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Python Pandas - Getting values from a specific level in Multiindex
To get values from a specific level in Multiindex, use the multiIndex.get_level_values() method in Pandas.
At first, import the required libraries −
import pandas as pd
Create a multi-index. The names parameter sets the names for the levels in the index
multiIndex = pd.MultiIndex.from_arrays([[5, 10], [15, 20], [25, 30], [35, 40]], names=['a', 'b', 'c', 'd'])
Get value from specific value. Get 0th level value −
print("
Get level value (0th level)...
",multiIndex.get_level_values(0))
Get 1st level value −
print("
Get level value (1st level)...
",multiIndex.get_level_values(1))Example
Following is the code −
import pandas as pd
# Create a multi-index
# The names parameter sets the names for the levels in the index
multiIndex = pd.MultiIndex.from_arrays([[5, 10], [15, 20], [25, 30], [35, 40]],
names=['a', 'b', 'c', 'd'])
print("Multi-index...
",multiIndex)
# get 0th level value
print("
Get level value (0th level)...
",multiIndex.get_level_values(0))
# get 1st level value
print("
Get level value (1st level)...
",multiIndex.get_level_values(1))
# dropping a level from the multiindex
print("
Dropping a level...
",multiIndex.droplevel())Output
This will produce the following output −
Multi-index... MultiIndex([( 5, 15, 25, 35), (10, 20, 30, 40)], names=['a', 'b', 'c', 'd']) Get level value (0th level)... Int64Index([5, 10], dtype='int64', name='a') Get level value (1st level)... Int64Index([15, 20], dtype='int64', name='b') Dropping a level... MultiIndex([(15, 25, 35), (20, 30, 40)], names=['b', 'c', 'd'])
Updated on 14-Oct-2021 08:43:30
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