getting index of nan values in numpy array









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Getting the index of nan values from where condition and passing it to original array but it is returning empty



#Input
url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
iris_2d = np.genfromtxt(url, delimiter = ',', dtype = 'float')# random number from 0 to 150 as high is none
iris_2d[np.random.randint(150, size = 20), np.random.randint(4, size = 20)] = np.nan


( iris_2d[np.where(iris_2d[a,b]==np.nan)])





python-3.x numpy







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  • By definition nan!=nan which is why your code does not work.
    – Paul Panzer
    23 hours ago










  • thank you i know now.
    – Rajneesh Master
    22 hours ago














up vote
0
down vote

favorite












Getting the index of nan values from where condition and passing it to original array but it is returning empty



#Input
url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
iris_2d = np.genfromtxt(url, delimiter = ',', dtype = 'float')# random number from 0 to 150 as high is none
iris_2d[np.random.randint(150, size = 20), np.random.randint(4, size = 20)] = np.nan


( iris_2d[np.where(iris_2d[a,b]==np.nan)])





python-3.x numpy







share|improve this question























  • By definition nan!=nan which is why your code does not work.
    – Paul Panzer
    23 hours ago










  • thank you i know now.
    – Rajneesh Master
    22 hours ago












up vote
0
down vote

favorite









up vote
0
down vote

favorite











Getting the index of nan values from where condition and passing it to original array but it is returning empty



#Input
url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
iris_2d = np.genfromtxt(url, delimiter = ',', dtype = 'float')# random number from 0 to 150 as high is none
iris_2d[np.random.randint(150, size = 20), np.random.randint(4, size = 20)] = np.nan


( iris_2d[np.where(iris_2d[a,b]==np.nan)])





python-3.x numpy







share|improve this question















Getting the index of nan values from where condition and passing it to original array but it is returning empty



#Input
url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
iris_2d = np.genfromtxt(url, delimiter = ',', dtype = 'float')# random number from 0 to 150 as high is none
iris_2d[np.random.randint(150, size = 20), np.random.randint(4, size = 20)] = np.nan


( iris_2d[np.where(iris_2d[a,b]==np.nan)])





python-3.x numpy




python-3.x numpy






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edited 22 hours ago









Xatyrian

786320




786320










asked yesterday









Rajneesh Master

53




53











  • By definition nan!=nan which is why your code does not work.
    – Paul Panzer
    23 hours ago










  • thank you i know now.
    – Rajneesh Master
    22 hours ago
















  • By definition nan!=nan which is why your code does not work.
    – Paul Panzer
    23 hours ago










  • thank you i know now.
    – Rajneesh Master
    22 hours ago















By definition nan!=nan which is why your code does not work.
– Paul Panzer
23 hours ago




By definition nan!=nan which is why your code does not work.
– Paul Panzer
23 hours ago












thank you i know now.
– Rajneesh Master
22 hours ago




thank you i know now.
– Rajneesh Master
22 hours ago












1 Answer
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0
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I downloaded the data from the url that you mentioned, and saved it as 'iris_data.txt'. Try the following code. It gives you indices of nan in the numpy array iris_2d.



import numpy as np

iris_2d = np.genfromtxt('iris_data.txt', delimiter = ',', dtype = 'float')

nan_indx = np.argwhere(np.isnan(iris_2d))

print nan_indx.shape
print " " 
print nan_indx[0:5,:]


Output: 



(150, 2)

[[0 4]
 [1 4]
 [2 4]
 [3 4]
 [4 4]]





share|improve this answer








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    1 Answer
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    active

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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

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    active

    oldest

    votes








    up vote
    0
    down vote



    accepted










    I downloaded the data from the url that you mentioned, and saved it as 'iris_data.txt'. Try the following code. It gives you indices of nan in the numpy array iris_2d.



    import numpy as np

    iris_2d = np.genfromtxt('iris_data.txt', delimiter = ',', dtype = 'float')

    nan_indx = np.argwhere(np.isnan(iris_2d))

    print nan_indx.shape
    print " " 
    print nan_indx[0:5,:]


    Output: 



    (150, 2)

    [[0 4]
     [1 4]
     [2 4]
     [3 4]
     [4 4]]





    share|improve this answer








    New contributor




    Siddharth Satpathy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.





















      up vote
      0
      down vote



      accepted










      I downloaded the data from the url that you mentioned, and saved it as 'iris_data.txt'. Try the following code. It gives you indices of nan in the numpy array iris_2d.



      import numpy as np

      iris_2d = np.genfromtxt('iris_data.txt', delimiter = ',', dtype = 'float')

      nan_indx = np.argwhere(np.isnan(iris_2d))

      print nan_indx.shape
      print " " 
      print nan_indx[0:5,:]


      Output: 



      (150, 2)

      [[0 4]
       [1 4]
       [2 4]
       [3 4]
       [4 4]]





      share|improve this answer








      New contributor




      Siddharth Satpathy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.



















        up vote
        0
        down vote



        accepted







        up vote
        0
        down vote



        accepted






        I downloaded the data from the url that you mentioned, and saved it as 'iris_data.txt'. Try the following code. It gives you indices of nan in the numpy array iris_2d.



        import numpy as np

        iris_2d = np.genfromtxt('iris_data.txt', delimiter = ',', dtype = 'float')

        nan_indx = np.argwhere(np.isnan(iris_2d))

        print nan_indx.shape
        print " " 
        print nan_indx[0:5,:]


        Output: 



        (150, 2)

        [[0 4]
         [1 4]
         [2 4]
         [3 4]
         [4 4]]





        share|improve this answer








        New contributor




        Siddharth Satpathy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.









        I downloaded the data from the url that you mentioned, and saved it as 'iris_data.txt'. Try the following code. It gives you indices of nan in the numpy array iris_2d.



        import numpy as np

        iris_2d = np.genfromtxt('iris_data.txt', delimiter = ',', dtype = 'float')

        nan_indx = np.argwhere(np.isnan(iris_2d))

        print nan_indx.shape
        print " " 
        print nan_indx[0:5,:]


        Output: 



        (150, 2)

        [[0 4]
         [1 4]
         [2 4]
         [3 4]
         [4 4]]






        share|improve this answer








        New contributor




        Siddharth Satpathy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.









        share|improve this answer



        share|improve this answer






        New contributor




        Siddharth Satpathy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.









        answered 23 hours ago









        Siddharth Satpathy

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        264




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        Siddharth Satpathy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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