Filter a set using python list comprehension

Python Sets are a group of items provided within {}. Below sample shows how to use list comprehension to filter from a python set. Here we have implemented filter of a set of numbers, dates and strings.

from datetime import datetime

numset = {5, 10, 20, 30, 40}
#Filter numbers from set
filterednumset = {num for num in numset if num > 15}
print("Filtered set of numbers: " + str(filterednumset))

strset = {'James', 'Rory', 'Kevin'}
#Filter name Rory and Kevin
filteredstrset = {st for st in strset if (st == 'Rory' or st == 'Kevin')}
print("Filtered set of names: " + str(filteredstrset))

dateset = {'2021/1/2', '2021/1/15', '2022/4/1', '2022/5/2'}
#Convert string dates to datetime objects
dtset = {datetime.strptime(dt, '%Y/%m/%d') for dt in dateset}
#Apply filter by month
filtereddateset = {dt for dt in dtset if dt.month == 1}
#Convert datetime to str dates, if needed
dateslist2str = {datetime.strftime(dt1, '%Y/%m/%d')  for dt1 in filtereddateset}
print("Filtered dates set: " + str(dateslist2str))

Output: Filtered set of numbers: {40, 20, 30} Names Filtered set of names: {'Kevin', 'Rory'} Filtered dates set: {'2021/01/02', '2021/01/15'}

If you have dates in different string formats, refer below link to know how to convert.
Filter a list of string dates in different formats

Multi-dimensional sets

A Python Set is an unhashable object.
Sets are not allowed an unhashable object within it.
So a set within a set is not a possibility.
We can have sets within a list, but it is not possible to apply list comprehension on those.

Filter a set using python list comprehension

Multi-dimensional sets