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Hierarchical data is often used to represent multiple levels of nested groups or categories. For example, a company may have a hierarchy of employees, departments, and locations. A product may have a hierarchy of categories and subcategories. One of the challenges of working with hierarchical data is how to represent it in a tabular format which can make it easy to manipulate and analyze. In this article, we are going to present hierarchical data using Pandas' built-in methods like 'set_index()' and 'groupby()'. Python Program to Represent Hierarchical Data using Pandas First, let's briefly discuss Pandas and its ... Read More
A sequence is a collection of objects, and in our case, it is a collection of integers. The task is to find if a sequence with the usage of the addition and subtraction operator within the elements is divisible by M or not. Problem Statement Given an integer M and an array of integers. Using only addition and subtraction between elements check if there is a valid sequence whose solution is divisible by M. Sample Example 1 Input: M = 2, arr = {1, 2, 5} Output: TRUE Explanation − For the given array a valid sequence {1 ... Read More
Finding the percentile rank is a common operation that is used for comparison between data of a single dataset. The end result of this operation shows a certain percentage is greater than or equal to the specified percentile. For instance, suppose a student obtains a score greater than or equal to 80% of all other scores. Then, the percentile rank of that student is 80th. To find the percentile rank of a column in a Pandas DataFrame, we can use the built-in methods named 'rank()' and 'percentile()' provided by Python. Python Program to find Percentile Rank of ... Read More
Introduction The text discusses the concept of a model in machine learning, its various forms, and how to evaluate its accuracy. It explains accuracy as a common evaluation metric used in machine learning and its limitations and provides an example of a Python program that demonstrates how to check the accuracy of a machine−learning model. The text also explains model accuracy as a performance metric for classification models and its usefulness in evaluating the overall performance of a model, while cautioning that other metrics may be more appropriate in certain situations. Model in Machine Learning In machine learning, ... Read More
Introduction Parsing and converting HTML files to XML format are regular activities that frequently emerge in the field of web development and data processing. In contrast to XML, which is a flexible markup language that makes data sharing and storage easier, HTML (Hypertext Markup Language) is the industry standard language for structuring and presenting information on the web. Data extraction, data transformation, and system compatibility are just a few uses for which it might be advantageous to convert HTML to XML. The importance of parsing and converting HTML to XML There are several reasons why parsing and converting ... Read More
Let x and y be two numbers. In this case, x is said to be a divisor of y if when y is divided by x it returns zero remainder. The maximum occurring divisor in an interval is the number that is a divisor of the maximum number of elements of that interval. Problem Statement Given an interval [a, b]. Find the maximum occurring divisor in the range including both a and b, except ‘1’. In case all divisors have equal occurrence, return 1. Sample Example 1 Input [2, 5] Output 2 Explanation − Divisors of 2 = ... Read More
Introduction Parsing datetime strings is a typical job when working with time and date information in Python. Traditional datetime forms, however, may not be sufficient as our requirement for precision grows. This is when nanoseconds enter the picture. Nanoseconds are the smallest unit of measurement of time, allowing for highly exact temporal computations. Parsing datetime strings with nanosecond precision is critical in various applications, including scientific investigations and financial data processing. Understanding Nanoseconds Nanoseconds, or one billionth of a second, provide fantastic clarity. It is crucial when timing precision is essential for example high−frequency trading or scientific ... Read More
Ramanujan-Nagell Equation is an example of the exponential Diophantine equation. The diophantine equation is a polynomial equation with integer coefficients of two or more unknowns. Only integral solutions are required for the Diophantine equation. Ramanujan-Nagell Equation is an equation between a square number and a number that is seven less than the power of 2, where the power of 2 can only be a natural number. Ramanujan conjectured that the diophantine equation 2y - 7 = x2 has positive integral solutions and was later proved by Nagell. $$\mathrm{2y−7=x^2\:has\:x\epsilon\:Z_+:x=1, 3, 5, 11, 181}$$ Triangular Number − It counts objects arranged in ... Read More
When dealing with XML data in Python, ensuring its readability and structure can greatly enhance code comprehension and maintainability. Pretty printing XML, or formatting it with proper indentation and line breaks, is a valuable technique for achieving these goals. In this article, we explore two different methods to pretty print XML using Python: xml.dom.minidom and xml.etree.ElementTree. By understanding these approaches, developers can effectively present XML data in an organized and visually appealing manner, facilitating easier analysis and manipulation. How to Pretty print XML in Python? Below are the two methods using which we can perform pretty printing in Python ... Read More
Introduction Finding out if a requested page is on a server or not is essential in the field of web development and data retrieval. Python offers a variety of methods to check whether a particular page is present on a server thanks to its flexible features. Developers may quickly determine whether a given page is available on the server by using the robust libraries and techniques of Python. This article explores different approaches to perform page existence tests using Python. The usage of popular HTTP libraries like requests, web scraping techniques that make use of libraries like BeautifulSoup, ... Read More