random.triangular() method in Python Last Updated : 17 May, 2020 Suggest changes Share Like Article Like Report triangular() is an inbuilt method of the random module. It is used to return a random floating point number within a range with a bias towards one extreme. Syntax : random.triangular(low, high, mode) Parameters : low : the lower limit of the random number high : the upper limit of the random number mode : additional bias; low < mode < high if the parameters are (10, 100, 20) then due to the bias, most of the random numbers generated will be closer to 10 as opposed to 100. Returns : a random floating number Example 1: Python3 1== # import the random module import random # determining the values of the parameters low = 10 high = 100 mode = 20 # using the triangular() method print(random.triangular(low, high, mode)) Output : 22.614510550239572 Example 2: If we generate the number multiple times we can probably identify the bias. Python3 1== # import the random module import random # determining the values of the parameters low = 10 high = 100 mode = 20 # running the triangular method with the # same parameters multiple times for i in range(10): print(random.triangular(low, high, mode)) Output : 58.645768016894735 46.690692250503226 33.57590419190895 52.331804090351305 33.09451214875767 12.03845752596168 32.816080679206294 20.4739124559502 82.49208123077557 63.511062284733015 Example 3: We can visualize the triangular pattern by plotting a graph. Python3 1== # import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a list nums = [] low = 10 high = 100 mode = 20 for i in range(10000): temp = random.triangular(low, high, mode) nums.append(temp) # plotting a graph plt.hist(nums, bins = 200) plt.show() Output : Y Yash_R Follow Article Tags : Python Python-random Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 1 min read My Profile ${profileImgHtml} My Profile Edit Profile My Courses Join Community Transactions Logout Like