Updating multi-dimensional tuples using python list comprehension

Two-dimensional tuple

Below sample has a tuple that contains multiple book details. Each of these is stored as a tuple with book id, book name and the price. We will try adding a new field tax to each item and calculate it as 5% of price. Also add this amount to the existing price column.
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from datetime import datetime books = ( (1, 'Book 1', 100.50), (2, 'Book 2', 80.75), (3, 'Book 3', 50.00) ) #Find new price after adding tax newPrice = ( ( b[0], b[1], round(float(b[2] / 10),2), round(b[2] + float(b[2] / 20),2) ) for b in books) print(tuple(newPrice))
Output:
```
(
	(1, 'Book 1', 10.05, 105.53),
	(2, 'Book 2', 8.07, 84.79),
	(3, 'Book 3', 5.0, 52.5)
)
```

Three-dimensional tuple

This sample has an additional level, with average prices across locations.
See below how we can update a tuple with three levels.

from datetime import datetime

books = (
    (1, 'Book 1', 
        (100, 90, 80)),
    (2, 'Book 2', 
        (75, 70, 80)),
    (3, 'Book 3', 
        (50, 55, 55)),
)

#Find average price
newPrice = ( ( b[0], b[1], round((b[2][0] + b[2][1] + b[2][2])/3) )  for b in books)
print(tuple(newPrice))

#Find average price and also keep third level
newPrice = ( ( b[0], b[1], round((b[2][0] + b[2][1] + b[2][2])/3), b[2] )  for b in books)
print(tuple(newPrice))

Outputs:

(
	(1, 'Book 1', 90),
	(2, 'Book 2', 75),
	(3, 'Book 3', 53)
)

(
	(1, 'Book 1', 90, (100, 90, 80)),
	(2, 'Book 2', 75, (75, 70, 80)),
	(3, 'Book 3', 53, (50, 55, 55))
)

Updating multi-dimensional tuples using python list comprehension

Two-dimensional tuple

Three-dimensional tuple