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Python | Pandas MultiIndex.from_tuples()

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  • 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.from_tuples() function is used to convert list of tuples to MultiIndex. It is one of the several ways in which we construct a MultiIndex.

Syntax: MultiIndex.from_tuples(tuples, sortorder=None, names=None)

Parameters :
tuples : Each tuple is the index of one row/column.
sortorder : Level of sortedness (must be lexicographically sorted by that level)

Returns: index : MultiIndex

Example #1: Use MultiIndex.from_tuples() function to construct a MultiIndex using python tuples.




# importing pandas as pd
import pandas as pd
  
# Creating the Tuple
tuples =[(30, 'Larry'), (20, 'Mike'),
         (18, 'David'), (25, 'Tim')]
  
# Print the Tuple
print(tuples)

Output :

Now let’s create the MultiIndex using the Tuples.




# Creating the MultiIndex
midx = pd.MultiIndex.from_tuples(tuples, names =('Age', 'Name'))
  
# Print the MultiIndex
print(midx)

Output :

As we can see in the output, the function has created a MultiIndex object using the Tuples.
 
Example #2: Use MultiIndex.from_tuples() function to construct a MultiIndex using python tuples.




# importing pandas as pd
import pandas as pd
  
# Creating the Tuple
tuples =[('Physics', 85), ('Chemistry', 88),
           ('Maths', 95), ('Computers', 99)]
  
# Print the Tuple
print(tuples)

Output :

Now let’s create the MultiIndex using the Tuples.




# Creating the MultiIndex
midx = pd.MultiIndex.from_tuples(tuples, names =('Subject', 'Marks'))
  
# Print the MultiIndex
print(midx)

Output :


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