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 :
