Python | Pandas MultiIndex.droplevel()

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas MultiIndex.droplevel() function return Index with requested level removed. If MultiIndex has only 2 levels, the result will be of Index type not MultiIndex..

Syntax: MultiIndex.droplevel(level=0) Parameters : level : int/level name or list thereof Returns : index : Index or MultiIndex

Example #1: Use MultiIndex.droplevel() function to drop the 0th level of the MultiIndex. Python3

# importing pandas as pd
import pandas as pd

# Create the MultiIndex
midx = pd.MultiIndex.from_arrays([['Networking', 'Cryptography', 
                                     'Anthropology', 'Science'], 
                                             [88, 84, 98, 95]])

# Print the MultiIndex
print(midx)

Output : Now let's drop the 0th level of the MultiIndex. Python3

# drop the 0th level.
midx.droplevel(level = 0)

Output : As we can see in the output, the function has dropped the 0th level and returned an Index object.   Example #2: Use MultiIndex.droplevel() function to drop the 1st level of the MultiIndex. Python3

# importing pandas as pd
import pandas as pd

# Create the MultiIndex
midx = pd.MultiIndex.from_arrays([['Networking', 'Cryptography',
                                     'Anthropology', 'Science'],
                                              [88, 84, 98, 95]])

# Print the MultiIndex
print(midx)

Output : Now let's drop the 1st level of the MultiIndex. Python3

# drop the 1st level.
midx.droplevel(level = 1)

Output : As we can see in the output, the function has dropped the 1st level and returned an Index object.