Correct the code to correctly output the dataframe with this data: gdpdiff = pd.DataFrame({'Top1': df19[['Country or region', 'GDP per capita']]\ .sort_values(by='GDP per capita', ascending=False).head(20)[0:1], 'Top20': df19[['Country or region', 'GDP per capita']]\ .sort_values(by='GDP per capita', ascending=False).head(20)[19:20]}) gdpdiff

def compare_gdp_and_happiness(df1, df2):
    df_merge = df1.merge(df2, how='inner', left_on='Country or region', right_on='entity')
    df_merge  = df_merge[['Country or region', 'GDP per capita', 'happinessScore']]
    df_merge['GDP per capita'] = df_merge['GDP per capita'].apply(pd.to_numeric)
    df_merge['happinessScore'] = df_merge['happinessScore'].apply(pd.to_numeric)
    df_merge_sort = df_merge.sort_values(by='happinessScore', ascending=False)
    #df_merge_sort
    df_merge_top_1 = df_merge_sort.head(20)[0:1]
    df_merge_top_1.rename(columns={'Country or region': 'Top1', 'GDP per capita': 'Top1 GDP', 'happinessScore