views_df = (
    control_views.rename(index=str, columns={'views': 'control'})
).join([
    experiment_views.rename(index=str, columns={'views': 'experiment'}),
    predicted_views.rename(index=str, columns={'views': 'predicted'}),
]).dropna()

serves_df = (
    control_matches.rename(index=str, columns={'matches': 'control'})
).join([
    experiment_matches.rename(index=str, columns={'matches': 'experiment'}),
    predicted_matches.rename(index=str, columns={'matches': 'predicted'}),
]).dropna()


viewability = (views_df / serves_df).dropna()
print viewability