How can I find maximum in a multidimensional numpy array?











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I have a numpy array of these dimensions



data.shape

(categories, models, types, events, days) ->  (10, 11, 50, 100, 14)


I want to calculate the absolute maximum value in each models. I am doing this:



np.max(data, axis=(2,3,4))


I have a (10,11) shape array after this. But I am not sure if this is correct.



Is this the correct way to do this or is there another way?



Please note that I want the maximum in each model and not the maximum across models.






python arrays numpy







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  • 1




    If you don't know whether or not the output is correct, then you do not yet have a Stack Overflow question. Yes, the shape is correct: you have 11 models in each of 10 categories. However, you should check the operation of this technique with a smaller array, so you can easily verify the results.
    – Prune
    Nov 7 at 23:17















up vote
-1
down vote

favorite












I have a numpy array of these dimensions



data.shape

(categories, models, types, events, days) ->  (10, 11, 50, 100, 14)


I want to calculate the absolute maximum value in each models. I am doing this:



np.max(data, axis=(2,3,4))


I have a (10,11) shape array after this. But I am not sure if this is correct.



Is this the correct way to do this or is there another way?



Please note that I want the maximum in each model and not the maximum across models.






python arrays numpy







share|improve this question


















  • 1




    If you don't know whether or not the output is correct, then you do not yet have a Stack Overflow question. Yes, the shape is correct: you have 11 models in each of 10 categories. However, you should check the operation of this technique with a smaller array, so you can easily verify the results.
    – Prune
    Nov 7 at 23:17













up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











I have a numpy array of these dimensions



data.shape

(categories, models, types, events, days) ->  (10, 11, 50, 100, 14)


I want to calculate the absolute maximum value in each models. I am doing this:



np.max(data, axis=(2,3,4))


I have a (10,11) shape array after this. But I am not sure if this is correct.



Is this the correct way to do this or is there another way?



Please note that I want the maximum in each model and not the maximum across models.






python arrays numpy







share|improve this question













I have a numpy array of these dimensions



data.shape

(categories, models, types, events, days) ->  (10, 11, 50, 100, 14)


I want to calculate the absolute maximum value in each models. I am doing this:



np.max(data, axis=(2,3,4))


I have a (10,11) shape array after this. But I am not sure if this is correct.



Is this the correct way to do this or is there another way?



Please note that I want the maximum in each model and not the maximum across models.






python arrays numpy




python arrays numpy






share|improve this question













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asked Nov 7 at 22:56









maximusdooku

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1,38821343








  • 1




    If you don't know whether or not the output is correct, then you do not yet have a Stack Overflow question. Yes, the shape is correct: you have 11 models in each of 10 categories. However, you should check the operation of this technique with a smaller array, so you can easily verify the results.
    – Prune
    Nov 7 at 23:17














  • 1




    If you don't know whether or not the output is correct, then you do not yet have a Stack Overflow question. Yes, the shape is correct: you have 11 models in each of 10 categories. However, you should check the operation of this technique with a smaller array, so you can easily verify the results.
    – Prune
    Nov 7 at 23:17








1




1




If you don't know whether or not the output is correct, then you do not yet have a Stack Overflow question. Yes, the shape is correct: you have 11 models in each of 10 categories. However, you should check the operation of this technique with a smaller array, so you can easily verify the results.
– Prune
Nov 7 at 23:17




If you don't know whether or not the output is correct, then you do not yet have a Stack Overflow question. Yes, the shape is correct: you have 11 models in each of 10 categories. However, you should check the operation of this technique with a smaller array, so you can easily verify the results.
– Prune
Nov 7 at 23:17

















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