How to force histogram plots to have same axes?

Multi tool use
Multi tool use












1












$begingroup$


I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figureenter image description here.For instance to plot the error histogram of every method,I tried this code:



% Matlab code

Targets=Actual;

Outputs=Predicted_by_model;

errors=Targets-Outputs;

error_std=std(errors);

MAPE=mean(abs(Targets-Outputs)./Targets)*100;

histfit(errors);

legend('Proposed')

title(['MAPE = ' num2str(MAPE) '  ,    Error St.D. = ' num2str(error_std)]))


How to keep axis of every method to the same value.






machine-learning neural-network plotting matplotlib historgram







share|improve this question











$endgroup$

















    1












    $begingroup$


    I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figureenter image description here.For instance to plot the error histogram of every method,I tried this code:



    % Matlab code
    
Targets=Actual;
    
Outputs=Predicted_by_model;
    
errors=Targets-Outputs;
    
error_std=std(errors);
    
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
    
histfit(errors);
    
legend('Proposed')
    
title(['MAPE = ' num2str(MAPE) '  ,    Error St.D. = ' num2str(error_std)]))


    How to keep axis of every method to the same value.






    machine-learning neural-network plotting matplotlib historgram







    share|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figureenter image description here.For instance to plot the error histogram of every method,I tried this code:



      % Matlab code
      
Targets=Actual;
      
Outputs=Predicted_by_model;
      
errors=Targets-Outputs;
      
error_std=std(errors);
      
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
      
histfit(errors);
      
legend('Proposed')
      
title(['MAPE = ' num2str(MAPE) '  ,    Error St.D. = ' num2str(error_std)]))


      How to keep axis of every method to the same value.






      machine-learning neural-network plotting matplotlib historgram







      share|improve this question











      $endgroup$




      I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figureenter image description here.For instance to plot the error histogram of every method,I tried this code:



      % Matlab code
      
Targets=Actual;
      
Outputs=Predicted_by_model;
      
errors=Targets-Outputs;
      
error_std=std(errors);
      
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
      
histfit(errors);
      
legend('Proposed')
      
title(['MAPE = ' num2str(MAPE) '  ,    Error St.D. = ' num2str(error_std)]))


      How to keep axis of every method to the same value.






      machine-learning neural-network plotting matplotlib historgram




      machine-learning neural-network plotting matplotlib historgram






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 2 mins ago







      Case Msee

















      asked 11 mins ago









      Case MseeCase Msee

      4451712




      4451712






















          0






          active

          oldest

          votes











          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "557"
          };
          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: false,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: null,
          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%2fdatascience.stackexchange.com%2fquestions%2f48122%2fhow-to-force-histogram-plots-to-have-same-axes%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          0






          active

          oldest

          votes








          0






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Data Science Stack Exchange!


          • 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.


          Use MathJax to format equations. MathJax reference.


          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%2fdatascience.stackexchange.com%2fquestions%2f48122%2fhow-to-force-histogram-plots-to-have-same-axes%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







          LwHzn2zE30a 3OA WpDY 4pH2tw7XYsQaiWf3HeqstGBW,9QoWl
          -
          3RN2uW57EIhHc,ZVFuwOzYFmcYTrFX uZ064YDqDkHYmTh3 ah6Aq6HL FewpIX4ZsaDP4D6c2gwFc rHfM,lJwyJBFx

          Popular posts from this blog

          Tabula Rosettana

          Image
          Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
          Read more

          How to label and detect the document text images

          Image
          1 $begingroup$ This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
          Read more

          LSTM sequence prediction: 3d input to 2d output

          Image
          1 $begingroup$ I have this LSTM model model = Sequential() model.add(Masking(mask_value=0, input_shape=(timesteps, features))) model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=False)) model.add(Dense(features, activation='softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) and shapes X_train (21, 11, 5), y_train (21, 5) . Each timestep is represented by 5 features and return_sequences is set to False because I want to predict one 5D array (the next timestep) for each input sequence of 11 timesteps. I get the error ValueError: y_true and y_pred have different number of output (5!=1) If I reshape the data as X_train (21, 11, 5), y_train (21, 1, 5) instead I get the error ValueError: Inva...
          Read more