Python Articles - Page 939 of 1048

To quickly convert Decimal to other based, we will be using the Built-in functions in Python − Decimal to Binary − bin() Decimal to Octal − oct() Decimal to Hexadecimal − hex() Decimal number system has base 10 as it uses 10 digits from 0 to 9. In decimal number system, the successive positions to the left of the decimal point represent units, tens, hundreds, thousands, and so on. Binary uses two digits, 0 and 1. Also called as base 2 number system Each position in a binary number represents a 0 power of the base (2). Last ... Read More

The photomosaic is a technique, where we can split our image into a grid of squares. Each square will be replaced by some other images or colors. So when we want to see the actual image from a certain distance, we can see the actual image, but if we come closer, we can see the grid of different colored blocks. In this case we are using a Python module called photomosaic. Using this module, we can easily create some photomosaics. To install it please follow this link. It will also download the scikit learn module. sudo pip3 install photomosaic ... Read More

UUID is having the full form Universal Unique Identifier, it is a python library which supports 128 bits ids for generating random objects. Advantages of UUID As discussed, we can use it to generate unique random id for random objects. For cryptography and hashing applications, this id can be used. For generating random documents and also addresses etc. this id can be used. Method1 Using uuid1() Example code import uuid print ("Random id using uuid1() is : ", end="") print (uuid.uuid1()) Output Random id using uuid1() is : 4adeede2-e5d8-11e8-bd27-185e0fd4f8b3 Representations of uuid1() bytes − ... Read More

We know that when we solve any image related problem, we have to take a matrix. The matrix content will vary depending upon the image type - either it would be a binary image(0, 1), gray scale image(0-255) or RGB image(255 255 255). So if we want to add of two images then that means very simple we have to add respective two matrices. In OpenCV library, we have a function cv2.add() to add the images. But for image addition the size of the two images should be same. Addition of two images import cv2 # Readingour Image1 my_firstpic ... Read More

This is a method in image processing to do contrast adjustment using the image's histogram. Actually this method usually increases the global contrast of many images, especially when the usable data of the image is represented by close contrast values and through this adjustment, the intensities can be better distributed on the histogram and it allows for areas of lower local contrast to gain a higher contrast. OpenCV has a function to do this, cv2.equalizeHist() and its input is just grayscale image and output is our histogram equalized image. This technique is good when histogram of the image is confined ... Read More

magic methods that allow us to do some pretty neat tricks in object oriented programming. These methods are identified by a two underscores (__) used as prefix and suffix. As example, function as interceptors that are automatically called when certain conditions are met. In python __repr__ is a built-in function used to compute the "official" string representation of an object, while __str__ is a built-in function that computes the "informal" string representations of an object. Example Code Live Demo class String: # magic method to initiate object def __init__(self, string): ... Read More

In OpenCv module, we can use the function cv2.imread() to read an image. When inputting the image path, the image should be in the working directory or a full path of image should be given. cv2.IMREAD_COLOR − This function loads a color image and any transparency of image will be neglected. It is the default flag. cv2.IMREAD_GRAYSCALE − This function loads image in grayscale mode cv2.IMREAD_UNCHANGED − This function loads image as such including alpha channel Source Image Example import numpy as np import cv2 my_img = cv2.imread('C:/Users/TP/Desktop/poor/poverty_india.jpg', 0) cv2.imshow('image', my_img) k = cv2.waitKey(0) & 0xFF # wait ... Read More

The basic operations of OpenCV is to draw over images. The ability to add different geometric shapes just like lines, circles and rectangle etc. Often working with image analysis, we want to highlight a portion of the image, for example by adding a rectangle that defines that portion. Also as example an arrow to indicate something. cv2.line() − This function is used to draw line on an image. cv2.rectangle() − This function is used to draw rectangle on an image. cv2.circle() − This function is used to draw circle on an image. cv2.putText() − This function is used to write ... Read More

News API is very famous API for searching and fetching news articles from any web site, using this API anyone can fetch top 10 heading line of news from any web site. But using this API, one thing is required which is the API key. Example Code import requests def Topnews(): # BBC news api my_api_key="Api_number” my_url = = " https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey=my_api_key" my_open_bbc_page = requests.get(my_url).json() my_article = my_open_bbc_page["articles"] my_results = [] for ar in my_article: ... Read More

Minkowski distance is a metric in a normed vector space that measures the distance between two or more vectors. This is typically used in machine learning to find distance similarity. The formula to calculate the Minkowski distance is - $$\mathrm{D= \big[\sum_{i=1}^{n}|r_i-s_i|^p\big]^{1/p}}$$ Where, xi and yi: Two points in n-dimensional space p: Parameter that determines the type of distance being calculated. For example, if p=1, it is the Manhattan distance, and if p=2, it represents Euclidean distance. For example, if we consider the following vector's as input - x = (0, ... Read More