scatter_interact

def scatterit(week):
    """
    Filters and plot the dataframe as a scatter plot of teams' defence performance
Args:
    -----
        * week (str): the period to filter on, or "Overall" to display the entire season
Returns:
    --------
        A matplotlib scatter plot
"""
    plot = df.copy()
    if week != 'Overall':
        week_num = int(week.split(' ')[1])
        plot = plot[plot.week == week_num]
        
    defence = plot[plot['passResult'] != 'C'].groupby('defensiveTeam').agg({'passResult': 'count'}) / plot.groupby('defensiveTeam').agg({'passResult': 'count'})
        
    # Plot it (only if there's data to plot)
    if len(plot) > 0:
        fig, ax = plt.subplots(figsize=(15, 15))
        ax.scatter([i+1 for i in range(defence.shape[0])], defence['passResult'].tolist())
        ax.set_ylabel('Unallowed Passes %', size=15)
        ax.set_xticklabels([])
        ax.set_title('Team Defence Performance', size=15)
        for x0, y0, path in zip([i+1 for i in range(defence.shape[0])], defence['passResult'].tolist(), 
                               ['../input/nfl-team-logos/' + file for file in sorted(os.listdir('../input/nfl-team-logos'))]):
            ab = AnnotationBbox(getImage(path), (x0, y0), frameon=False)
            ax.add_artist(ab)
    else:
        print("No data to show for current selection")