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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 x_y_by_col_lbl_inplace(df, y_col_lbl):
 """Breaks the given dataframe into an X frame and a y series by the given column name. The original frame is returned, without the y series column, as the X frame, so no new dataframes are created. Parameters df : pandas.DataFrame The dataframe to split. y_col_lbl : object The label of the y column. Returns ------- X, y : pandas.DataFrame, pandas.Series A dataframe made up of all columns but the column with the given name and a series made up of the same column, respectively. Example ------- Age Name 1 23 Jo 2 19 Mi 1 4 2 3 Name: D, dtype: int64 """

    y = df[y_col_lbl]
    df.drop(
        labels=y_col_lbl,
        axis=1,
        inplace=True,
    )
    return df, y