Sometimes, while working with Python dictionaries we can have a problem in which we need to perform a population of dictionary values using assigned variables after certain operation among them. This can have application in day-day programming. Let’s discuss certain ways in which this task can be performed.
Method #1 : Using lambda + dictionary comprehension
The combination of above functions can be used to solve this problem. In this, we perform the assignment using dictionary comprehension and values computations using lambda functions.
# Python3 code to demonstrate working of # Variable Operations Dictionary update # Using lambda + dictionary comprehension # helpr functions hlper_fnc = {'Gfg': lambda: x + y, 'best': lambda: x * y} # initializing variables x = 6y = 7 # Variable Operations Dictionary update # Using lambda + dictionary comprehension res = {key: val() for key, val in hlper_fnc.items()} # printing result print("The Initialized dictionary : " + str(res)) |
The Initialized dictionary : {'best': 42, 'Gfg': 13}
Method #2 : Using operators library
This task can also be performed using above functionality. In this, we use inbuilt operations provided by the operator library to achieve this task.
# Python3 code to demonstrate working of # Variable Operations Dictionary update # Using lambda + dictionary comprehension from operator import add, mul # helpr functions hlper_fnc = {'Gfg': add, 'best': mul} # initializing variables x = 6y = 7 # Variable Operations Dictionary update # Using lambda + dictionary comprehension res = {'Gfg' : hlper_fnc['Gfg'](x, y), 'best' : hlper_fnc['best'](x, y)} # printing result print("The Initialized dictionary : " + str(res)) |
The Initialized dictionary : {'best': 42, 'Gfg': 13}
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