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Python | Scipy stats.halfgennorm.cdf() method
• Last Updated : 06 Feb, 2020

With the help of `stats.halfgennorm.cdf()` method, we can get the value of cumulative distribution function by using `stats.halfgennorm.cdf()` method.

Syntax : `stats.halfgennorm.cdf(x, beta)`
Return : Return the value of cumulative distribution function.

Example #1 :
In this example we can see that by using `stats.halfgennorm.cdf()` method, we are able to get the value of cumulative distribution function by using this method.

 `# import halfgennorm``from` `scipy.stats ``import` `halfgennorm``beta ``=` `1`` ` `# Using stats.halfgennorm.cdf() method``gfg ``=` `halfgennorm.cdf(``0.3``, beta)`` ` `print``(gfg)`

Output :

0.25918177931828207

Example #2 :

 `# import halfgennorm``from` `scipy.stats ``import` `halfgennorm``beta ``=` `4`` ` `# Using stats.halfgennorm.cdf() method``gfg ``=` `halfgennorm.cdf(``0.9``, beta)`` ` `print``(gfg)`

Output :

0.8832010067319619

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