#(11)Frequent?Values
df.iloc[:,0].value_counts().iloc[0:5,]

df.iloc[:,0][~np.isin(df.iloc[:,0],?missSet)]
df.iloc[:,0][~np.isin(df.iloc[:,0],?missSet)].value_counts()[0:5,]

json_fre_name?=?{}
json_fre_count?=?{}

def?fill_fre_top_5(x):
????if?len(x)?<=?5:
????????new_array?=?np.full(5,?np.nan)
????????new_array[0:len(x)]?=?x
????????return?new_array

df['ind_var1_0'].value_counts()
len(df['imp_sal_var16_ult1'].value_counts())

for?i,name?in?enumerate(df[['ind_var1_0','imp_sal_var16_ult1']].columns):
????index_name?=?df[name][~np.isin(df[name],?missSet)].value_counts().iloc[0:5,].index.values
????index_name?=?fill_fre_top_5(index_name)
????
????json_fre_name[name]?=?index_name
????
????values_count?=?df[name][~np.isin(df[name],?missSet)].value_counts().iloc[0:5,].values
????values_count?=?fill_fre_top_5(values_count)
????
????json_fre_count[name]?=?values_count

df_fre_name?=?pd.DataFrame(json_fre_name)[df[['ind_var1_0','imp_sal_var16_ult1']].columns].T

df_fre?=?pd.concat([df_fre_name,?df_fre_count],?axis=1)

good?=?np.array([json_fre_name['ind_var1_0'],
????????????????json_fre_count['ind_var1_0'],
????????????????json_fre_name['imp_sal_var16_ult1'],
????????????????json_fre_count['imp_sal_var16_ult1']])
Mindex?=?pd.MultiIndex.from_product([['ind_var1_0','imp_sal_var16_ult1'],['key','nums']])
df_good?=?pd.DataFrame(good,index=Mindex)