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Python | Pandas MultiIndex.swaplevel()
  • Last Updated : 24 Dec, 2018

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.swaplevel() function is used to swap levels of the MultiIndex. It swap level i with level j. Calling this method does not change the ordering of the values.

Syntax: MultiIndex.swaplevel(i=-2, j=-1)

Parameters :
i : First level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
j : Second level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.

Returns : A new MultiIndex



Example #1: Use MultiIndex.swaplevel() function to swap the 0th level with the 1st level of the MultiIndex.

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# 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)

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Output :

Now let’s swap the 0th level with the 1st level of the MultiIndex.

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# swap the levels
midx.swaplevel(0, 1)

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Output :

As we can see in the output, the function has swapped the 0th level with the 1st level of the MultiIndex.
 
Example #2: Use MultiIndex.swaplevel() function to swap the 0th level with the 1st level of the MultiIndex.

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# importing pandas as pd
import pandas as pd
  
# Create the MultiIndex
midx = pd.MultiIndex.from_arrays([['Beagle', 'Sephard', 'Labrador', 'Retriever'],
                                       [8, 4, 11, 3], ['A1', 'B1', 'A2', 'C1']])
  
# Print the MultiIndex
print(midx)

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Output :

Now let’s swap the 0th level with the 2nd level of the MultiIndex.

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# swap the levels
midx.swaplevel(0, 2)

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Output :

As we can see in the output, the function has swapped the 0th level with the 2nd level of the MultiIndex.

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