Sometimes we face a problem in which we have a list of strings and there are some garbage/unwanted letters at its prefix or suffix or at the specified position uniformly, i.e this extends to all the strings in the list. Let’s discuss certain ways in which this problem can be solved.
Method #1 : Using list comprehension + list slicing
This task can be performed using list comprehension and list slicing. List slicing can be used to remove the unwanted letters and list comprehension can be used to extend the logic to the entire string.
# Python3 code to demonstrate # Split strings in list # Using list comprehension + list slicing # initializing list test_list = ['Rs.25', 'Rs.100', 'Rs.143', 'Rs.12', 'Rs.4010'] # printing original list print("The original list : " + str(test_list)) # using list comprehension + list slicing # Split strings in list res = [sub[3:] for sub in test_list] # print result print("The list after string slicing : " + str(res)) |
The original list : ['Rs.25', 'Rs.100', 'Rs.143', 'Rs.12', 'Rs.4010'] The list after string slicing : ['25', '100', '143', '12', '4010']
Method #2 : Using map() + slicing + lambda
This particular task can be performed using map function as well. The task of performing the same for each string is handled by lambda function and map function.
# Python3 code to demonstrate # Split strings in list # Using map() + slicing + lambda # initializing list test_list = ['Rs.25', 'Rs.100', 'Rs.143', 'Rs.12', 'Rs.4010'] # printing original list print("The original list : " + str(test_list)) # using map() + slicing + lambda # Split strings in list res = list(map(lambda sub: sub[3:], test_list)) # print result print("The list after string slicing : " + str(res)) |
The original list : ['Rs.25', 'Rs.100', 'Rs.143', 'Rs.12', 'Rs.4010'] The list after string slicing : ['25', '100', '143', '12', '4010']
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