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

With the help of `np.logseries()` method, we can get the log series in the form of an array by using `np.logseries()` method.

Syntax : `np.logseries(p, size)`

Return : Return an array of log series.

Example #1 :

In this example we can see that by using `np.logseries()` method, we are able to get an array of log series by using this method.

 `# import numpy ` `import` `numpy as np ` ` `  `# using np.logseries() method ` `gfg ``=` `np.random.logseries(``0.4``, ``25``) ` ` `  `print``(gfg) `

Output :

[1 1 1 3 1 2 1 1 2 1 1 1 1 1 1 1 1 1 2 3 1 3 1 1 1]

Example #2 :

 `# import numpy ` `import` `numpy as np ` ` `  `# using np.logseries() method ` `gfg ``=` `np.random.logseries(``0.8``, ``25``) ` ` `  `print``(gfg) `

Output :

[ 1 1 1 2 3 1 6 3 3 3 1 2 1 1 1 5 2 1 18 1 1 1 2 2
1]

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