Add columns to pivot table with pandas

I have the table as follow:

import pandas as pd
import numpy as np

#simple table
fazenda = [6010,6010,6010,6010]
quadra = [1,1,2,2]
talhao = [1,2,3,4]
arTotal = [32.12,33.13,34.14,35.15]
arCarr = [i/2 for i in arTotal]
arProd = [i/2 for i in arTotal]
varCan = ['RB1','RB2','RB3','RB4']
data = list(zip(fazenda,quadra,talhao,arTotal,arCarr,arProd,varCan))

#Pandas DataFrame
df = pd.DataFrame(data=data,columns=['Fazenda','Quadra','Talhao','ArTotal','ArCarr','ArProd','Variedade'])

#Pivot Table
table = pd.pivot_table(df, values=['ArTotal','ArCarr','ArProd'],index=['Quadra','Talhao'], fill_value=0)

print(table)

resulting in this:

               ArCarr  ArProd  ArTotal
Quadra Talhao                         
1      1       16.060  16.060    32.12
       2       16.565  16.565    33.13
2      3       17.070  17.070    34.14
       4       17.575  17.575    35.15

I need two aditional steps:

1. Add the Subtotal and Grand Total for 'ArTotal', 'ArCarr' e 'ArProd' fields
2. Add 'Variedade' field to table

I tried to add the column but the result was incorrect. Following some links about Total and Grand Total, I did not get the satisfactory result.

I'm having a hard time understanding pandas, I ask for help from more experienced colleagues.