# (Python Example for Beginners)

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```

## Pandas Example – Write a Pandas program to construct a series using the MultiIndex levels as the column and index

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