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 = 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.
# 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.
# 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 :