Revision: 8123
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8123&view=rev
Author: jdh2358
Date: 2010-02-10 15:56:34 +0000 (Wed, 10 Feb 2010)
Log Message:
-----------
added Yannick Copin's sanke demo
Added Paths:
-----------
trunk/matplotlib/examples/api/sankey_demo.py
Added: trunk/matplotlib/examples/api/sankey_demo.py
===================================================================
--- trunk/matplotlib/examples/api/sankey_demo.py
(rev 0)
+++ trunk/matplotlib/examples/api/sankey_demo.py 2010-02-10 15:56:34 UTC
(rev 8123)
@@ -0,0 +1,105 @@
+#!/usr/bin/env python
+# Time-stamp: <2010-02-10 01:49:08 ycopin>
+
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.patches as mpatches
+from matplotlib.path import Path
+
+def sankey(ax, losses, labels=None,
+ dx=40, dy=10, angle=45, w=3, dip=10, offset=2, **kwargs):
+ """Draw a Sankey diagram.
+
+ losses: array of losses, should sum up to 100%
+ labels: loss labels (same length as losses),
+ or None (use default labels) or '' (no labels)
+ dx: horizontal elongation
+ dy: vertical elongation
+ angle: arrow angle [deg]
+ w: arrow shoulder
+ dip: input dip
+ offset: text offset
+ **kwargs: propagated to Patch (e.g. fill=False)
+
+ Return (patch,texts)."""
+
+ assert sum(losses)==100, "Input losses don't sum up to 100%"
+
+ def add_loss(loss, last=False):
+ h = (loss/2+w)*np.tan(angle/180.*np.pi) # Arrow tip height
+ move,(x,y) = path[-1] # Use last point as reference
+ if last: # Final loss (horizontal)
+ path.extend([(Path.LINETO,[x+dx,y]),
+ (Path.LINETO,[x+dx,y+w]),
+ (Path.LINETO,[x+dx+h,y-loss/2]), # Tip
+ (Path.LINETO,[x+dx,y-loss-w]),
+ (Path.LINETO,[x+dx,y-loss])])
+ tips.append(path[-3][1])
+ else: # Intermediate loss (vertical)
+ path.extend([(Path.LINETO,[x+dx/2,y]),
+ (Path.CURVE3,[x+dx,y]),
+ (Path.CURVE3,[x+dx,y+dy]),
+ (Path.LINETO,[x+dx-w,y+dy]),
+ (Path.LINETO,[x+dx+loss/2,y+dy+h]), # Tip
+ (Path.LINETO,[x+dx+loss+w,y+dy]),
+ (Path.LINETO,[x+dx+loss,y+dy]),
+ (Path.CURVE3,[x+dx+loss,y-loss]),
+ (Path.CURVE3,[x+dx/2+loss,y-loss])])
+ tips.append(path[-5][1])
+
+ tips = [] # Arrow tip positions
+ path = [(Path.MOVETO,[0,100])] # 1st point
+ for i,loss in enumerate(losses):
+ add_loss(loss, last=(i==(len(losses)-1)))
+ path.extend([(Path.LINETO,[0,0]),
+ (Path.LINETO,[dip,50]), # Dip
+ (Path.CLOSEPOLY,[0,100])])
+ codes,verts = zip(*path)
+ verts = np.array(verts)
+
+ # Path patch
+ path = Path(verts,codes)
+ patch = mpatches.PathPatch(path, **kwargs)
+ ax.add_patch(patch)
+
+ # Labels
+ if labels=='': # No labels
+ pass
+ elif labels is None: # Default labels
+ labels = [ '%2d%%' % loss for loss in losses ]
+ else:
+ assert len(labels)==len(losses)
+
+ texts = []
+ for i,label in enumerate(labels):
+ x,y = tips[i] # Label position
+ last = (i==(len(losses)-1))
+ if last:
+ t = ax.text(x+offset,y,label, ha='left', va='center')
+ else:
+ t = ax.text(x,y+offset,label, ha='center', va='bottom')
+ texts.append(t)
+
+ # Axes management
+ ax.set_xlim(verts[:,0].min()-10, verts[:,0].max()+40)
+ ax.set_ylim(verts[:,1].min()-10, verts[:,1].max()+20)
+ ax.set_aspect('equal', adjustable='datalim')
+ ax.set_xticks([])
+ ax.set_yticks([])
+
+ return patch,texts
+
+if __name__=='__main__':
+
+ losses = [10.,20.,5.,15.,10.,40.]
+ labels = ['First','Second','Third','Fourth','Fifth','Hurray!']
+ labels = [ s+'\n%d%%' % l for l,s in zip(losses,labels) ]
+
+ fig = plt.figure()
+ ax = fig.add_subplot(1,1,1)
+
+ patch,texts = sankey(ax, losses, labels, fc='g', alpha=0.2)
+ texts[1].set_color('r')
+ texts[-1].set_fontweight('bold')
+
+ plt.show()
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