rpy2 how to call as.matrix()












0















I am using rpy2 to call some R function from python. The R function returns a dist object. How do I call as.matrix() from python on the result the R code returns?



import rpy2.robjects.numpy2ri

from rpy2.robjects.packages import importr

rpy2.robjects.numpy2ri.activate()

Rsession = rpy2.robjects.r

tsclust = importr('TSclust')



X= np.random.random((5,5))

result = Rsession.diss( X , "ACF", p=0.05)


result is of the class dist. I would like a square distance matrix, which I can achieve by calling as.matrix() on the result . How do I do this with rpy2?






rpy2







share|improve this question



























    0















    I am using rpy2 to call some R function from python. The R function returns a dist object. How do I call as.matrix() from python on the result the R code returns?



    import rpy2.robjects.numpy2ri
    
from rpy2.robjects.packages import importr
    
rpy2.robjects.numpy2ri.activate()
    
Rsession = rpy2.robjects.r
    
tsclust = importr('TSclust')
    

    
X= np.random.random((5,5))
    
result = Rsession.diss( X , "ACF", p=0.05)


    result is of the class dist. I would like a square distance matrix, which I can achieve by calling as.matrix() on the result . How do I do this with rpy2?






    rpy2







    share|improve this question

























      0












      0








      0








      I am using rpy2 to call some R function from python. The R function returns a dist object. How do I call as.matrix() from python on the result the R code returns?



      import rpy2.robjects.numpy2ri
      
from rpy2.robjects.packages import importr
      
rpy2.robjects.numpy2ri.activate()
      
Rsession = rpy2.robjects.r
      
tsclust = importr('TSclust')
      

      
X= np.random.random((5,5))
      
result = Rsession.diss( X , "ACF", p=0.05)


      result is of the class dist. I would like a square distance matrix, which I can achieve by calling as.matrix() on the result . How do I do this with rpy2?






      rpy2







      share|improve this question














      I am using rpy2 to call some R function from python. The R function returns a dist object. How do I call as.matrix() from python on the result the R code returns?



      import rpy2.robjects.numpy2ri
      
from rpy2.robjects.packages import importr
      
rpy2.robjects.numpy2ri.activate()
      
Rsession = rpy2.robjects.r
      
tsclust = importr('TSclust')
      

      
X= np.random.random((5,5))
      
result = Rsession.diss( X , "ACF", p=0.05)


      result is of the class dist. I would like a square distance matrix, which I can achieve by calling as.matrix() on the result . How do I do this with rpy2?






      rpy2




      rpy2






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 '18 at 18:54









      benbobenbo

      652619




      652619
























          1 Answer
          1






          active

          oldest

          votes


















          0














          I figured out one solution. It's not pretty but it works. We define a custom function that calls as.matrix



          from rpy2.robjects.packages import STAP
          
mfunc = 'myasmatrix <- function(dobj){return(as.matrix(dobj))}'
          
myasmatrix = STAP(mfunc, "myasmatrix")
          

          
np.array(myasmatrix.myasmatrix(rres))
          
>>> array([[0.        , 0.0663193 , 0.01159857, 0.14378692, 0.10069314],
          
   [0.0663193 , 0.        , 0.06064907, 0.07965314, 0.03511945],
          
   [0.01159857, 0.06064907, 0.        , 0.13898505, 0.095319  ],
          
   [0.14378692, 0.07965314, 0.13898505, 0.        , 0.04757353],
          
   [0.10069314, 0.03511945, 0.095319  , 0.04757353, 0.        ]])





          share|improve this answer























            Your Answer






            StackExchange.ifUsing("editor", function () {
            StackExchange.using("externalEditor", function () {
            StackExchange.using("snippets", function () {
            StackExchange.snippets.init();
            });
            });
            }, "code-snippets");

            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "1"
            };
            initTagRenderer("".split(" "), "".split(" "), channelOptions);

            StackExchange.using("externalEditor", function() {
            // Have to fire editor after snippets, if snippets enabled
            if (StackExchange.settings.snippets.snippetsEnabled) {
            StackExchange.using("snippets", function() {
            createEditor();
            });
            }
            else {
            createEditor();
            }
            });

            function createEditor() {
            StackExchange.prepareEditor({
            heartbeatType: 'answer',
            autoActivateHeartbeat: false,
            convertImagesToLinks: true,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: 10,
            bindNavPrevention: true,
            postfix: "",
            imageUploader: {
            brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
            contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
            allowUrls: true
            },
            onDemand: true,
            discardSelector: ".discard-answer"
            ,immediatelyShowMarkdownHelp:true
            });


            }
            });














            draft saved

            draft discarded


















            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53418818%2frpy2-how-to-call-as-matrix%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown

























            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            I figured out one solution. It's not pretty but it works. We define a custom function that calls as.matrix



            from rpy2.robjects.packages import STAP
            
mfunc = 'myasmatrix <- function(dobj){return(as.matrix(dobj))}'
            
myasmatrix = STAP(mfunc, "myasmatrix")
            

            
np.array(myasmatrix.myasmatrix(rres))
            
>>> array([[0.        , 0.0663193 , 0.01159857, 0.14378692, 0.10069314],
            
   [0.0663193 , 0.        , 0.06064907, 0.07965314, 0.03511945],
            
   [0.01159857, 0.06064907, 0.        , 0.13898505, 0.095319  ],
            
   [0.14378692, 0.07965314, 0.13898505, 0.        , 0.04757353],
            
   [0.10069314, 0.03511945, 0.095319  , 0.04757353, 0.        ]])





            share|improve this answer




























              0














              I figured out one solution. It's not pretty but it works. We define a custom function that calls as.matrix



              from rpy2.robjects.packages import STAP
              
mfunc = 'myasmatrix <- function(dobj){return(as.matrix(dobj))}'
              
myasmatrix = STAP(mfunc, "myasmatrix")
              

              
np.array(myasmatrix.myasmatrix(rres))
              
>>> array([[0.        , 0.0663193 , 0.01159857, 0.14378692, 0.10069314],
              
   [0.0663193 , 0.        , 0.06064907, 0.07965314, 0.03511945],
              
   [0.01159857, 0.06064907, 0.        , 0.13898505, 0.095319  ],
              
   [0.14378692, 0.07965314, 0.13898505, 0.        , 0.04757353],
              
   [0.10069314, 0.03511945, 0.095319  , 0.04757353, 0.        ]])





              share|improve this answer


























                0












                0








                0







                I figured out one solution. It's not pretty but it works. We define a custom function that calls as.matrix



                from rpy2.robjects.packages import STAP
                
mfunc = 'myasmatrix <- function(dobj){return(as.matrix(dobj))}'
                
myasmatrix = STAP(mfunc, "myasmatrix")
                

                
np.array(myasmatrix.myasmatrix(rres))
                
>>> array([[0.        , 0.0663193 , 0.01159857, 0.14378692, 0.10069314],
                
   [0.0663193 , 0.        , 0.06064907, 0.07965314, 0.03511945],
                
   [0.01159857, 0.06064907, 0.        , 0.13898505, 0.095319  ],
                
   [0.14378692, 0.07965314, 0.13898505, 0.        , 0.04757353],
                
   [0.10069314, 0.03511945, 0.095319  , 0.04757353, 0.        ]])





                share|improve this answer













                I figured out one solution. It's not pretty but it works. We define a custom function that calls as.matrix



                from rpy2.robjects.packages import STAP
                
mfunc = 'myasmatrix <- function(dobj){return(as.matrix(dobj))}'
                
myasmatrix = STAP(mfunc, "myasmatrix")
                

                
np.array(myasmatrix.myasmatrix(rres))
                
>>> array([[0.        , 0.0663193 , 0.01159857, 0.14378692, 0.10069314],
                
   [0.0663193 , 0.        , 0.06064907, 0.07965314, 0.03511945],
                
   [0.01159857, 0.06064907, 0.        , 0.13898505, 0.095319  ],
                
   [0.14378692, 0.07965314, 0.13898505, 0.        , 0.04757353],
                
   [0.10069314, 0.03511945, 0.095319  , 0.04757353, 0.        ]])






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 21 '18 at 19:05









                benbobenbo

                652619




                652619
































                    draft saved

                    draft discarded




















































                    Thanks for contributing an answer to Stack Overflow!


                    • Please be sure to answer the question. Provide details and share your research!

                    But avoid …



                    • Asking for help, clarification, or responding to other answers.

                    • Making statements based on opinion; back them up with references or personal experience.


                    To learn more, see our tips on writing great answers.




                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53418818%2frpy2-how-to-call-as-matrix%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest















                    Required, but never shown





















































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown

































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown







                    -

                    這個網誌中的熱門文章

                    Xamarin.form Move up view when keyboard appear

                    圖片
                    .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box; } 0 I'm trying to build a Chat app UI, the idea of the Layout was pretty simple: When the input bar is focused, keyboard show up and "push" up the chat bar, as it's a grid, the ListView will resize to fit the screen: I update the input bar's margin to "push" it up: NSValue result = (NSValue)args.Notification.UserInfo.ObjectForKey(new NSString(UIKeyboard.FrameEndUserInfoKey)); CGSize keyboardSize = result.RectangleFValue.Size; if (Element != null){ Element.Margin = new Thickness(0, 0, 0,keyboardSize.Height); //push the entry up to keyboard height when keyboard is activated } And this is ...
                    閱讀完整內容

                    Post-Redirect-Get with Spring WebFlux and Thymeleaf

                    圖片
                    .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box; } 2 Can someone explain to me how to implement the post-redirect-get pattern in Spring WebFlux and Thymeleaf? What subscribes on the database save method? @GetMapping("/register") public String showRegisterForm(Model model) { model.addAttribute("user", new User()); return "register"; } @PostMapping public String processRegisterForm(@Valid User user, BindingResult bindingResult) { if (bindingResult.hasErrors()) { return "register"; } else { userRepository.save(user); //what subscribes on this? //how to redirect on e.g. "/login"? ...
                    閱讀完整內容

                    Anylogic : not able to use stopDelay()

                    圖片
                    -2 I am building a railway station model. I want a train to depart when I click a button. I want to call stopDelay() for that but I am not sure how to do that and from which place. anylogic share | improve this question asked Nov 23 '18 at 10:12 Anupam Singh Anupam Singh 1 Hi Anupam, welcome to SOF. Please check how to ask good questions, see link below. Your question is...
                    閱讀完整內容