Write code that will correctly compare two different dataframes (excluding NaN and string values): p['Speed']] boosted_p['Speed'] using the stats.f_oneway method in Python

def anova(df):
    cat = df.select_dtypes(include=['object']).columns
    num = df.select_dtypes(include=['float64']).columns
    num = num.drop('Time')
    all_columns = num
    f, p = stats.f_oneway(df[all_columns].values)
    return f, p