utils.py 文件源码

def table_convert(fmt="csv"):
    """Convert the SC data into different formats.

    To make available for download.
    """
    # others netcdf, fits?
    # https://pandas.pydata.org/pandas-docs/stable/io.html
    if fmt not in ['tsv', 'csv', 'hdf']:
        raise NotImplementedError("Conversion format to {} not available.".format(fmt))
    name = "data/sweet-cat.{}".format(fmt)
    if fmt is "tsv":  # This is the standard
        pass
    else:
        df = pd.read_table('data/sweet-cat.tsv')
        if fmt == "hdf":
            df.to_hdf(name, key="sweetcat", mode="w", format='table')
        elif fmt == "csv":
            df.to_csv(name, sep=",", index=False)