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I have the following element of a list, and the list is 100 elements long.
[(50, (2.7387451803816479e-13, 219))] How do I convert each element to look like this?
[(50, 2.7387451803816479e-13, 219)] 
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One method to flatten tuples of a list is by using the sum() method with empty lust which will return all elements of the tuple as individual values in the list. Then we will convert it into a tuple. Method 2: Another method is using a method from Python's itertools library.
Flattening Nested Tuples To solve the problem is by finding all the nested tuples in each tuple element of the container. And then flatten it to a normal tuple with all elements of the nested as individual elements.
Python uses a special syntax to pass optional arguments (*args) for tuple unpacking. This means that there can be many number of arguments in place of (*args) in python. All values will be assigned to every variable on the left-hand side and all remaining values will be assigned to *args .
Flattening a list of lists entails converting a 2D list into a 1D list by un-nesting each list item stored in the list of lists - i.e., converting [[1, 2, 3], [4, 5, 6], [7, 8, 9]] into [1, 2, 3, 4, 5, 6, 7, 8, 9] .
[(a, b, c) for a, (b, c) in l] Tuple packing and unpacking solves the problem.
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New in Python 3.5 with the additional tuple unpacking introduced in PEP 448, you can use starred expressions in tuple literals such that you can use
>>> l = [(50, (2.7387451803816479e-13, 219)), (40, (3.4587451803816479e-13, 220))] >>> [(a, *rest) for a, rest in l] [(50, 2.738745180381648e-13, 219), (40, 3.458745180381648e-13, 220)] This could be useful if you had a nested tuple used for record-keeping with many elements that you wanted to flatten.
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