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)]
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)]
[(a, b, c) for a, (b, c) in l]
Tuple packing and unpacking solves the problem.
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.
You can get the result in this way
>> example = [(50, (2.7387451803816479e-13, 219))]
>>> [tuple(x[:1]) + (x[1]) for x in example]
[(50, 2.738745180381648e-13, 219)]
A Python 2.7 compatible way to do what Mitch suggests for Python 3.5.
>>> example = [(50, (2.7387451803816479e-13, 219)),
(100, (3.7387451803816479e-13, 218))]
>>> [(lambda *x: x)(k, *r) for k, r in example]
[(50, 2.738745180381648e-13, 219), (100, 3.7387451803816477e-13, 218)]
The advantage of this method is that you do not have to find a variable name for each value of the internal tuple to flatten like in the accepted answer. If there are two or three items, that's not really an issue, but imagine there are tenths values or more...
Your could use the following function and apply it in a loop to every element in the list.
import type
def flatten(T):
if type(T) != types.TupleType: return (T,)
elif len(T) == 0: return ()
else: return flatten(T[0]) + flatten(T[1:])
How it works:
The nice thing in this solution is:
The code is slightly adapted from following source:
https://mail.python.org/pipermail/tutor/2001-April/005025.html
Hope it helps someone :)