repository.py 文件源码

def nc_to_dataframe(nc_fname,
                    columns=slice(None)):
    """
    Return a pandas data frame containing the information in the
    netCDF file *nc_fname*. Return it and a mapping to the header
    metadata. Use *columns* to select columns (via a list of column
    names).
    """
    root = Dataset(nc_fname)
    data = {}
    data.update({dim: root[dim][:] for dim in root.dimensions if dim != 'time'})
    index = data['time'] = map(fromJ2000, root['time'][:])
    return (PD.DataFrame(data=data, index=index)[columns],
            {x: getattr(root, x) for x in root.ncattrs()})