How can I plot/display a dataset or an image distribution?












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I want to view a specific image or a dataset's distribution, and see if they are different.

Does simply writing something like :



plt.hist(mydataset.reshape(-1))


do the trick? or should I be doing something else?
for example doing so on cifar10 gave me this plot :
enter image description here



However, it doesn't look right, there are 50K training images, and I don't know how to interpret this or even if it is the correct way of doing it in first place!









share









$endgroup$

















    0












    $begingroup$


    I want to view a specific image or a dataset's distribution, and see if they are different.

    Does simply writing something like :



    plt.hist(mydataset.reshape(-1))


    do the trick? or should I be doing something else?
    for example doing so on cifar10 gave me this plot :
    enter image description here



    However, it doesn't look right, there are 50K training images, and I don't know how to interpret this or even if it is the correct way of doing it in first place!









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I want to view a specific image or a dataset's distribution, and see if they are different.

      Does simply writing something like :



      plt.hist(mydataset.reshape(-1))


      do the trick? or should I be doing something else?
      for example doing so on cifar10 gave me this plot :
      enter image description here



      However, it doesn't look right, there are 50K training images, and I don't know how to interpret this or even if it is the correct way of doing it in first place!









      share









      $endgroup$




      I want to view a specific image or a dataset's distribution, and see if they are different.

      Does simply writing something like :



      plt.hist(mydataset.reshape(-1))


      do the trick? or should I be doing something else?
      for example doing so on cifar10 gave me this plot :
      enter image description here



      However, it doesn't look right, there are 50K training images, and I don't know how to interpret this or even if it is the correct way of doing it in first place!







      python distribution matplotlib image





      share












      share










      share



      share










      asked 5 mins ago









      BreezeBreeze

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