Python Articles - Page 688 of 929

In this article, we are going to learn how to make pairs from two lists such that no similar elements make a pair. Follow the below steps to solve the problem.Initialize the lists with elements.Iterate over the lists and append the pair into a list if the corresponding elements from the lists are not same.Print the result.ExampleLet's see the code.# initializing the lists list_1 = [1, 2, 3, 4, 5] list_2 = [5, 8, 7, 1, 3, 6] # making pairs result = [(i, j) for i in list_1 for j in list_2 if i != j] # ... Read More

In this article, we are going to learn about the pytrie module to prefix matching strings from a list of strings. Let's see an example to understand it clearly.Input: List: ['tutorialspoint', 'tutorials', 'tutorialspython', 'python'] Prefix: 'tutorials' Output: ['tutorialspoint', 'tutorials', 'tutorialspython']We can achieve it in different ways. In this tutorial, we are going to achieve it using the pytrie module.From pytrie module, we will use the pytrie.StringTrie data structure. We can perform create, insert, search, and delete operations.First, install the pytrie module with the following command.pip install pytrieLet's see steps to achieve the desired output.Import the pytrie module.Initialize the list, ... Read More

In this article, we are going to scrape the text from Wikipedia's Infobox using BeatifulSoup and requests in Python. We can do it in 10 mins. It's straightforward.We need to install bs4 and requests. Execute the below commands to install.pip install bs4 pip install requestsFollow the below steps to write the code to fetch the text that we want from the infobox.Import the bs4 and requests modules.Send an HTTP request to the page that you want to fetch data from using the requests.get() method.Parse the response text using bs4.BeautifulSoup class and store it in a variable.Go to the Wikipedia page ... Read More

DataFrame maybe compared to a data set held in a spreadsheet or a database with rows and columns. DataFrame is a 2D Object.Ok, confused with 1D and 2D terminology ?The major difference between 1D (Series) and 2D (DataFrame) is the number of points of information you need to inorer to arrive at any single data point. If you take an example of a Series, and wanted to extract a value, you only need one point of reference i.e. row index.In comparsion to a table (DataFrame), one point of reference is not sufficient to get to a data point, you need ... Read More

Suppose we have a list of flights as [origin, destination] pairs. The list is shuffled; we have to find all the airports that were visited in the correct order. If there are more than one valid itinerary, return lexicographically smallest ones first.So, if the input is like flights = [["Mumbai", "Kolkata"], ["Delhi", "Mumbai"], ["Kolkata", "Delhi"] ], then the output will be ['Delhi', 'Mumbai', 'Kolkata', 'Delhi']To solve this, we will follow these stepsins := an empty mapouts := an empty mapadj_list := an empty mapDefine a function dfs() . This will take airportwhile outs[airport] is not null, donxt := size of ... Read More

Suppose we have a string s and another number k, we have to check whether we can create k palindromes using all characters in s or not.So, if the input is like s = "amledavmel" k = 2, then the output will be True, as we can make "level" and "madam".To solve this, we will follow these stepsd := a map where store each unique characters and their frequencycnt := 0for each key in d, doif d[key] is odd, thencnt := cnt + 1if cnt > k, thenreturn Falsereturn TrueLet us see the following implementation to get better understandingExamplefrom collections ... Read More

Suppose we have a number n; we have to find the minimum number of Fibonacci numbers required to add up to n.So, if the input is like n = 20, then the output will be 3, as We can use the Fibonacci numbers [2, 5, 13] to sum to 20.To solve this, we will follow these stepsres := 0fibo := a list with values [1, 1]while last element of fibo n, dodelete last element from fibon := n - last element of fibores := res + 1return resLet us see the following implementation to get better understandingExampleclass Solution:   ... Read More

In this post, I will show you how to create charts in excel using Python - Openpyxl module. We will create an excel spreadsheet from scratch with Tennis players grandslam titles as the data for creating bar charts using the openpyxl module.Introduction..Microsoft office has started providing a new extension to Microsoft Excel sheets, which is .xlsx, from Office 2007 to support storing more rows and columns.This change had moved Excel sheets to a XML based file format with ZIP compression. The world is ruled by Microsoft spreadsheets, people have been using spreadsheets for various purposes and one of the use ... Read More

Suppose we have a 2D matrix representing an excel spreadsheet. We have to find the same matrix with all cells and formulas computed. An excel spreadsheet looks like belowB17035=A1+A2The columns are named as (A, B, C...) and rows are (1, 2, 3....) Each cell will either contain a value, a reference to another cell, or an excel formula for an operation with between numbers or cell reference. (Example. "=A1+5", "=A2+B2", or "=2+5")So, if the input is likeB17035=A1+A2then the output will be7703510as the B1 = 7 (The first row second column) and "=A1 + A2" is 7 + 3 = 10.To ... Read More

Given a list of integers nums, you can perform the following operation: pick the largest number in nums and turn it into the second largest number. Return the minimum number of operations required to make all integers the same in the list.So, if the input is like nums = [5, 9, 2], then the output will be 3, as pick 9 first, then make it 5, so array is [5, 5, 2], then pick 5 and make 2, [5, 2, 2], again pick 5 and convert into 2, [2, 2, 2].To solve this, we will follow these stepsvals := sort ... Read More