Hide Legend and Scale information on surface plot using pandas, plotly

I am at my wits end but so far did not find any documentation to solve my specific issue. I am using jupyter notebook.

I have two data frames, df1 & df2.

# libraries
import pandas as pd
import numpy as np

import matplotlib.pyplot as plt
import cufflinks as cf
cf.go_offline()
import plotly.graph_objs as go

# df1 & df2
np.random.seed(0)
dates = pd.date_range('20130101',periods=6)

df1 = pd.DataFrame(np.random.randn(6,4),index=dates,columns=list('ABCD'))
df2 = pd.DataFrame(np.random.randn(6,4),index=dates,columns=list('ABCD'))

I have two surface plots:

layout = go.Layout(
    title='Random Numbers',
    autosize=False,
    width=500,
    height=500,
    margin=dict(
        l=65,
        r=50,
        b=65,
        t=90
    )
)

df1.iplot(kind="surface", layout=layout)
df2.iplot(kind="surface", layout=layout)

I have three problems:

1. I need to plot them side by side as in (row = 1 & column = 2).
2. The scale legend is either removed or is shared.
3. The x and y in the axes are removed. I do not need to change them, just get rid of these.

Any help will be appreciated.

I'm sorry if this doesn't answer your question directly but I would suggest using plotly without cufflings.

import plotly

# Define scene which changes the default attributes of the chart
scene = dict(
    xaxis=dict(title=''),
    yaxis=dict(title=''),
    zaxis=dict(title='')
)

# Create 2 empty subplots
fig = plotly.tools.make_subplots(rows=1, cols=2,
                                 specs=[[{'is_3d': True}, {'is_3d': True}]])
# Add df1
fig.append_trace(dict(type='surface', x=df1.index, y=df1.columns, z=df1.as_matrix(), 
                      colorscale='Viridis', scene='scene1', showscale=False), 1, 1)

# Add df2
fig.append_trace(dict(type='surface', x=df2.index, y=df2.columns, z=df2.as_matrix(), 
                      colorscale='RdBu', scene='scene2', showscale=False), 1, 2)

# Set layout and change defaults with scene
fig['layout'].update(title='Random Numbers', height=400, width=800)
fig['layout']['scene1'].update(scene)
fig['layout']['scene2'].update(scene)

# Use plotly offline to display the graph
plotly.offline.plot(fig)

Output:

EDIT:

To answer your third question, you can use .update(scene) to change the axis attributes. Details are in the code above.