plot.py

# setting up the layout of matplotlib figure
fig, ax = plt.subplots()

# use the distplot function from seaborn to plot the distribution of AAPL
sns.distplot(AAPL['Daily Return'].dropna(), color = 'indianred', 
             hist_kws=dict(alpha = 0.7))

# remove the plot borders
sns.despine()

#get the plotly json object
fig = plotly.tools.mpl_to_plotly(fig)

# polish the histogram plot
fig['data'][1]['marker']['line']['color'] = 'white'
fig['data'][1]['marker']['line']['width'] = 1

# controlling the size of the figure and adding title
fig['layout'].update(title = "AAPL Daily Return Distribution",
                     width = 850, height = 450,
                     xaxis = dict(showgrid=False))