INNER CODE UNIT · Python

remove

brentp/peddy · peddy/cli.py:63

        remove = (df.pedigree_relatedness == -1) & (~df.parent_error) & (~df.sample_duplication_error)
        df = df[~remove]

    if check == "ped_check":
        # makes the plot nicer
        df.sort_values(inplace=True, by=["pedigree_relatedness"])

    return (check, df, background_df) #


def correct_sex_errors(ped_df):
    excl = []
    if not 'sex_error' in ped_df.columns:
        return excl
    if np.any(ped_df['sex_error']):
        try:
            ped_df.pop(u'sex_fixed')
        except KeyError:

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