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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 enrichment_from_msp(dfmsp, modification="Phospho (STY)"):
 """ Calculate relative enrichment of peptide modifications from modificationSpecificPeptides.txt. Taking a modifiedsitepeptides ``DataFrame`` returns the relative enrichment of the specified modification in the table. The returned data columns are generated from the input data columns. :param df: Pandas ``DataFrame`` of modificationSpecificPeptides :return: Pandas ``DataFrame`` of percentage modifications in the supplied data. """


    dfmsp['Modifications'] = np.array([modification in m for m in dfmsp['Modifications']])
    dfmsp = dfmsp.set_index(['Modifications'])
    dfmsp = dfmsp.filter(regex='Intensity ')

    dfmsp[ dfmsp == 0] = np.nan
    df_r = dfmsp.sum(axis=0, level=0)

    modified = df_r.loc[True].values
    total = df_r.sum(axis=0).values
    enrichment = modified / total

    return pd.DataFrame([enrichment], columns=dfmsp.columns, index=['% Enrichment'])