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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def create_polynoms():
 """Create and return poly1d objects. Uses the parameters from Morgan to create poly1d objects for calculations. """

    fname = pr.resource_filename('pyciss', 'data/soliton_prediction_parameters.csv')
    res_df = pd.read_csv(fname)
    polys = {}
    for resorder, row in zip('65 54 43 21'.split(),
                             range(4)):
        p = poly1d([res_df.loc[row, 'Slope (km/yr)'], res_df.loc[row, 'Intercept (km)']])
        polys['janus ' + ':'.join(resorder)] = p
    return polys