Cfrgtkky

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?

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()