Plot 2D array of (x,y,z) points in 3D space (Matplotlib)












0















I'm a beginner in Python and specially in Matplotlib. I have a 22797x3 array, built from a multiplication between two other arrays, one 22797x400 long and the other 400x3 long. In the resulted array (22797x3),each line represents a point with (x,y,z) coordinates, hence the 3 columns. How could I plot that resulted array in a 3D surface, where I can see all the 22797 points spread in 3D space? This data is for future Kmeans clustering, so I need to visualise it.



So far I've tried:



import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

#building the 22797x3 array:


#loading the first array from .txt file, 22797x400 long.
array = np.loadtxt('C:UsersScripts/final_array.txt', usecols=range(400))
array = np.float32(array)

#loading the second array from .txt file, 400x3 long.
small_vh2 = np.loadtxt('C:UsersScripts/small_vh2.txt', usecols=range(3))
small_vh2 = np.float32(small_vh2)

#multiplying and getting result array 22797x3 long:

Y = np.array(np.matmul(array,small_vh2))
#I've checked Y dimensions, it's 22797x3 long, working fine.

#now I must plot it in 3D:
fig = plt.figure()

ax = Axes3D(fig)
ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2])

plt.show()


I keep getting the result shown in the image below:



https://i.stack.imgur.com/jRyHM.jpg



What I need is to get is the 22797 points, and I keep getting only 4 points plotted. Does anybody know what is wrong with the code?










share|improve this question





























    0















    I'm a beginner in Python and specially in Matplotlib. I have a 22797x3 array, built from a multiplication between two other arrays, one 22797x400 long and the other 400x3 long. In the resulted array (22797x3),each line represents a point with (x,y,z) coordinates, hence the 3 columns. How could I plot that resulted array in a 3D surface, where I can see all the 22797 points spread in 3D space? This data is for future Kmeans clustering, so I need to visualise it.



    So far I've tried:



    import numpy as np
    from matplotlib import pyplot as plt
    from mpl_toolkits.mplot3d import Axes3D

    #building the 22797x3 array:


    #loading the first array from .txt file, 22797x400 long.
    array = np.loadtxt('C:UsersScripts/final_array.txt', usecols=range(400))
    array = np.float32(array)

    #loading the second array from .txt file, 400x3 long.
    small_vh2 = np.loadtxt('C:UsersScripts/small_vh2.txt', usecols=range(3))
    small_vh2 = np.float32(small_vh2)

    #multiplying and getting result array 22797x3 long:

    Y = np.array(np.matmul(array,small_vh2))
    #I've checked Y dimensions, it's 22797x3 long, working fine.

    #now I must plot it in 3D:
    fig = plt.figure()

    ax = Axes3D(fig)
    ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2])

    plt.show()


    I keep getting the result shown in the image below:



    https://i.stack.imgur.com/jRyHM.jpg



    What I need is to get is the 22797 points, and I keep getting only 4 points plotted. Does anybody know what is wrong with the code?










    share|improve this question



























      0












      0








      0








      I'm a beginner in Python and specially in Matplotlib. I have a 22797x3 array, built from a multiplication between two other arrays, one 22797x400 long and the other 400x3 long. In the resulted array (22797x3),each line represents a point with (x,y,z) coordinates, hence the 3 columns. How could I plot that resulted array in a 3D surface, where I can see all the 22797 points spread in 3D space? This data is for future Kmeans clustering, so I need to visualise it.



      So far I've tried:



      import numpy as np
      from matplotlib import pyplot as plt
      from mpl_toolkits.mplot3d import Axes3D

      #building the 22797x3 array:


      #loading the first array from .txt file, 22797x400 long.
      array = np.loadtxt('C:UsersScripts/final_array.txt', usecols=range(400))
      array = np.float32(array)

      #loading the second array from .txt file, 400x3 long.
      small_vh2 = np.loadtxt('C:UsersScripts/small_vh2.txt', usecols=range(3))
      small_vh2 = np.float32(small_vh2)

      #multiplying and getting result array 22797x3 long:

      Y = np.array(np.matmul(array,small_vh2))
      #I've checked Y dimensions, it's 22797x3 long, working fine.

      #now I must plot it in 3D:
      fig = plt.figure()

      ax = Axes3D(fig)
      ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2])

      plt.show()


      I keep getting the result shown in the image below:



      https://i.stack.imgur.com/jRyHM.jpg



      What I need is to get is the 22797 points, and I keep getting only 4 points plotted. Does anybody know what is wrong with the code?










      share|improve this question
















      I'm a beginner in Python and specially in Matplotlib. I have a 22797x3 array, built from a multiplication between two other arrays, one 22797x400 long and the other 400x3 long. In the resulted array (22797x3),each line represents a point with (x,y,z) coordinates, hence the 3 columns. How could I plot that resulted array in a 3D surface, where I can see all the 22797 points spread in 3D space? This data is for future Kmeans clustering, so I need to visualise it.



      So far I've tried:



      import numpy as np
      from matplotlib import pyplot as plt
      from mpl_toolkits.mplot3d import Axes3D

      #building the 22797x3 array:


      #loading the first array from .txt file, 22797x400 long.
      array = np.loadtxt('C:UsersScripts/final_array.txt', usecols=range(400))
      array = np.float32(array)

      #loading the second array from .txt file, 400x3 long.
      small_vh2 = np.loadtxt('C:UsersScripts/small_vh2.txt', usecols=range(3))
      small_vh2 = np.float32(small_vh2)

      #multiplying and getting result array 22797x3 long:

      Y = np.array(np.matmul(array,small_vh2))
      #I've checked Y dimensions, it's 22797x3 long, working fine.

      #now I must plot it in 3D:
      fig = plt.figure()

      ax = Axes3D(fig)
      ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2])

      plt.show()


      I keep getting the result shown in the image below:



      https://i.stack.imgur.com/jRyHM.jpg



      What I need is to get is the 22797 points, and I keep getting only 4 points plotted. Does anybody know what is wrong with the code?







      numpy matplotlib mplot3d






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      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 15:01







      L'utilisatrice

















      asked Nov 14 '18 at 14:31









      L'utilisatriceL'utilisatrice

      88119




      88119
























          1 Answer
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          from mpl_toolkits.mplot3d import Axes3D
          import numpy as np
          from matplotlib import pyplot as plt

          # made 2 random arrays of the same size as yours
          array = np.random.rand(22797, 400)
          small_vh2 = np.random.rand(400,3)
          Y = np.matmul(array,small_vh2)

          #now I must plot it in 3D:
          fig = plt.figure()
          ax = fig.add_subplot(111, projection='3d')

          ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2], alpha = 0.1)
          ax.set_xlabel('X Label')
          ax.set_ylabel('Y Label')
          ax.set_zlabel('Z Label')

          plt.show()


          enter image description here






          share|improve this answer
























          • Thank you very very much!!!

            – L'utilisatrice
            Nov 14 '18 at 21:39











          • @L'utilisatrice you are welcome.

            – anotherone
            Nov 15 '18 at 8:53











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          1 Answer
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          1 Answer
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          active

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          active

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          active

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          0














          from mpl_toolkits.mplot3d import Axes3D
          import numpy as np
          from matplotlib import pyplot as plt

          # made 2 random arrays of the same size as yours
          array = np.random.rand(22797, 400)
          small_vh2 = np.random.rand(400,3)
          Y = np.matmul(array,small_vh2)

          #now I must plot it in 3D:
          fig = plt.figure()
          ax = fig.add_subplot(111, projection='3d')

          ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2], alpha = 0.1)
          ax.set_xlabel('X Label')
          ax.set_ylabel('Y Label')
          ax.set_zlabel('Z Label')

          plt.show()


          enter image description here






          share|improve this answer
























          • Thank you very very much!!!

            – L'utilisatrice
            Nov 14 '18 at 21:39











          • @L'utilisatrice you are welcome.

            – anotherone
            Nov 15 '18 at 8:53
















          0














          from mpl_toolkits.mplot3d import Axes3D
          import numpy as np
          from matplotlib import pyplot as plt

          # made 2 random arrays of the same size as yours
          array = np.random.rand(22797, 400)
          small_vh2 = np.random.rand(400,3)
          Y = np.matmul(array,small_vh2)

          #now I must plot it in 3D:
          fig = plt.figure()
          ax = fig.add_subplot(111, projection='3d')

          ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2], alpha = 0.1)
          ax.set_xlabel('X Label')
          ax.set_ylabel('Y Label')
          ax.set_zlabel('Z Label')

          plt.show()


          enter image description here






          share|improve this answer
























          • Thank you very very much!!!

            – L'utilisatrice
            Nov 14 '18 at 21:39











          • @L'utilisatrice you are welcome.

            – anotherone
            Nov 15 '18 at 8:53














          0












          0








          0







          from mpl_toolkits.mplot3d import Axes3D
          import numpy as np
          from matplotlib import pyplot as plt

          # made 2 random arrays of the same size as yours
          array = np.random.rand(22797, 400)
          small_vh2 = np.random.rand(400,3)
          Y = np.matmul(array,small_vh2)

          #now I must plot it in 3D:
          fig = plt.figure()
          ax = fig.add_subplot(111, projection='3d')

          ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2], alpha = 0.1)
          ax.set_xlabel('X Label')
          ax.set_ylabel('Y Label')
          ax.set_zlabel('Z Label')

          plt.show()


          enter image description here






          share|improve this answer













          from mpl_toolkits.mplot3d import Axes3D
          import numpy as np
          from matplotlib import pyplot as plt

          # made 2 random arrays of the same size as yours
          array = np.random.rand(22797, 400)
          small_vh2 = np.random.rand(400,3)
          Y = np.matmul(array,small_vh2)

          #now I must plot it in 3D:
          fig = plt.figure()
          ax = fig.add_subplot(111, projection='3d')

          ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2], alpha = 0.1)
          ax.set_xlabel('X Label')
          ax.set_ylabel('Y Label')
          ax.set_zlabel('Z Label')

          plt.show()


          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 14 '18 at 20:44









          anotheroneanotherone

          409417




          409417













          • Thank you very very much!!!

            – L'utilisatrice
            Nov 14 '18 at 21:39











          • @L'utilisatrice you are welcome.

            – anotherone
            Nov 15 '18 at 8:53



















          • Thank you very very much!!!

            – L'utilisatrice
            Nov 14 '18 at 21:39











          • @L'utilisatrice you are welcome.

            – anotherone
            Nov 15 '18 at 8:53

















          Thank you very very much!!!

          – L'utilisatrice
          Nov 14 '18 at 21:39





          Thank you very very much!!!

          – L'utilisatrice
          Nov 14 '18 at 21:39













          @L'utilisatrice you are welcome.

          – anotherone
          Nov 15 '18 at 8:53





          @L'utilisatrice you are welcome.

          – anotherone
          Nov 15 '18 at 8:53




















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