Reputation: 171
I have a dataframe (df_final) with 2 indexes (Mineral and Year).
Developed Countries ... Transition Countries
Mineral Year ...
Iron Fe 2014-01-01 543730900 ... 119680450
2015-01-01 580394662 ... 113540570
2016-01-01 608537133 ... 108977300
2017-01-01 632252158 ... 109270430
2018-01-01 648117225 ... 110999150
Chromium CrO 2014-01-01 451819 ... 2669000
2015-01-01 457100 ... 2502900
2016-01-01 469140 ... 2493000
2017-01-01 416285 ... 2740200
2018-01-01 509424 ... 3078100
Cobalt 2014-01-01 15383 ... 5400
2015-01-01 16298 ... 5800
2016-01-01 15281 ... 5600
2017-01-01 14032 ... 4700
2018-01-01 12353 ... 5330
Data gets returned perfectly fine with this query:
df_final.loc['Gold','2014']
However, I get a
KeyError: '2014'
with this query:
df_final.loc[:,'2014']
Any ideas?
Upvotes: 0
Views: 207
Reputation: 2939
you can use this to get all Mineral
with Year
= '2014'
:
df_final.loc[(df_final.index.levels[0], '2014'), :]
Upvotes: 1