title: How to make a 3D distribution plot in python?
body: <p>The values of my array having shape (5,5,5) are shown below</p>
  <pre><code>[[[0.51804936, 0.54854341, 0.62379744, 0.75132647, 0.87030085],
  [0.5767205 , 0.6077389 , 0.6853382 , 0.81809529, 0.94254742],
  [0.64918176, 0.68073008, 0.7609385 , 0.89962023, 1.03029907],
  [0.70398397, 0.73582415, 0.81774337, 0.9604222 , 1.09532105],
  [0.73244063, 0.76439439, 0.84711237, 0.99170301, 1.12862763]],
  
  [[0.6274988 , 0.66300493, 0.75121881, 0.90084238, 1.04027528],
  [0.70088766, 0.73777689, 0.83063379, 0.98956605, 1.13836557],
  [0.79145547, 0.82993281, 0.92824228, 1.0981647 , 1.25802683],
  [0.85987499, 0.8994416 , 1.00161658, 1.17939011, 1.34715966],
  [0.89536968, 0.93546261, 1.03955632, 1.22125084, 1.39297153]],
  
  [[0.91811133, 0.96728674, 1.09072546, 1.30026608, 1.49511053],
  [1.02934441, 1.08214935, 1.21622756, 1.44570516, 1.6600324 ],
  [1.16625917, 1.22340482, 1.37031364, 1.62389729, 1.86179138],
  [1.26932269, 1.32961627, 1.48593881, 1.75727458, 2.01253487],
  [1.32263958, 1.38451897, 1.54562736, 1.82601508, 2.09013563]],
  
  [[1.47685504, 1.55243922, 1.7437196 , 2.06835999, 2.36947532],
  [1.6580566 , 1.741413  , 1.95436615, 2.31845002, 2.6575811 ],
  [1.88018015, 1.97291758, 2.21217973, 2.62426583, 3.00970102],
  [2.04645361, 2.14607268, 2.40478683, 2.85248699, 3.27231621],
  [2.13209795, 2.23521027, 2.50385937, 2.96979829, 3.40725752]],
  
  [[2.05339465, 2.15608839, 2.41689513, 2.85930588, 3.26904014],
  [2.30503216, 2.41962964, 2.71309912, 3.21435058, 3.68050602],
  [2.61262368, 2.7416052 , 3.07474522, 3.64764533, 4.18257319],
  [2.84198624, 2.98153152, 3.34401024, 3.97008242, 4.55611689],
  [2.95977227, 3.10468243, 3.48214187, 4.13543676, 4.74766346]]])
  </code></pre>
  <p>My x,y and z axis</p>
  <pre><code>x = np.linspace(0,6,6)   
  y = np.linspace(0,1.075,6)
  z = np.linspace(-1.075,1.075,6)
  </code></pre>
  <p>How can I make a 3d plot with above x, y and z axis where the values in 3d plot are those of given array?</p>