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Add Deduplicate A List Into A Tuple as a Python TIL
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@@ -10,7 +10,7 @@ working across different projects via [VisualMode](https://www.visualmode.dev/).
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For a steady stream of TILs, [sign up for my newsletter](https://visualmode.kit.com/newsletter).
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_1761 TILs and counting..._
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_1762 TILs and counting..._
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See some of the other learning resources I work on:
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@@ -1048,6 +1048,7 @@ If you've learned something here, support my efforts writing daily TILs by
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- [Control Passing Of Time In Tests](python/control-passing-of-time-in-tests.md)
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- [Create A Dummy DataFrame In Pandas](python/create-a-dummy-dataframe-in-pandas.md)
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- [Create A Range Of Descending Values](python/create-a-range-of-descending-values.md)
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- [Deduplicate A List Into A Tuple](python/deduplicate-a-list-into-a-tuple.md)
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- [Dunder Methods](python/dunder-methods.md)
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- [Easy Key-Value Aggregates With defaultdict](python/easy-key-value-aggregates-with-defaultdict.md)
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- [Install With PIP For Specific Interpreter](python/install-with-pip-for-specific-interpreter.md)
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@@ -0,0 +1,46 @@
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# Deduplicate A List Into A Tuple
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A `list` is not hashable which means you can't use it for things like `dict`
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keys or cache keys. Instead you need to convert it into something like a `set`
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or a `tuple`.
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Here is an example list:
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```python
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>>> l1 = [3,4,1,2,5,4,1]
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```
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Turning this list into a `set` or `frozenset` is straightforward:
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```python
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>>> set(l1)
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{1, 2, 3, 4, 5}
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>>> frozenset(l1)
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frozenset({1, 2, 3, 4, 5})
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```
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If you're trying to preserve the order after deduplicating, then you'll want to
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use a `tuple` instead of a `set`. In order to deduplicate while maintaining the
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ordering, you can exploit the fact that `dict` keys maintain their order. A
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`list` can be transformed into the keys of a `dict` with
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[`dict.fromkeys`](https://docs.python.org/3/library/stdtypes.html#dict.fromkeys):
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```python
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>>> dict.fromkeys(l1)
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{3: None, 4: None, 1: None, 2: None, 5: None}
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```
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And here is your `tuple` which extracts the keys of the `dict`:
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```python
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>>> tuple(dict.fromkeys(l1))
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(3, 4, 1, 2, 5)
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```
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By comparison, here is the `tuple` transformed directly from the `list` without
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deduplication.
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```python
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>>> tuple(l1)
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(3, 4, 1, 2, 5, 4, 1)
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```
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