Sometimes, while working with huge amount of data, we can have a problem in which we need to extract just specific sized strings above a minimum threshold. This kind of problem can occur during validation cases across many domains. Let’s discuss certain ways to handle this in Python strings list.
Method #1 : Using list comprehension + len()
The combination of above functionalities can be used to perform this task. In this, we iterate for all the strings and return only above threshold strings checked using len().
# Python3 code to demonstrate working of # Filter above Threshold size Strings # using list comprehension + len() # initialize list test_list = ['gfg', 'is', 'best', 'for', 'geeks'] # printing original list print("The original list : " + str(test_list)) # initialize Threshold thres = 4 # Filter above Threshold size Strings # using list comprehension + len() res = [ele for ele in test_list if len(ele) >= thres] # printing result print("The above Threshold size strings are : " + str(res)) |
The original list : ['gfg', 'is', 'best', 'for', 'geeks'] The above Threshold size strings are : ['best', 'geeks']
Method #2 : Using filter() + lambda
The combination of above functionalities can be used to perform this task. In this, we extract the elements using filter() and logic is compiled in a lambda function.
# Python3 code to demonstrate working of # Filter above Threshold size Strings # using filter() + lambda # initialize list test_list = ['gfg', 'is', 'best', 'for', 'geeks'] # printing original list print("The original list : " + str(test_list)) # initialize Threshold thres = 4 # Filter above Threshold size Strings # using filter() + lambda res = list(filter(lambda ele: len(ele) >= thres, test_list)) # printing result print("The above Threshold size strings are : " + str(res)) |
The original list : ['gfg', 'is', 'best', 'for', 'geeks'] The above Threshold size strings are : ['best', 'geeks']
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