Reputation: 5355
Taking inspiration from the data here we have the following Series/Dataframe
df = data.groupby(["Manufacturer","Product Name","Product Launch Data"]).sum("total")
total
Manufacturer Product Name Product Launch Date
Apple iPad 2010-04-03 30
iPod 2001-10-23 34
Samsung Galaxy 2009-04-27 24
Galaxy Tab 2010-09-02 22
How do we sort after total
while still keeping the groups i.e ending up with:
total
Manufacturer Product Name Product Launch Date
Apple iPad 2010-04-03 30
iPod 2001-10-23 34
Samsung Galaxy Tab 2010-09-02 22
Galaxy 2009-04-27 24
Upvotes: 0
Views: 28
Reputation: 862511
In last pandas versions is possible sorting by levels and columns names together, so here working:
df = df.sort_values(['Manufacturer','total'])
print (df)
total
Manufacturer Product Name Product Launch Date
Apple iPad 2010-04-03 30
iPod 2001-10-23 34
Samsung Galaxy Tab 2010-09-02 22
Galaxy 2009-04-27 24
Upvotes: 2