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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 parse_csv_labels(fn, skip_header=True, cat_separator = ' '):
 """Parse filenames and label sets from a CSV file. This method expects that the csv file at path :fn: has two columns. If it has a header, :skip_header: should be set to True. The labels in the label set are expected to be space separated. Arguments: fn: Path to a CSV file. skip_header: A boolean flag indicating whether to skip the header. Returns: a two-tuple of ( image filenames, a dictionary of filenames and corresponding labels ) . :param cat_separator: the separator for the categories column """

    df = pd.read_csv(fn, index_col=0, header=0 if skip_header else None, dtype=str)
    fnames = df.index.values
    df.iloc[:,0] = df.iloc[:,0].str.split(cat_separator)
    return fnames, list(df.to_dict().values())[0]