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Python | Pandas MultiIndex.set_labels()
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Python | Pandas MultiIndex.droplevel()

Last Updated : 24 Dec, 2018
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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.

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Python | Pandas MultiIndex.set_labels()

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Shubham__Ranjan
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Article Tags :
  • Technical Scripter
  • Python
  • Python-pandas
  • Python pandas-multiIndex
Practice Tags :
  • python

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