Since Python 3.7, dicts keep insertion order. So if you want to order a set but still want to be able to do membership checks in constant time, you can create a dictionary from the sorted list …

Use list.sort() when you want to mutate the list, sorted() when you want a new sorted object back. Use sorted() when you want to sort something that is an iterable, not a list yet. For lists, …

Here I would use the variable name "keyfun" instead of "cmpfun" to avoid confusion. The sort () method does accept a comparison function through the cmp= argument as well.

Jan 23, 2013 · If your list is a mixture of date and datetimes, you can normalize them all into datetime objects, and then sort; again, as a key so that the type of the items in the original list …

Python has a stable sort, so provided that performance isn't an issue the simplest way is to sort it by field 2 and then sort it again by field 1. That will give you the result you want, the only catch …

I want to group my dataframe by two columns and then sort the aggregated results within those groups. In [167]: df Out[167]: count job source 0 2 sales A 1 4 sales B...

Python has two kinds of sorts: a sort method (or "member function") and a sort function. The sort method operates on the contents of the object named -- think of it as an action that the object …

Nov 20, 2010 · Here's one way: You basically re-write your sort function to take a list of sort functions, each sort function compares the attributes you want to test, on each sort test, you …

10 If you specify sort_keys=False then Python will simply print the items in whatever order they appear in the underlying Python dict object. In some cases this may happen to be the same as …

Sort ascending vs. descending. Specify list for multiple sort orders. If this is a list of bools, must match the length of the by. As the default is ascending, and OP's goal is to sort ascending, …