Here is example of my df (for example):
2000-02-01 2000-03-01 ...
sub_col_one sub_col_two sub_col_one sub_col_two ...
idx_one idx_two
2 a 5 2 3 3
0 b 0 5 8 1
2 x 0 0 6 1
0 d 8 3 5 5
3 x 5 6 5 9
2 e 2 5 0 5
3 x 1 7 4 4
The question: How could I get all rows of that df, where idx_two
is not equal to x
?
I've tried get_level_values
, but cant get what I need.
Use Index.get_level_values
with name of level with boolean indexing
:
df1 = df[df.index.get_level_values('idx_two') != 'x']
Or with position of level, here 1
, because python counts from 0
:
df1 = df[df.index.get_level_values(1) != 'x']
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