"""
======================================
Drawing Region Adjacency Graphs (RAGs)
======================================

This example constructs a Region Adjacency Graph (RAG) and draws it with
the `rag_draw` method.
"""
from skimage import data, segmentation
from skimage.future import graph
from matplotlib import pyplot as plt, colors


img = data.coffee()
labels = segmentation.slic(img, compactness=30, n_segments=400)
g = graph.rag_mean_color(img, labels)

out = graph.draw_rag(labels, g, img)
plt.figure()
plt.title("RAG with all edges shown in green.")
plt.imshow(out)

# The color palette used was taken from
# http://www.colorcombos.com/color-schemes/2/ColorCombo2.html
cmap = colors.ListedColormap(['#6599FF', '#ff9900'])
out = graph.draw_rag(labels, g, img, node_color="#ffde00", colormap=cmap,
                     thresh=30, desaturate=True)
plt.figure()
plt.title("RAG with edge weights less than 30, color "
          "mapped between blue and orange.")
plt.imshow(out)

plt.figure()
plt.title("All edges drawn with cubehelix colormap")
cmap = plt.get_cmap('cubehelix')
out = graph.draw_rag(labels, g, img, colormap=cmap,
                     desaturate=True)

plt.imshow(out)
plt.show()

"""
======================================
Drawing Region Adjacency Graphs (RAGs)
======================================

This example constructs a Region Adjacency Graph (RAG) and draws it with
the `rag_draw` method.
"""
from skimage import data, segmentation
from skimage.future import graph
from matplotlib import pyplot as plt, colors


img = data.coffee()
labels = segmentation.slic(img, compactness=30, n_segments=400)
g = graph.rag_mean_color(img, labels)

out = graph.draw_rag(labels, g, img)
plt.figure()
plt.title("RAG with all edges shown in green.")
plt.imshow(out)

# The color palette used was taken from
# http://www.colorcombos.com/color-schemes/2/ColorCombo2.html
cmap = colors.ListedColormap(['#6599FF', '#ff9900'])
out = graph.draw_rag(labels, g, img, node_color="#ffde00", colormap=cmap,
                     thresh=30, desaturate=True)
plt.figure()
plt.title("RAG with edge weights less than 30, color "
          "mapped between blue and orange.")
plt.imshow(out)

plt.figure()
plt.title("All edges drawn with viridis colormap")
cmap = plt.get_cmap('viridis')
out = graph.draw_rag(labels, g, img, colormap=cmap,
                     desaturate=True)

plt.imshow(out)
plt.show()

Replace cubehelix with the viridis colormap in the RAG drawing example