def exclude_goalkeepers(data_frame):
    """Remove goalkeepers and return the DataFrame.

    Go through the `data_frame` find all the tuples with the players'
    Position column set to "GK" and remove them. Return the `data_frame`
    with no goalkeeper tuples.

    Parameters
    ----------
    data_frame : pandas.DataFrame
        DataFrame containing FIFA19 data set including goalkeepers.

    Returns
    -------
    data_frame : pandas.DataFrame
        DataFrame containing FIFA19 data set with goalkeepers' tuples
        removed.

    Notes
    -----
    This function can be used when preprocessing the FIFA19 dataset to
    perform Machine Learning as a goalkeeper is a peculiar player  and
    all his properties vary compared to other positions on the field.

    Examples
    --------
    >>> data = pd.read_csv("data.csv")
    >>> print(data[['Name', 'Position']][0:5]) #print first few rows
                    Name Position
    0           L. Messi       RF
    1  Cristiano Ronaldo       ST
    2          Neymar Jr       LW
    3             De Gea       GK
    4       K. De Bruyne      RCM
    >>> data = exclude_goalkeepers(data)
    >>> print(data[['Name', 'Position']][0:5]) #print the same number of rows
                    Name Position
    0           L. Messi       RF
    1  Cristiano Ronaldo       ST
    2          Neymar Jr       LW
    4       K. De Bruyne      RCM
    5          E. Hazard       LF
    """
    goalkeepers = data_frame[data_frame['Position'] == 'GK']
    data_frame.drop(goalkeepers.index, inplace=True)
    return data_frame