When it is required to display elements with same index, a simple iteration and the ‘enumerate’ attribute is used.Below is a demonstration of the same −Example Live Demomy_list = [33, 1, 2, 45, 41, 13, 6, 9] print("The list is :") print(my_list) my_result = [] for index, element in enumerate(my_list):    if index == element:       my_result.append(element) print("The result is :") print(my_result)OutputThe list is : [33, 1, 2, 45, 41, 13, 6, 9] The result is : [1, 2, 6]ExplanationA list is defined and displayed on the console.An empty list is defined.The list is iterated over, ... Read More

When it is required to display elements with factors count less than K, a method is defined that takes two parameters and uses list comprehension to iterate over the elements and use ‘modulus’ operator to determine the result.Below is a demonstration of the same −Example Live Demodef factors(element, K):    return len([index for index in range(1, element + 1) if element % index == 0])

When it is required to sort matrix by total characters, a method is defined that uses list comprehension and the ‘sum’ and ‘len’ methods to determine the result.Below is a demonstration of the same −Example Live Demodef total_characters(row):    return sum([len(element) for element in row]) my_list = [["pyt", "is", "fun"], ["python", "fun"], ["py", "4", "good"], ["python"]] print("The list is :") print(my_list) my_list.sort(key=total_characters) print("The result is :") print(my_list)OutputThe list is : [['pyt', 'is', 'fun'], ['python', 'fun'], ['py', '4', 'good'], ['python']] The result is : [['python'], ['py', '4', 'good'], ['pyt', 'is', 'fun'], ['python', 'fun']]ExplanationA method named ’total_characters’ is defined ... Read More

When it is required to extract list with difference in extreme values greater than K, a list comprehension and the ‘min’ and ‘max’ methods are used.Below is a demonstration of the same −Example Live Demomy_list = [[13, 52, 11], [94, 12, 21], [23, 45, 23], [11, 16, 21]] print("The list is :") print(my_list) key = 40 my_result = [element for element in my_list if max(element) - min(element) > key] print("The result is :") print(my_result)OutputThe list is : [[13, 52, 11], [94, 12, 21], [23, 45, 23], [11, 16, 21]] The result is : [[13, 52, 11], [94, ... Read More

When it is required to get the negative index of an element in a list, the ‘len’ method and the ‘index’ method are used.Below is a demonstration of the same −Example Live Demomy_list = [52, 47, 18, 22, 23, 57, 13] print("The list is :") print(my_list) my_key = 22 print("The value of key is ") print(my_key) my_result = len(my_list) - my_list.index(my_key) print("The result is :") print(my_result)OutputThe list is : [52, 47, 18, 22, 23, 57, 13] The value of key is 22 The result is : 4ExplanationA list of integers is defined and is displayed on the ... Read More

When it is required to customize the lower bound on a list, a list comprehension can be used and a specific condition can be placed in it.Below is a demonstration of the same −Example Live Demomy_list = [51, 71, 86, 21, 11, 35, 67] print("The list is :") print(my_list) K = 50 print("The value of K is ") print(K) my_result = [element if element >= K else K for element in my_list] print("The result is :") print(my_result)OutputThe list is : [51, 71, 86, 21, 11, 35, 67] The value of K is 50 The result is : ... Read More

When it is required to remove elements, which are at K distance with N, a list comprehension along with a specific condition is used.Below is a demonstration of the same −Example Live Demomy_list = [13, 52, 5, 45, 65, 61, 18 ] print("The list is :") print(my_list) K = 3 print("The value of K is ") print(K) N = 5 print("The value of N is ") print(N) my_result = [element for element in my_list if element < N - K or element > N + K] print("The result is:") print(my_result)OutputThe list is : [13, 52, 5, ... Read More

When it is required to find disjoint strings across lists, a method is defined that takes two parameters, and uses the lambda and reduce methods with the ‘if’ condition to determine the result.Below is a demonstration of the same −Example Live Demofrom functools import reduce def determine_disjoint_pairs(disjoint_data, my_result=[]):    if not disjoint_data and not reduce(lambda a, b: set(a) & set(b), my_result):       yield tuple(my_result)        elif disjoint_data:       yield [idx for k in disjoint_data[0] for idx in determine_disjoint_pairs(disjoint_data[1:], my_result + [k])] my_list_1 = ["python", "is", "fun"] my_list_2 = ["its", "awesome", "learning"] ... Read More

When it is required to check if particular value is present corresponding to a key ‘K’, a list comprehension is used.Below is a demonstration of the same −Example Live Demomy_list = [{"python" : "14", "is" : "great", "fun" : "1`"}, {"python" : "cool", "is" : "fun", "best" : "81"}, {"python" : "93", "is" : "CS", "amazing" : "16"}] print("The list is :") print(my_list) K = "python" print("The value of K is ") print(K) value = "cool" my_result = value in [index[K] for index in my_list] print("The result is :") if(my_result == True):    print("The value ... Read More

To find the common elements in a Pandas DataFrame, we can use the merge() method with a list of columnsStepsCreate a two-dimensional, size-mutable, potentially heterogeneous tabular data, df1.Print the input DataFrame, df1.Create another two-dimensional tabular data, df2.Print the input DataFrame, df2.Find the common elements using merge() method.Print the common DataFrame.Exampleimport pandas as pd df1 = pd.DataFrame( { "x": [5, 2, 7, 0], "y": [4, 7, 5, 1], "z": [9, 3, 5, 1] } ) df2 = ... Read More