I'm working with this dataframe:
import pandas as pd
df = pd.DataFrame([['A', 'one', 105], ['A', 'two', 101], ['A', 'three', 103],
['B','one', 101], ['B','two', 1102], ['B','three', 1050]],
columns=['c1', 'c2', 'c3'])
df = df.set_index(['c1', 'c2'])
df
Which returns
c3
c1 c2
A one 105
two 101
three 103
B one 101
two 1102
three 1050
... and I'd like to sort by column c3, preserving rows and c1 sort, to get this:
c3
c1 c2
A one 105
three 103
two 101
B two 1102
three 1050
one 101
I've not been able to come up with a method that doesn't jumble the c1 sort. In particular, a final df.sort_index()
returns KeyError: 'c1'
IIUC you can do:
out = (df.sort_values(['c3','c1'],ascending=False)
.reindex(df.index.get_level_values(0).unique(),level=0))
c3
c1 c2
A one 105
three 103
two 101
B two 1102
three 1050
one 101