pysatCDF/_cdf.py
def _read_all_z_variable_info(self):
        """Gets all CDF z-variable information, not data though.

        Maps to calls using var_inquire. Gets information on
        data type, number of elements, number of dimensions, etc.

        """

        self.z_variable_info = {}
        self.z_variable_names_by_num = {}

        # call Fortran that grabs all of the basic stats on all of the
        # zVariables in one go.
        info = fortran_cdf.z_var_all_inquire(self.fname, self._num_z_vars,
                                             len(self.fname))
        status = info[0]
        data_types = info[1]
        num_elems = info[2]
        rec_varys = info[3]
        dim_varys = info[4]
        num_dims = info[5]
        dim_sizes = info[6]
        rec_nums = info[7]
        var_nums = info[8]
        var_names = info[9]

        if status == 0:
            for i in np.arange(len(data_types)):
                out = {}
                out['data_type'] = data_types[i]
                out['num_elems'] = num_elems[i]
                out['rec_vary'] = rec_varys[i]
                out['dim_varys'] = dim_varys[i]
                out['num_dims'] = num_dims[i]
                # only looking at first possible extra dimension
                out['dim_sizes'] = dim_sizes[i, :1]
                if out['dim_sizes'][0] == 0:
                    out['dim_sizes'][0] += 1
                out['rec_num'] = rec_nums[i]
                out['var_num'] = var_nums[i]
                var_name = ''.join(var_names[i].astype('U'))
                out['var_name'] = var_name.rstrip()
                self.z_variable_info[out['var_name']] = out
                self.z_variable_names_by_num[out['var_num']] = var_name
        else:
            raise IOError(fortran_cdf.statusreporter(status))
def _read_all_z_variable_info(self):
        """Gets all CDF z-variable information, not data though.

        Maps to calls using var_inquire. Gets information on
        data type, number of elements, number of dimensions, etc.

        """

        self.z_variable_info = {}
        self.z_variable_names_by_num = {}

        # call Fortran that grabs all of the basic stats on all of the
        # zVariables in one go.
        info = fortran_cdf.z_var_all_inquire(self.fname, self._num_z_vars,
                                             len(self.fname))
        status = info[0]
        data_types = info[1]
        num_elems = info[2]
        rec_varys = info[3]
        dim_varys = info[4]
        num_dims = info[5]
        dim_sizes = info[6]
        rec_nums = info[7]
        var_nums = info[8]
        var_names = info[9]

        if status == 0:
            for i in np.arange(len(data_types)):
                out = {}
                out['data_type'] = data_types[i]
                out['num_elems'] = num_elems[i]
                out['rec_vary'] = rec_varys[i]
                out['dim_varys'] = dim_varys[i]
                out['num_dims'] = num_dims[i]
                # only looking at first possible extra dimension
                out['dim_sizes'] = dim_sizes[i, :1]
                if out['dim_sizes'][0] == 0:
                    out['dim_sizes'][0] += 1
                out['rec_num'] = rec_nums[i]
                out['var_num'] = var_nums[i]
                var_name = ''.join(var_names[i].astype('U'))
                out['var_name'] = var_name.rstrip()
                self.z_variable_info[out['var_name']] = out
                self.z_variable_names_by_num[out['var_num']] = var_name
        else:
            raise IOError(fortran_cdf.statusreporter(status))
def _read_all_z_variable_info ( self ) : self . z_variable_info = { } self . z_variable_names_by_num = { } # call Fortran that grabs all of the basic stats on all of the # zVariables in one go. info = fortran_cdf . z_var_all_inquire ( self . fname , self . _num_z_vars , len ( self . fname ) ) status = info [ 0 ] data_types = info [ 1 ] num_elems = info [ 2 ] rec_varys = info [ 3 ] dim_varys = info [ 4 ] num_dims = info [ 5 ] dim_sizes = info [ 6 ] rec_nums = info [ 7 ] var_nums = info [ 8 ] var_names = info [ 9 ] if status == 0 : for i in np . arange ( len ( data_types ) ) : out = { } out [ 'data_type' ] = data_types [ i ] out [ 'num_elems' ] = num_elems [ i ] out [ 'rec_vary' ] = rec_varys [ i ] out [ 'dim_varys' ] = dim_varys [ i ] out [ 'num_dims' ] = num_dims [ i ] # only looking at first possible extra dimension out [ 'dim_sizes' ] = dim_sizes [ i , : 1 ] if out [ 'dim_sizes' ] [ 0 ] == 0 : out [ 'dim_sizes' ] [ 0 ] += 1 out [ 'rec_num' ] = rec_nums [ i ] out [ 'var_num' ] = var_nums [ i ] var_name = '' . join ( var_names [ i ] . astype ( 'U' ) ) out [ 'var_name' ] = var_name . rstrip ( ) self . z_variable_info [ out [ 'var_name' ] ] = out self . z_variable_names_by_num [ out [ 'var_num' ] ] = var_name else : raise IOError ( fortran_cdf . statusreporter ( status ) )
Gets all CDF z-variable information, not data though.

        Maps to calls using var_inquire. Gets information on
        data type, number of elements, number of dimensions, etc.
Gets all CDF z - variable information not data though .