2018-01-10-article4

# Set up the color scales
bupu = cl.scales['3']['seq']['BuPu']
colorscale = cl.interp( bupu, 16 )
colorscale.reverse()

# Create the data structure needed for plotly
i=0
data = []

while i < len(test_periods):
    data.append(
        Scatter(
            x=df['returnperiod'],
            y=data_run_list[i],
            name='> ' + str(test_periods[i]*100) + '% (' + str(obs_num_list[i]) + ' obs)',
            marker = dict(
                color = colorscale[i]
            )
        )
    )
    i = i + 1

# Create the layout needed for plotly
layout = Layout(
    title='Average Return After Correction for ' + symbol + ' from ' + usingdatafrom + ' to ' + usingdatato,
    yaxis=dict(title='return'),
    xaxis=dict(title='days after correction')
)

# Create and plot the figure
fig = Figure(data=data, layout=layout)
iplot(fig)