Show Sidebar Hide Sidebar

Ribbon Plots in Python

How to make ribbon plots in Python.

New to Plotly?

Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Basic Ribbon Plot

In [2]:
import plotly.plotly as py
import plotly.graph_objs as go

import urllib
import numpy as np

url = "https://raw.githubusercontent.com/plotly/datasets/master/spectral.csv"
f = urllib.urlopen(url)
spectra=np.loadtxt(f, delimiter=',')

traces = []
y_raw = spectra[:, 0] # wavelength
sample_size = spectra.shape[1]-1 
for i in range(1, sample_size):
    z_raw = spectra[:, i]
    x = []
    y = []
    z = []
    ci = int(255/sample_size*i) # ci = "color index"
    for j in range(0, len(z_raw)):
        z.append([z_raw[j], z_raw[j]])
        y.append([y_raw[j], y_raw[j]])
        x.append([i*2, i*2+1])
    traces.append(dict(
        z=z,
        x=x,
        y=y,
        colorscale=[ [i, 'rgb(%d,%d,255)'%(ci, ci)] for i in np.arange(0,1.1,0.1) ],
        showscale=False,
        type='surface',
    ))

fig = { 'data':traces, 'layout':{'title':'Ribbon Plot'} }
py.iplot(fig, filename='ribbon-plot-python')
Out[2]:

Reference

See https://plot.ly/python/reference/#surface for more information and chart attribute options!

Still need help?
Contact Us

For guaranteed 24 hour response turnarounds, upgrade to a Developer Support Plan.