w3resource

Pandas: Construct a series using the MultiIndex levels

Pandas Indexing: Exercise-12 with Solution

Write a Pandas program to construct a series using the MultiIndex levels as the column and index.

Sample Solution:

Python Code :

import pandas as pd 
import numpy as np
sales_arrays = [['sale1', 'sale1', 'sale2', 'sale2', 'sale3', 'sale3', 'sale4', 'sale4'],
          ['city1', 'city2', 'city1', 'city2', 'city1', 'city2', 'city1', 'city2']]
sales_tuples = list(zip(*sales_arrays))
print("Create a MultiIndex:")
sales_index = pd.MultiIndex.from_tuples(sales_tuples, names=['sale', 'city'])
print(sales_tuples)
print("\nConstruct a series using the said MultiIndex levels: ")
s = pd.Series(np.random.randn(8), index = sales_index)
print(s)

Sample Output:

Create a MultiIndex:
[('sale1', 'city1'), ('sale1', 'city2'), ('sale2', 'city1'), ('sale2', 'city2'), ('sale3', 'city1'), ('sale3', 'city2'), ('sale4', 'city1'), ('sale4', 'city2')]

Construct a series using the said MultiIndex levels: 
sale   city 
sale1  city1   -1.533805
       city2   -1.546815
sale2  city1    0.018307
       city2   -0.210834
sale3  city1    0.903430
       city2    1.269479
sale4  city1   -0.550486
       city2    1.738659
dtype: float64

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to check if a specified value exists in single and multiple column index dataframe.

Next: Write a Pandas program to construct a DataFrame using the MultiIndex levels as the column and index.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz



Python: Tips of the Day

Python: Inspect an object in Python

Example:

test_obj = [1, 3, 5, 7]
print( dir(test_obj) )

Output:

['__add__', '__class__', '__contains__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__', 
'__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__',
 '__init_subclass__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', 
'__reduce_ex__', '__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__sizeof__', '__str__', 
'__subclasshook__', 'append', 'clear', 'copy', 'count', 'extend', 'index', 'insert', 'pop', 'remove', 'reverse', 'sort']