Reputation: 13
How to rename MultiIndex level = 0 as mentioned in this_df like 'ti'->'ti+1'?
this_df contains normalized weights using ti data for computing weighted sums in ti+1.
this_df = pd.read_csv('http://www.boomboxbooking.de/stackq/data.csv', index_col =[0,1], sep=';')
new_index_level_0 = ['t1','t2','t3']
Upvotes: 1
Views: 81
Reputation: 394099
Use set_levels
on the Index
object to assign new values:
In[72]:
this_df.index = this_df.index.set_levels(['t1','t2','t3'], 0)
this_df
Out[72]:
earnings costs
Unnamed: 1
t1 S1 0.50 0.50
S2 0.50 0.50
t2 S1 0.20 0.09
S2 0.80 0.91
t3 S1 0.43 0.20
S2 0.57 0.80
Upvotes: 1