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 < highif 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:
# import the random module import random # determining the values of the parameters low = 10high = 100mode = 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.
# import the random module import random # determining the values of the parameters low = 10high = 100mode = 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.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a list nums = [] low = 10high = 100mode = 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 :
