Python: Plotly: Parallel Coordinates Opacity

Im trying to do a parallel coordinate plot. I want the color of the lines black, but with an opacity so that lines which overlap are darker than the rest. Is it possible to set an opcaity to the color in the example of plotly parallel coordinates ?

import plotly.plotly as py
import plotly.graph_objs as go

import pandas as pd 

df = pd.read_csv("https://raw.githubusercontent.com/bcdunbar/datasets/master/parcoords_data.csv")

data = [
    go.Parcoords(
        line = dict(color = df['colorVal'],
                   colorscale = 'Jet',
                   showscale = True,
                   reversescale = True,
                   cmin = -4000,
                   cmax = -100),
        dimensions = list([
            dict(range = [32000,227900],
                 constraintrange = [100000,150000],
                 label = 'Block Height', values = df['blockHeight']),
            dict(range = [0,700000],
                 label = 'Block Width', values = df['blockWidth']),
            dict(tickvals = [0,0.5,1,2,3],
                 ticktext = ['A','AB','B','Y','Z'],
                 label = 'Cyclinder Material', values = df['cycMaterial']),
            dict(range = [-1,4],
                 tickvals = [0,1,2,3],
                 label = 'Block Material', values = df['blockMaterial']),
            dict(range = [134,3154],
                 visible = True,
                 label = 'Total Weight', values = df['totalWeight']),
            dict(range = [9,19984],
                 label = 'Assembly Penalty Weight', values = df['assemblyPW']),
            dict(range = [49000,568000],
                 label = 'Height st Width', values = df['HstW']),
            dict(range = [-28000,196430],
                 label = 'Min Height Width', values = df['minHW']),
            dict(range = [98453,501789],
                 label = 'Min Width Diameter', values = df['minWD']),
            dict(range = [1417,107154],
                 label = 'RF Block', values = df['rfBlock'])
        ])
    )
]

py.offline.plot(data, filename = 'parcoords-advanced')