Replacing List Values Conditionally in Python
When working with lists, it's often necessary to modify their values based on certain conditions. One common task is to replace values with None if a condition evaluates to True.
Solution Using List Comprehension
The most efficient way to do this is through a list comprehension.
<code class="python">new_items = [x if x % 2 else None for x in items]</code>
Here, items is your original list, and x % 2 checks whether the item is even. If true, it replaces the item with None; otherwise, it keeps the original value.
In-place Modification
While it's possible to modify the original list in-place, it's not recommended for efficiency reasons.
<code class="python">for index, item in enumerate(items):
if not (item % 2):
items[index] = None</code>This approach requires iterating over the entire list twice, which can be costly for large lists.
Timing Comparisons
Benchmarking the two approaches shows that list comprehension is significantly faster, particularly for large lists.
Python 3.6.3:
(In-place) 1.06 µs ± 33.7 ns per loop (List comprehension) 891 ns ± 13.6 ns per loop
Python 2.7.6:
(In-place) 1.27 µs per loop (List comprehension) 1.14 µs per loop
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