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

• Last Updated : 06 Feb, 2020

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

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

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

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

Output :

-1.3502256128148469

Example #2 :

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

Output :

-0.12420246359133956

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