When it is required to extract the value of key if the key is present in the list as well as the dictionary, a simple iteration and the ‘all’ operator are used.ExampleBelow is a demonstration of the same −my_list = ["Python", "is", "fun", "to", "learn", "and", "teach", 'cool', 'object', 'oriented'] my_dictionary = {"Python" : 2, "fun" : 4, "learn" : 6} K = "Python" print("The value of K is ") print(K) print("The list is : " ) print(my_list) print("The dictionary is : " ) print(my_dictionary) my_result = None if all(K in sub for sub in ... Read More

When it is required to sort the list of dictionary based on the key’s ‘i’th index value, the ‘sorted’ method and the lambda methods are used.ExampleBelow is a demonstration of the same −my_list = [{"Python" : "Best", "to" : "Code"}, {"Python" : "Good", "to" : "Learn"}, {"Python" : "object", "to" : "cool"}, {"Python" : "oriented", "to" : "language"}] print("The list is : " ) print(my_list) K = "Python" print("The value of K is ") print(K) i = 2 print("The value of i is :") print(i) my_result = ... Read More

When it is required to check if the splits in a string are equal, the ‘len’ method, ‘list’ method and the ‘set’ operator are used along with an ‘if’ condition.ExampleBelow is a demonstration of the same −my_string = '96%96%96%96%96%96' print("The string is : " ) print(my_string) my_split_char = "%" print("The character on which the string should be split is :") print(my_split_char) my_result = len(list(set(my_string.split(my_split_char)))) == 1 print("The resultant list is : ") if(my_result == True): print("All the splits are equal") else: print("All the splits are not equal")OutputThe string is ... Read More

When it is required to get the grouped consecutive range of indices of elements in a list, a defaultdict is created. A simple iteration, along with ‘groupby’ method, ‘len’ method, ‘list’ method and the ‘append’ methods are used.ExampleBelow is a demonstration of the same −from itertools import groupby from collections import defaultdict my_list = [63, 12, 84, 91, 52, 39, 25, 27, 20, 11, 0, 9] print("The list is : " ) print(my_list) my_index = 0 my_result = defaultdict(list) for key, sub in groupby(my_list): element = len(list(sub)) my_result[key].append((my_index, my_index + ... Read More

When it is required to split the strings based on the occurrence of the prefix, two empty lists are defined, and a prefix value is defined. A simple iteration is used along with ‘append’ method.ExampleBelow is a demonstration of the same −from itertools import zip_longest my_list = ["hi", 'hello', 'there', "python", "object", "oriented", "object", "cool", "language", 'py', 'extension', 'bjarne'] print("The list is : " ) print(my_list) my_prefix = "python" print("The prefix is :") print(my_prefix) my_result, my_temp_val = [], [] for x, y in zip_longest(my_list, my_list[1:]): my_temp_val.append(x) if y and y.startswith(my_prefix): ... Read More

When it is required to extract the percentages from a string, the regular expressions and the ‘findall’ method of the package is used.ExampleBelow is a demonstration of the same −import re my_string = 'Python is % always fun % to learn % and teach' print("The list is : " ) print(my_string) my_result = re.findall('\d*%', my_string) print("The resultant list is : ") print(my_result)OutputThe list is : Python is % always fun % to learn % and teach The resultant list is : ['%', '%', '%']ExplanationThe required packages are imported into the environment.A string is defined and is ... Read More

When it is required to filter all the uppercase characters from a list of tuples, a simple iteration, a Boolean value, the ‘append’ method and the ‘isupper’ methods are used.ExampleBelow is a demonstration of the same −my_list = [("PYTHON", "IS", "Fun"), ("PYTHON", "COOl"), ("PYTHON", ), "ORIENTED", "OBJECT"] print("The list is : " ) print(my_list) my_result_list = [] for sub_list in my_list:    my_result = True    for element in sub_list:       if not element.isupper():          my_result = False          break    if my_result:       my_result_list.append(sub_list) ... Read More

When it is required to remove the elements at indices in a list, the ‘enumerate’ attribute, the ‘not in’ operator, a simple iteration and the ‘append’ methods are used.ExampleBelow is a demonstration of the same −my_list = [91, 75, 15, 45, 69, 78, 23, 71, 36, 72] print("The list is : " ) print(my_list) print("The list after sorting is : " ) my_list.sort() print(my_list) index_list = [2, 4, 5, 7] print("The index values stored in the list are :") print(index_list) my_result = [] for index, element in enumerate(my_list): if index not in index_list: ... Read More

When it is required to filter out the tuple that contains same elements, a list comprehension and the ‘set’ operator and the ‘len’ methods can be used.ExampleBelow is a demonstration of the same −my_list = [(31, 54, 45, 11, 99) , (11, 11), (45, 45, 45), (31, 54, 45, 11, 99), (99, 99), (0, 0)] print("The list is : " ) print(my_list) my_result = [sub_list for sub_list in my_list if len(set(sub_list)) == 1] print("The resultant list is : ") print(my_result)OutputThe list is : [(31, 54, 45, 11, 99), (11, 11), (45, 45, 45), (31, 54, 45, 11, ... Read More

When it is required to convert the rear column of a multi-sized matrix, a simple iteration and the ‘append’ method along with negative indexing is used.ExampleBelow is a demonstration of the same −my_list = [[41, 65, 25], [45, 89], [12, 65, 75, 36, 58], [49, 12, 36, 98], [47, 69, 78]] print("The list is : " ) print(my_list) print("The list after sorting is : " ) my_list.sort() print(my_list) my_result = [] for sub_list in my_list: my_result.append(sub_list[-1]) print("The resultant list is : ") print(my_result) print("The list after sorting is : " ) ... Read More