When the index values are customized, they are accessed using series_name[‘index_value’].The ‘index_value’ passed to series is tried to be matched to the original series. If it is found, that corresponding data is also displayed on the console.Let us see how multiple elements can be displayed.Example Live Demoimport pandas as pd my_data = [34, 56, 78, 90, 123, 45] my_index = ['ab', 'mn' ,'gh', 'kl', 'wq', 'az'] my_series = pd.Series(my_data, index = my_index) print("The series contains following elements") print(my_series) print("Accessing multiple elements using customized index") print(my_series[['mn', 'az', 'wq', 'ab']])OutputThe series contains following elements ab  34 mn  56 gh  78 kl  90 wq ... Read More

Scalar or constant values are defined once, and they are repeated across all rows/entries of the series data structure. Following is an example −Example Live Demoimport pandas as pd my_index = ['ab', 'mn' ,'gh', 'kl'] my_series = pd.Series(7, index = my_index) print("This is series data structure created using scalar values and specifying index values") print(my_series)OutputThis is series data structure created using scalar values and specifying index values ab   7 mn   7 gh   7 kl   7 dtype: int64ExplanationThe required libraries are imported, and their alias are given so that it is easy to use them.A list of index ... Read More

Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. Seaborn is a library that helps in visualizing data.Scatter plot shows the distribution of data as data points that are spread/scattered on the graph. It uses dots to represents values of a dataset, which are numeric in nature. The position of every dot on the horizontal and vertical axis denotes the value for a single data point.They help understand the relationship between two variables. Let us understand how this can be achieved using ... Read More

Let us see how a series data structure can be created with the help of a Numpy array, and explicitly giving values for ‘index’.When no value is specified for index, default values beginning from 0 are assigned to values in the series.Following is an example −Example Live Demoimport pandas as pd import numpy as np my_data = np.array(['ab', 'bc', 'cd', 'de', 'ef', 'fg', 'gh', 'hi']) my_index = [3, 5, 7, 9, 11, 23, 45, 67] my_series = pd.Series(my_data, index = my_index) print("This is series data structure created using Numpy array and specifying index values") print(my_series)OutputThis is series data structure created using ... Read More

In this problem, we are given an array arr[] and a number M. Our task is to create a program to calculate the Maximum Weight Difference in C++.Problem descriptionWe will find M elements from the array such that the absolute difference between the sum and the sum of the rest elements is maximum.Let’s take an example to understand the problem, Inputarr[] = {3, 1, 6, 9, 4} M = 3Output15ExplanationWe will consider 4, 6, 9. The sum is 19. The absolute difference with the sum of rest numbers is|19 − 4| = 15Solution ApproachA simple solution to the problem is ... Read More

In this problem, we are given an array arr[] of size n consisting of positive values. Our task is to create a program to find the maximum subsequence sum in such a way that no two consecutive elements of the array.Problem Description − We need to find the sum of subarray which has elements of the array but no two adjacent elements of the array can be taken into consideration.ExampleLet’s take an example to understand the problem, Inputarr[] = {5, 2, 1, 9, 6}OutputExplanation −Subarray sum are : {5, 1, 6}, sum = 5 + 1 + 6 = 12 ... Read More

In this problem, we are given an array arr[] of size n and a number k. Our task is to create a program to find the maximum sum subsequence with atleast k distant elements.Problem Description − We need to find the sum of subarrays such that the elements of the subarray are taken from the array whose index is at k distance and the sum is maximized.Let’s take an example to understand the problem, Inputarr[] = {2, 3, 7, 9, 2, 8, 3}Output15ExplanationAll subsequences that satisfy the given condition, {2, 9, 3}, Sum = 14 {3, 2}, Sum = 5 ... Read More

In this problem, we are given an array arr[] of size n consisting of positive values. Our task is to create a program to find the maximum sum subarray such that start and end values are the same.Problem Description − Here, we need to find a subarray such that the elements at index i (starting index of subarray) and j (ending index of subarray) are the same i.e. arr[i] = arr[j]. And the sum of elements of the subarray is maximized.Let’s take an example to understand the problem, Inputarr[] = {2, 1, 3, 5, 6, 2, 4, 3}Output23ExplanationAll subarrays which ... Read More

In this problem, we are given an array arr[] of size n and an integer k. Our task is to create a program to find the maximum sum possible for a subsequence such that no two elements appear at a distance < K in the array.Problem Description − We need to find the maximum sum of sub−seqeunce that considers elements that are k distance from each other.Let’s take an example to understand the problem, Inputarr[] = {6, 2, 5, 1, 9, 11, 4} k = 2Output16ExplanationAll possible sub−sequences of elements that differ by k or more. {6, 1, 4}, sum ... Read More

In this problem, we are given a matrix mat[][] of size nXm. Our task is to create a program to find the maximum sum path in a matrix from top to bottom and back.Problem Description − We need to find the maximum path sum from topleft to bottom−right and then back.Valid movesFrom mat[0][0] to mat[n−1][m−1]: Right (mat[i][j] to mat[i][j+1]) and Down (mat[i][j] to mat[i+1][j]). From mat[n−1][m−1] to mat[0][0]: left (mat[i][j] to mat[i][j−1]) and up (mat[i][j] to mat[i−1][j]).One important thing is that both paths cannot be the same. There should be one or more elements different in both paths.Let’s take an ... Read More