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Python | Pandas MultiIndex.from_arrays()

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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_arrays() function is used to convert arrays into MultiIndex. It is one of the several ways in which we construct a MultiIndex.

Syntax: MultiIndex.from_arrays(arrays, sortorder=None, names=None)

Parameters :
arrays : Each array-like gives one level’s value for each data point. len(arrays) is the number of levels
sortorder : Level of sortedness (must be lexicographically sorted by that level)

Returns: index : MultiIndex

Example #1: Use MultiIndex.from_arrays() function to construct a MultiIndex from arrays.




# importing pandas as pd
import pandas as pd
  
# Creating the array
array =[[1, 2, 3], ['Sharon', 'Nick', 'Bailey']]
  
# Print the array
print(array)

Output :

Now let’s create the MultiIndex using this array




# Creating the MultiIndex
midx = pd.MultiIndex.from_arrays(array,
            names =('Number', 'Names'))
  
# Print the MultiIndex
print(midx)

Output :

As we can see in the output, the function has created a MultiIndex object using the arrays.
 
Example #2: Use MultiIndex.from_arrays() function to construct a MultiIndex from arrays.




# importing pandas as pd
import pandas as pd
  
# Creating the array
array =[[1, 2, 3], ['Sharon', 'Nick', 'Bailey'], 
          ['Doctor', 'Scientist', 'Physicist']]
  
# Print the array
print(array)

Output :

Now let’s create the MultiIndex using this array




# Creating the MultiIndex
midx = pd.MultiIndex.from_arrays(array, 
   names =('Ranking', 'Names', 'Profession'))
  
# Print the MultiIndex
print(midx)

Output :

As we can see in the output, the function has created a MultiIndex using the passed arrays.


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