Compute Mean, Standard Deviation and Variance of a NumPy Array

Niharika Aitam
Updated on 07-Aug-2023 18:08:11

589 Views

Mean, Standard Deviation and Variance are the statistical measures which are used to describe the distribution of the given dataset data. In Numpy library, we have the functions to calculate the mean, standard deviation and variance of the arrays. Let’s see one by one in detail. Mean Mean is also known as average, which is the sum of all the elements in the array divided by the total number of elements. It is used to represent the central tendency of the data. Syntax Following is the syntax for applying the mean function on the arrays - numpy.mean(arr) ... Read More

Compute the Inverse of a Matrix Using inv() Function of NumPy

Niharika Aitam
Updated on 07-Aug-2023 18:02:58

191 Views

The inverse matrix is a matrix that gives a multiplicative identity when multiplied with its original matrix. It is denoted by A-1. The inverse matrix can be calculated for the square matrices with the n x n size. The mathematical formula given for calculating the inverse matrix is as follows. A-1 . A = A . A-1 = I Where, A is the original matrix. A-1 is the inverse of the original matrix A. I is the identity matrix. Let’s take the original matrix as A with the size 2 x 2 and elements as ... Read More

Compute Inner Product of Vectors for d-Arrays Using NumPy in Python

Niharika Aitam
Updated on 07-Aug-2023 17:44:42

250 Views

Inner product is one of the most important operations in the linear algebra mathematical operations, which takes two vectors as input and gives the scalar value as the output. It is also known as the Dot product or the scalar product. The inner product of the two vectors is given as follows. a . b = ||a|| ||b|| cos(Ø) Where, ||a|| and ||b|| are the magnitudes of the vectors a and b respectively Ø is the angle between the vectors a and b a . b is the dot product of a and b Calculating Inner ... Read More

Compute Histogram of Nums Against Bins Using NumPy

Niharika Aitam
Updated on 07-Aug-2023 17:41:41

169 Views

In python, for creating histograms we have the numpy, matplotlib and seaborn libraries. In Numpy, we have the function namely histogram() to work with the histogram data. The input argument for the histogram() function is the nums and bins. The nums are used to create the numerical data. Before proceeding with the examples first of all let us understand what is histogram. What is histogram Histogram is the graphical representation of the dataset distribution. It represents the data in the form of series of bars, where the range of data values represented by each bar and height of the bar ... Read More

Finding Maximum Distance Between Elements Using Python

Pranavnath
Updated on 07-Aug-2023 17:41:16

789 Views

Introduction The list data structure deals with the elements of different data types like integer numbers, float number or string. The elements need to be defined within the square brackets separated by comma. The Python language is primarily composed of different data structures and from it the list data structure is the most used one. The lists can hold elements of different data types and when they are assigned with some values they cannot be changed. In this article, we will be finding the maximum distance between the elements. Maximum Distance between the Elements The elements in the list are ... Read More

Compute Histogram of Data Using Numpy in Python

Niharika Aitam
Updated on 07-Aug-2023 17:39:36

246 Views

A Histogram is the graphical representation of the dataset distribution. It represents the data in the form of series of bars, where the range of data values represented by each bar and height of the bar represents the frequency of the data values defined within the range. These are mainly used to represent the distribution of the numerical data like grades in a class, distribution of the population or distribution of the incomes of the employees etc. In histogram, x-axis represents the range of data values, divided into intervals and the y-axis represents the frequency of the range of data ... Read More

Compute Factor of Array Using Singular Value Decomposition in NumPy

Niharika Aitam
Updated on 07-Aug-2023 17:36:42

154 Views

Singular Value Decomposition (SVD) is the matrix factorization technique which divides the matrix into three parts namely left singular matrix, a diagonal singular matrix and right singular matrix. SVD is powerful tool used in linear algebra and it has number of applications in data analysis, machine Learning and signal processing. This is mainly used to compute the rank of the matrix, as well as to perform the linear equations and performing the image compression and many more operations. Calculating Singular Value Decomposition If we compose a real or complex matrix A with the size m x n, then ... Read More

Handle Events Using jQuery DataTables Plugin

Mrudgandha Kulkarni
Updated on 07-Aug-2023 17:33:46

2K+ Views

jQuery DataTables is a powerful plugin that provides advanced features for displaying and manipulating tabular data on the web. It offers a rich set of functionalities, including sorting, searching, pagination, and more. While DataTables simplifies the process of creating dynamic tables, effectively handling events within these tables is crucial to enhance user interactions and customize behavior. In this blog post, we will explore how to handle events using the jQuery DataTables plugin. We'll dive into both basic and advanced event handling techniques that will enable you to respond to user actions, perform custom operations, and create interactive data tables. Setting ... Read More

Compute Covariance Matrix of Two Given Numpy Arrays

Niharika Aitam
Updated on 07-Aug-2023 17:32:38

940 Views

Covariance is the measure of two variables that defines how they are related to each other. In other words, it measures the extent to which one variable is associated with the changes in the other variable. When the covariance of the variables is positive, it implies that both variables are moving in the same direction i.e. if one variable tends to increase, as a result, the value of the other variable also increases. When the covariance of the variables is negative then it represents the two variables are moving in opposite direction i.e. if one variable increases the value ... Read More

Change Image Background with Green Screen in MATLAB

Manish Kumar Saini
Updated on 07-Aug-2023 17:30:09

400 Views

In this article, we learn how to change the green background of an image to some other background using MATLAB programming. The concept of changing a green screen background to another background involves the use of a technology called “chroma key”. This technology detects the absolute green color in the image and omits it from the image. Then, we can apply another image or color as the background to the image. Algorithm The step−by−step process of changing the green screen background of an image with another background in MATLAB is explained below: Step (1) − Read the input image with ... Read More

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