# Python | Scipy stats.halfgennorm.sf() method

• Last Updated : 06 Feb, 2020

With the help of `stats.halfgennorm.sf()` method, we can get the value of survival function which is 1 – cdf by using `stats.halfgennorm.sf()` method.

Syntax : `stats.halfgennorm.sf(x, beta)`
Return : Return the value of survival function.

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

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

Output :

0.740818220681718

Example #2 :

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

Output :

0.11679899326803797

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