Method # 1: Using List Comprehension + List Slicing
This task can be accomplished using List Comprehension and List Slicing. A list of lists can be used to remove unwanted letters, and a list comprehension can be used to extend logic to the entire line.
| # Python3 demo code
# Split lines in the list
# Using a list comprehension + slicing a list
# initializing list test_list = [ ’Rs.25’ , ’Rs.100’ , ’ Rs. 143’ , ’Rs.12’ , ’Rs.4010’ ] < / code>
# print original list print ( "The original list:" + str (test_list))
# use list comprehension + list slicing
# Split lines in list res = [sub [ 3 :] for sub in test_list]
# print result print ( "The list after string slicing:" + str (res)) |
Output:
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 accomplished using the map function. The task of doing the same thing for each row is handled by the lambda and display functions.
| # Python3 demo code
# Split lines in the list
# Using map () + slicing + lambda
# initializing list test_list = [ ’Rs.25’ , ’Rs.100’ , ’ Rs.143’ , ’Rs.12’ , ’ Rs.4010’ ]
# printing the original list print ( "The original list:" + str (test_list))
# using map () + slicing + lambda
# Split lines in the list res = list ( map ( lambda sub: sub [ 3 :], test_list))
# print result print ( "The list after string slicing:" + str (res)) |
Output:
The original list: [’Rs.25’,’ Rs.100’, ’Rs.143’,’ Rs.12’, ’Rs.4010’] The list after string slicing: [’ 25’, ’100 ’,’ 143’, ’12’,’ 4010’]
