Revision: 7629
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7629&view=rev
Author: mdboom
Date: 2009-09-02 19:31:32 +0000 (Wed, 02 Sep 2009)
Log Message:
-----------
Add Gouraud triangle support (of a fashion) to SVG backend.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/backends/backend_svg.py
Modified: trunk/matplotlib/lib/matplotlib/backends/backend_svg.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/backends/backend_svg.py 2009-09-02
19:30:30 UTC (rev 7628)
+++ trunk/matplotlib/lib/matplotlib/backends/backend_svg.py 2009-09-02
19:31:32 UTC (rev 7629)
@@ -2,6 +2,8 @@
import os, codecs, base64, tempfile, urllib, gzip, cStringIO
+import numpy as np
+
try:
from hashlib import md5
except ImportError:
@@ -54,6 +56,7 @@
self._path_collection_id = 0
self._imaged = {}
self._hatchd = {}
+ self._n_gradients = 0
self.mathtext_parser = MathTextParser('SVG')
svgwriter.write(svgProlog%(width,height,width,height))
@@ -298,6 +301,63 @@
self._path_collection_id += 1
+ def draw_gouraud_triangle(self, gc, points, colors, trans):
+ # This uses a method described here:
+ #
+ # http://www.svgopen.org/2005/papers/Converting3DFaceToSVG/index.html
+ #
+ # that uses three overlapping linear gradients to simulate a
+ # Gouraud triangle. Each gradient goes from fully opaque in
+ # one corner to fully transparent along the opposite edge.
+ # The line between the stop points is perpendicular to the
+ # opposite edge. Underlying these three gradients is a solid
+ # triangle whose color is the average of all three points.
+
+ trans_and_flip = self._make_flip_transform(trans)
+ tpoints = trans_and_flip.transform(points)
+ write = self._svgwriter.write
+
+ write('<defs>')
+ for i in range(3):
+ x1, y1 = points[i]
+ x2, y2 = points[(i + 1) % 3]
+ x3, y3 = points[(i + 2) % 3]
+ c = colors[i][:3]
+
+ if x2 == x3:
+ xb = x2
+ yb = y1
+ elif y2 == y3:
+ xb = x1
+ yb = y2
+ else:
+ m1 = (y2 - y3) / (x2 - x3)
+ b1 = y2 - (m1 * x2)
+ m2 = -(1.0 / m1)
+ b2 = y1 - (m2 * x1)
+ xb = (-b1 + b2) / (m1 - m2)
+ yb = m2 * xb + b2
+
+ write('<linearGradient id="GR%x_%d" x1="%f" y1="%f" x2="%f"
y2="%f" gradientUnits="userSpaceOnUse">' %
+ (self._n_gradients, i, x1, y1, xb, yb))
+ write('<stop offset="0" stop-color="%s" stop-opacity="1.0"/>' %
rgb2hex(c))
+ write('<stop offset="1" stop-color="%s" stop-opacity="0.0"/>' %
rgb2hex(c))
+ write('</linearGradient>')
+
+ # Define the triangle itself as a "def" since we use it 4 times
+ write('<polygon id="GT%x" points="%f %f %f %f %f %f"/>' %
+ (self._n_gradients, x1, y1, x2, y2, x3, y3))
+ write('</defs>\n')
+
+ avg_color = np.sum(colors[:, :3], axis=0) / 3.0
+ write('<use xlink:href="#GT%x" fill="%s"/>\n' %
+ (self._n_gradients, rgb2hex(avg_color)))
+ for i in range(3):
+ write('<use xlink:href="#GT%x" fill="url(#GR%x_%d)"
filter="url(#colorAdd)"/>\n' %
+ (self._n_gradients, self._n_gradients, i))
+
+ self._n_gradients += 1
+
def draw_image(self, gc, x, y, im):
# MGDTODO: Support clippath here
trans = [1,0,0,1,0,0]
@@ -305,7 +365,7 @@
if rcParams['svg.image_noscale']:
trans = list(im.get_matrix())
trans[5] = -trans[5]
- transstr = 'transform="matrix(%f %f %f %f %f %f)" '%tuple(trans)
+ transstr = 'transform="matrix(%f %f %f %f %f %f)" ' % tuple(trans)
assert trans[1] == 0
assert trans[2] == 0
numrows,numcols = im.get_size()
@@ -672,4 +732,5 @@
xmlns:xlink="http://www.w3.org/1999/xlink";
version="1.1"
id="svg1">
+<filter id="colorAdd"><feComposite in="SourceGraphic" in2="BackgroundImage"
operator="arithmetic" k2="1" k3="1"/></filter>
"""
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
------------------------------------------------------------------------------
Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
trial. Simplify your report design, integration and deployment - and focus on
what you do best, core application coding. Discover what's new with
Crystal Reports now. http://p.sf.net/sfu/bobj-july
_______________________________________________
Matplotlib-checkins mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins
