When working with nested lists, it often becomes necessary to convert each element to a different data type. One common scenario is converting strings to floats. Instead of using nested loops, list comprehensions provide a concise and efficient solution.
To convert each element in a nested list to a float, a nested list comprehension can be used:
[[float(y) for y in x] for x in l]
This expression loops through each sublist x in the main list l and creates a new sublist containing floats converted from the strings in x. The resulting list will be of the same structure as the original list, but with floats instead of strings.
If a single flattened list is desired, the loop order can be reversed:
[float(y) for x in l for y in x]
In this case, y iterates through all elements in all sublists, while x iterates through the sublists themselves. The result is a single list containing all floats derived from the nested list.
Consider the following nested list:
l = [['40', '20', '10', '30'], ['20', '20', '20', '20', '20', '30', '20'], ['30', '20', '30', '50', '10', '30', '20', '20', '20'], ['100', '100'], ['100', '100', '100', '100', '100'], ['100', '100', '100', '100']]
Using the nested list comprehension, the result would be:
[[40.0, 20.0, 10.0, 30.0], [20.0, 20.0, 20.0, 20.0, 20.0, 30.0, 20.0], [30.0, 20.0, 30.0, 50.0, 10.0, 30.0, 20.0, 20.0, 20.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 100.0]]
Using the flattened list comprehension, the result would be:
[40.0, 20.0, 10.0, 30.0, 20.0, 20.0, 20.0, 20.0, 20.0, 30.0, 20.0, 30.0, 20.0, 30.0, 50.0, 10.0, 30.0, 20.0, 20.0, 20.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]
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