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Python | Numpy np.lognormal() method
• Last Updated : 13 Oct, 2019

With the help of `np.lognormal()` method, we can get the log normal distribution values using `np.lognormal()` method.

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

Example #1 :
In this example we can see that by using `np.lognormal()` method, we are able to get the log normal distribution using this method.

 `# import numpy ` `import` `numpy as np ` ` `  `# using 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 #2 :

 `# import numpy ` `import` `numpy as np ` ` `  `# using np.lognormal() method ` `gfg ``=` `np.random.lognormal(``0.5``, ``3``, ``20``) ` ` `  `print``(gfg)  `

Output :

[3.07682048e+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]

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