Python Pandas slice multiindex by second level index (or any other level)
Use an indexer to slice arbitrary values in arbitrary dimensions--just pass a list with whatever the desired levels / values are for that dimension.
idx = pd.IndexSlicedf.loc[idx[:,[3,4]],:] Title ScoreFirst Rank A 3 lime 80 4 lame 70B 3 lame 200 4 dime 100For reproducing the data:
from io import StringIOs="""First Rank Title ScoreA 1 foo 100A 2 bar 90A 3 lime 80A 4 lame 70B 1 foo 400B 2 lime 300B 3 lame 200B 4 dime 100"""df = pd.read_csv(StringIO(s), sep='\s+', index_col=["First", "Rank"])
Another way to slice by 2nd (sub) level in a multi level index is to Use slice(None) with .loc[]. Using slice(None) for a level indicates that particular index is not being sliced, then pass a single item or list for the index that is being sliced. Hope it helps future readers
df.loc[ ( slice(None), [3, 4] ), : ]