cdf.get_multi_z_real8,
                                   epoch=True)
        self._call_multi_fortran_z(names, data_types, rec_nums, 2 * dim_sizes,
                                   self.cdf_data_types['epoch16'],
                                   fortran_cdf.get_multi_z_epoch16,
                                   epoch16=True)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['TT2000'],
                                   fortran_cdf.get_multi_z_tt2000,
                                   epoch=True)
        # mark data has been loaded
        self.data_loaded = True
def load_all_variables(self):
        """Loads all variables from CDF.
        
        Note this routine is called automatically
        upon instantiation.
        
        """

        self.data = {}
        # need to add r variable names
        file_var_names = self.z_variable_info.keys()
        # collect variable information for each
        # organize it neatly for fortran call
        dim_sizes = []
        rec_nums = []
        data_types = []
        names = []
        for i, name in enumerate(file_var_names):
            dim_sizes.extend(self.z_variable_info[name]['dim_sizes'])
            rec_nums.append(self.z_variable_info[name]['rec_num'])
            data_types.append(self.z_variable_info[name]['data_type'])
            names.append(name.ljust(256))
        dim_sizes = np.array(dim_sizes)
        rec_nums = np.array(rec_nums)
        data_types = np.array(data_types)
        # individually load all variables by each data type
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['real4'],
                                   fortran_cdf.get_multi_z_real4)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['float'],
                                   fortran_cdf.get_multi_z_real4)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['real8'],
                                   fortran_cdf.get_multi_z_real8)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['double'],
                                   fortran_cdf.get_multi_z_real8)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['int4'],
                                   fortran_cdf.get_multi_z_int4)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['uint4'],
                                   fortran_cdf.get_multi_z_int4,
                                   data_offset=2 ** 32)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['int2'],
                                   fortran_cdf.get_multi_z_int2)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['uint2'],
                                   fortran_cdf.get_multi_z_int2,
                                   data_offset=2 ** 16)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['int1'],
                                   fortran_cdf.get_multi_z_int1)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['uint1'],
                                   fortran_cdf.get_multi_z_int1,
                                   data_offset=2 ** 8)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['byte'],
                                   fortran_cdf.get_multi_z_int1)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['epoch'],
                                   fortran_cdf.get_multi_z_real8,
                                   epoch=True)
        self._call_multi_fortran_z(names, data_types, rec_nums, 2 * dim_sizes,
                                   self.cdf_data_types['epoch16'],
                                   fortran_cdf.get_multi_z_epoch16,
                                   epoch16=True)
        self._call_multi_fortran_z(names, data_types, rec_nums, dim_sizes,
                                   self.cdf_data_types['TT2000'],
                                   fortran_cdf.get_multi_z_tt2000,
                                   epoch=True)
        # mark data has been loaded
        self.data_loaded = True
def load_all_variables ( self ) : self . data = { } # need to add r variable names file_var_names = self . z_variable_info . keys ( ) # collect variable information for each # organize it neatly for fortran call dim_sizes = [ ] rec_nums = [ ] data_types = [ ] names = [ ] for i , name in enumerate ( file_var_names ) : dim_sizes . extend ( self . z_variable_info [ name ] [ 'dim_sizes' ] ) rec_nums . append ( self . z_variable_info [ name ] [ 'rec_num' ] ) data_types . append ( self . z_variable_info [ name ] [ 'data_type' ] ) names . append ( name . ljust ( 256 ) ) dim_sizes = np . array ( dim_sizes ) rec_nums = np . array ( rec_nums ) data_types = np . array ( data_types ) # individually load all variables by each data type self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'real4' ] , fortran_cdf . get_multi_z_real4 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'float' ] , fortran_cdf . get_multi_z_real4 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'real8' ] , fortran_cdf . get_multi_z_real8 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'double' ] , fortran_cdf . get_multi_z_real8 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'int4' ] , fortran_cdf . get_multi_z_int4 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'uint4' ] , fortran_cdf . get_multi_z_int4 , data_offset = 2 ** 32 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'int2' ] , fortran_cdf . get_multi_z_int2 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'uint2' ] , fortran_cdf . get_multi_z_int2 , data_offset = 2 ** 16 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'int1' ] , fortran_cdf . get_multi_z_int1 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'uint1' ] , fortran_cdf . get_multi_z_int1 , data_offset = 2 ** 8 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'byte' ] , fortran_cdf . get_multi_z_int1 ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'epoch' ] , fortran_cdf . get_multi_z_real8 , epoch = True ) self . _call_multi_fortran_z ( names , data_types , rec_nums , 2 * dim_sizes , self . cdf_data_types [ 'epoch16' ] , fortran_cdf . get_multi_z_epoch16 , epoch16 = True ) self . _call_multi_fortran_z ( names , data_types , rec_nums , dim_sizes , self . cdf_data_types [ 'TT2000' ] , fortran_cdf . get_multi_z_tt2000 , epoch = True ) # mark data has been loaded self . data_loaded = True
Loads all variables from CDF.
        
        Note this routine is called automatically
        upon instantiation.
Loads all variables from CDF . Note this routine is called automatically upon instantiation .