Call python function with default arguments before other arguments?










0















Can I call a function using the default value for some arguments but not for all?



Take numpy.random.lognormal(mean=0.0, sigma=1.0, size=None) as an example,
I want to call it with default mean and sigma but not default size.



Something in my mind is like np.random.lognormal(_,_,2), but this does not work



Is it possible to do that?










share|improve this question


























    0















    Can I call a function using the default value for some arguments but not for all?



    Take numpy.random.lognormal(mean=0.0, sigma=1.0, size=None) as an example,
    I want to call it with default mean and sigma but not default size.



    Something in my mind is like np.random.lognormal(_,_,2), but this does not work



    Is it possible to do that?










    share|improve this question
























      0












      0








      0








      Can I call a function using the default value for some arguments but not for all?



      Take numpy.random.lognormal(mean=0.0, sigma=1.0, size=None) as an example,
      I want to call it with default mean and sigma but not default size.



      Something in my mind is like np.random.lognormal(_,_,2), but this does not work



      Is it possible to do that?










      share|improve this question














      Can I call a function using the default value for some arguments but not for all?



      Take numpy.random.lognormal(mean=0.0, sigma=1.0, size=None) as an example,
      I want to call it with default mean and sigma but not default size.



      Something in my mind is like np.random.lognormal(_,_,2), but this does not work



      Is it possible to do that?







      python numpy arguments






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 13 '18 at 0:00









      Grox NiGrox Ni

      70311




      70311






















          1 Answer
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          Yes, this is possible. Simply provide the argument you want to override:



          np.random.lognormal(size=2)


          This is precisely where named arguments become useful.






          share|improve this answer






















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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2














            Yes, this is possible. Simply provide the argument you want to override:



            np.random.lognormal(size=2)


            This is precisely where named arguments become useful.






            share|improve this answer



























              2














              Yes, this is possible. Simply provide the argument you want to override:



              np.random.lognormal(size=2)


              This is precisely where named arguments become useful.






              share|improve this answer

























                2












                2








                2







                Yes, this is possible. Simply provide the argument you want to override:



                np.random.lognormal(size=2)


                This is precisely where named arguments become useful.






                share|improve this answer













                Yes, this is possible. Simply provide the argument you want to override:



                np.random.lognormal(size=2)


                This is precisely where named arguments become useful.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 13 '18 at 0:07









                Jonah BishopJonah Bishop

                8,88733157




                8,88733157



























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