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Python Pandas - Get location and sliced index for requested label/ level but do not drop the level
To get location and sliced index for requested label/ level in a MultiIndex, use the get_loc_level() method in Pandas. Use the drop_level parameter and set it False to avoid dropping the level.
At first, import the required libraries −
import pandas as pd
MultiIndex is a multi-level, or hierarchical, index object for pandas objects −
multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')],names=['One', 'Two'])Display the MultiIndex −
print("The MultiIndex...\n",multiIndex)
Get the location and sliced index. To avoid dropping a level, we have used the "drop_level" parameter with value "False" −
print("\nGet the location and sliced index (avoid dropping the level)...\n",multiIndex.get_loc_level('r', drop_level=False))Example
Following is the code −
import pandas as pd
# MultiIndex is a multi-level, or hierarchical, index object for pandas objects
multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')],names=['One', 'Two'])
# display the MultiIndex
print("The MultiIndex...\n",multiIndex)
# get the levels in MultiIndex
print("\nThe levels in MultiIndex...\n",multiIndex.levels)
# Get the location and sliced index
# To avoid dropping a level, we have used the "drop_level" parameter with value "False"
print("\nGet the location and sliced index (avoid dropping the level)...\n",multiIndex.get_loc_level('r', drop_level=False))Output
This will produce the following output −
The MultiIndex...
MultiIndex([('p', 's'),
('q', 't'),
('r', 'r'),
('r', 'v'),
('s', 'w'),
('s', 'x')],
names=['One', 'Two'])
The levels in MultiIndex...
[['p', 'q', 'r', 's'], ['r', 's', 't', 'v', 'w', 'x']]
Get the location and sliced index (avoid dropping the level)...
(slice(2, 4, None), MultiIndex([('r', 'r'),('r', 'v')],names=['One', 'Two']))
Updated on: 19-Oct-2021
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