3D plot from multiple arrays

I have successfully plotted a 2d scatter plot:

x = np.asarray(plot_data[0])#time variable
y = np.asarray(plot_data[1])#address variable


fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.scatter(x,y, s=1, c=u'b', edgecolor='None',alpha=.75)
ax1.set_xlabel('Time')
ax1.set_ylabel('Address')
ax1.set_title('Memory Accesses')
ax1.plot()

      

        
        
        
      

    

I want to add a third dimension as hits / interval and worked out this:

time_axis= np.arange(60)
address_axis=np.arange(0x80000)
data = np.zeros((60, 0x80000))

for i in range(len(plot_data[0])):
    if (plot_data[0][i]//interval) == 60:
        i = 59
    data[plot_data[0][i]//interval][plot_data[1][i]]+=1

      

        
        
        
      

    

I can plot each segment of the address successfully to see that it has summed up the total hits for a given interval, but every format I've tried to get a 3D plot to work with hasn't been successful. Hoping that someone knows how I formatted my arrays incorrectly.

3D attempt

time_axis= np.arange(60)
address_axis=np.arange(0x80000)

fig = plt.figure()
ax = fig.gca(projection='3d')


time_axis, address_axis = np.meshgrid(time_axis, address_axis)
Z = data[time_axis][address_axis]

      

        
        
        
      

    

results in memory error

try converting to a scatter plot:

for i in range(60):
    for j in range(0x80000):
        z_array.append(data[i][j])
        x_array.append(i)
        y_array.append(j)

 x = np.asarray(x_array)
 y = np.asarray(y_array)
 z = np.asarray(z_array)

 fig = plt.figure()
 ax = fig.add_subplot(111, projection='3d')
 ax.scatter(x, y, z)

      

        
        
        
      

    

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