random.expovariate() function in Python
Last Updated :
23 Dec, 2021
random
module is used to generate random numbers in Python. Not actually random, rather this is used to generate pseudo-random numbers. That implies that these randomly generated numbers can be determined.
random.expovariate()
expovariate()
is an inbuilt method of the random
module. It is used to return a random floating point number with exponential distribution.
Syntax : random.expovariate(lambda)
Parameters :
lambda : a non zero value
Returns : a random exponential distribution floating number
if the parameter is positive, the results range from 0 to positive infinity
if the parameter is negative, the results range from 0 to negative infinity
Example 1:
import random
lambda = 1.5
print (random.expovariate( lambda ))
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Output :
0.22759592233982198
Example 2: We can generate the number multiple times and plot a graph to observe the exponential distribution.
import random
import matplotlib.pyplot as plt
nums = []
alpha = 3
for i in range ( 100 ):
temp = random.paretovariate(alpha)
nums.append(temp)
plt.plot(nums)
plt.show()
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Output :
Example 3: We can create a histogram to observe the density of the exponential distribution.
import random
import matplotlib.pyplot as plt
nums = []
lambda = 1.5
for i in range ( 10000 ):
temp = random.expovariate( lambda )
nums.append(temp)
plt.hist(nums, bins = 200 )
plt.show()
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Output :
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