plotly: 3D plotting returns a figure with no datapoints

Question

Trying to plot results from K-means clustering using 3D plot (Plotly). There is a blank figure generated in the HTML when I use the below code. I printed the variables scatter 1,2,3 and also the cluster 1,2,3 and values are shown. Is there a plt.show() like in matplotlib in plotly to show the values in the graph?

import pandas as pd
import numpy as np
import argparse
import json
import re
import os
import sys
import plotly
import plotly.graph_objs as go

cluster1=df.loc[df['y'] == 0]
cluster2=df.loc[df['y'] == 1]
cluster3=df.loc[df['y'] == 2]

scatter1 = dict(
    mode = "markers",
    name = "Cluster 1",
    type = "scatter3d",    
    x = cluster1.as_matrix()[:,0], y = cluster1.as_matrix()[:,1], z = cluster1.as_matrix()[:,2],
    marker = dict( size=2, color='green')
)
scatter2 = dict(
    mode = "markers",
    name = "Cluster 2",
    type = "scatter3d",    
    x = cluster2.as_matrix()[:,0], y = cluster2.as_matrix()[:,1], z = cluster2.as_matrix()[:,2],
    marker = dict( size=2, color='blue')
)
scatter3 = dict(
    mode = "markers",
    name = "Cluster 3",
    type = "scatter3d",    
    x = cluster3.as_matrix()[:,0], y = cluster3.as_matrix()[:,1], z = cluster3.as_matrix()[:,2],
    marker = dict( size=2, color='red')
)
cluster1 = dict(
    alphahull = 5,
    name = "Cluster 1",
    opacity = .1,
    type = "mesh3d",    
    x = cluster1.as_matrix()[:,0], y = cluster1.as_matrix()[:,1], z = cluster1.as_matrix()[:,2],
    color='green', showscale = True
)
cluster2 = dict(
    alphahull = 5,
    name = "Cluster 2",
    opacity = .1,
    type = "mesh3d",    
    x = cluster2.as_matrix()[:,0], y = cluster2.as_matrix()[:,1], z = cluster2.as_matrix()[:,2],
    color='blue', showscale = True
)
cluster3 = dict(
    alphahull = 5,
    name = "Cluster 3",
    opacity = .1,
    type = "mesh3d",    
    x = cluster3.as_matrix()[:,0], y = cluster3.as_matrix()[:,1], z = cluster3.as_matrix()[:,2],
    color='red', showscale = True
)
layout = dict(
    title = 'Interactive Cluster Shapes in 3D',
    scene = dict(
        xaxis = dict(zeroline=True ),
        yaxis = dict(zeroline=True ),
        zaxis = dict(zeroline=True ),
    )
)
fig = dict(data=[scatter1, scatter2, scatter3, cluster1, cluster2, cluster3], layout=layout )
# Use py.iplot() for IPython notebook
plotly.offline.iplot(fig, filename='mesh3d_sample.html')

#py.iplot(fig, filename='mesh3d_sample')

HTML with just the axis and no data points displayed