I've got the follow dataframe
import pandas as pd
df = pd.DataFrame({'Year': ['2012','2012','2012','2012','2012','2012','2012','2012','2012','2013', '2013','2013','2013','2013','2013','2013','2013','2013','2013'],
'Product':['X','X','X','Y','Z','W','X','X','X','Y','Z','W','Z','Z','W','Y','X','Z', 'Y'],
'Country':['A','B','C','D','A','B','C','D','A','B','C','D','A','B','C','D','A','B', 'A'],
'Units':[44,55,42,57,95,54,27,55,81,54,65,23,89,76,34,12,1,67,8],
})
# Pivot table to group by Country and Product
myPivot1 = pd.pivot_table(df,
values = ['Units'], index=['Country', 'Product'],
aggfunc=np.sum)
print(myPivot1)
and I'd like to sort the pivot table 'MyPivot1' in this way (sorted the 'Units' for each 'Country')
Units
Country Product
A Z 184
X 126
Y 8
B Z 143
X 55
W 54
Y 54
C X 69
Z 65
W 34
D Y 69
X 55
W 23
I tried this piece of code to sort 'Units':
myPivot2 = myPivot1.sort_values(('Units'), ascending=False)
print(myPivot2)
Units
Country Product
A Z 184
B Z 143
A X 126
C X 69
D Y 69
C Z 65
B X 55
D X 55
B W 54
Y 54
C W 34
D W 23
A Y 8
But, obviously, it sorts all the records, regardless if they are grouped by country.