Python | Numpy np.lognormal () method



With the method np.lognormal() we can get the values ​​of the normal logarithmic distribution using np.lognormal () .

Syntax: np.lognormal (mean, sigma, size)
Return: Return the array of log normal distribution.

Example # 1:
In this example, we see that with np.lognormal () we can get a normal distribution of the log using this method.

# NumPy imports

import numpy as np

  
# using the np.lognormal () method

gfg = np.random.lognormal (  0.4 , 1 , 20 )

 

print (gfg) 

Output:

[1.79018885 5.92534286 1.00603156 3.81479755 1.25423563 1.07349624
1.73633784 3.94777056 0.46396803 6.94550919 0.99394585 5.18915825
0.44592035 2.0444561 1.53886748 0.55812707 0.89377027 0.72423754
1.54571163 0.12100189]

Example

# NumPy import

import numpy as np

 
# use Using the np.lognormal () method

gfg = np.random.lognormal ( 0.5 , 3 , 20 )

 

print (gfg) 

Output:

[3.07682048 e + 00 9.44352316e + 01 6.87353998e + 03 3.05831375e + 01
1.46571273e + 00 3.90269093e + 01 1.69201799e + 01 3.85820572e + 00
1.06782865e + 02 5.18854252e-02 1.49602754e- 01 8.61251480e-02
1.12008497e + 03 3.39899978e + 02 3.89940243e + 01 4.92388063e-01
9.18305486e-01 5.89074684e-02 3.78148976e + 00 2.38199349e + 00]