Filter a dictionary using python list comprehension

Dictionaries are items grouped as key-value pairs enclosed within {}. List comprehension can be used to filter dictionaries.

Output can be keys or values only or both keys and values. Filter conditions can also be applied on both keys and values.
Refer sample below, which has dictionaries of numbers, dates and strings.

from datetime import datetime

numdict = { 1:5, 2:10, 3:20, 4:30, 5:40 }
#Filter numbers from dict
filterednumdict = { key:val for key, val in numdict.items() if key > 3 }
print(filterednumdict)

strdict = { 'n1':'James', 'n2':'Rory', 'n3':'Kevin'}
#Filter names
filteredstrdict = { key:val for key, val in strdict.items() if (val == 'Rory' or val == 'Kevin')}
print(filteredstrdict)

datedict = { 1:'2021/1/2', 2:'2021/1/15', 3:'2022/4/1', 4:'2022/5/2'}
#Convert string dates to datetime object
dtitems = { key:datetime.strptime(val, '%Y/%m/%d') for key, val in datedict.items()}
#Apply filter by month
filtereddates = { key:val for key, val in dtitems.items() if val.month == 1}
#Convert datetime to str dates, if needed
dates2str = { key:datetime.strftime(val, '%Y/%m/%d') for key, val in filtereddates.items()}
print(dates2str)

Output: {4: 30, 5: 40} {'n2': 'Rory', 'n3': 'Kevin'} {1: '2021/01/02', 2: '2021/01/15'}

If dates are in different formats, refer below link.
Filter a list of string dates in different formats

Multi-dimensional dictionaries

Dictionaries are unhashable objects and can't have unhashable objects within it.
So multi-dimensional dictionaries are not possible.
Lists or tuples can be provided as the values of a dictionary item. By applying some additional logic, we can filter those also.

Filter a dictionary using python list comprehension

Multi-dimensional dictionaries