matplotlib-checkins Mailing List for matplotlib

Revision: 8212
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8212&view=rev
Author: leejjoon
Date: 2010年03月23日 17:37:51 +0000 (2010年3月23日)
Log Message:
-----------
make filters dpi-independent in examples/pylab_examples/demo_agg_filter.py
Modified Paths:
--------------
 trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py
Modified: trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py	2010年03月23日 17:23:50 UTC (rev 8211)
+++ trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py	2010年03月23日 17:37:51 UTC (rev 8212)
@@ -52,12 +52,12 @@
 self.offsets = offsets
 
 def get_pad(self, dpi):
- return max(*self.offsets)
+ return int(max(*self.offsets)/72.*dpi)
 
 def process_image(self, padded_src, dpi):
 ox, oy = self.offsets
- a1 = np.roll(padded_src, ox, axis=1)
- a2 = np.roll(a1, -oy, axis=0)
+ a1 = np.roll(padded_src, int(ox/72.*dpi), axis=1)
+ a2 = np.roll(a1, -int(oy/72.*dpi), axis=0)
 return a2
 
 class GaussianFilter(BaseFilter):
@@ -71,14 +71,14 @@
 self.color=color
 
 def get_pad(self, dpi):
- return int(self.sigma*3)
+ return int(self.sigma*3/72.*dpi)
 
 
 def process_image(self, padded_src, dpi):
 #offsetx, offsety = int(self.offsets[0]), int(self.offsets[1])
 tgt_image = np.zeros_like(padded_src)
 aa = smooth2d(padded_src[:,:,-1]*self.alpha,
- self.sigma)
+ self.sigma/72.*dpi)
 tgt_image[:,:,-1] = aa
 tgt_image[:,:,:-1] = self.color
 return tgt_image
@@ -143,7 +143,7 @@
 alpha = new_im[:,:,3]
 alpha.fill(0)
 alpha[pad:-pad, pad:-pad] = im[:,:,-1]
- alpha2 = np.clip(smooth2d(alpha, self.pixels) * 5, 0, 1)
+ alpha2 = np.clip(smooth2d(alpha, self.pixels/72.*dpi) * 5, 0, 1)
 new_im[:,:,-1] = alpha2
 new_im[:,:,:-1] = self.color
 offsetx, offsety = -pad, -pad
@@ -206,8 +206,10 @@
 fontsize=11)
 
 # change clable color to black
+ from matplotlib.patheffects import Normal
 for t in cl:
 t.set_color("k")
+ t.set_path_effects([Normal()]) # to force TextPath (i.e., same font in all backends)
 
 # Add white glows to improve visibility of labels.
 white_glows = FilteredArtistList(cl, GrowFilter(3))
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Revision: 8211
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8211&view=rev
Author: leejjoon
Date: 2010年03月23日 17:23:50 +0000 (2010年3月23日)
Log Message:
-----------
remove scipy dependency in examples/pylab_examples/demo_agg_filter.py
Modified Paths:
--------------
 trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py
Modified: trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py	2010年03月22日 16:47:27 UTC (rev 8210)
+++ trunk/matplotlib/examples/pylab_examples/demo_agg_filter.py	2010年03月23日 17:23:50 UTC (rev 8211)
@@ -1,11 +1,30 @@
 import matplotlib.pyplot as plt
 
 import numpy as np
-import scipy.ndimage as NI
 import matplotlib.cm as cm
 import matplotlib.mlab as mlab
 
+def smooth1d(x, window_len):
+ # copied from http://www.scipy.org/Cookbook/SignalSmooth
 
+ s=np.r_[2*x[0]-x[window_len:1:-1],x,2*x[-1]-x[-1:-window_len:-1]]
+ w = np.hanning(window_len)
+ y=np.convolve(w/w.sum(),s,mode='same')
+ return y[window_len-1:-window_len+1]
+
+def smooth2d(A, sigma=3):
+
+ window_len = max(int(sigma), 3)*2+1
+ A1 = np.array([smooth1d(x, window_len) for x in np.asarray(A)])
+ A2 = np.transpose(A1)
+ A3 = np.array([smooth1d(x, window_len) for x in A2])
+ A4 = np.transpose(A3)
+
+ return A4
+
+
+
+
 class BaseFilter(object):
 def prepare_image(self, src_image, dpi, pad):
 ny, nx, depth = src_image.shape
@@ -58,8 +77,9 @@
 def process_image(self, padded_src, dpi):
 #offsetx, offsety = int(self.offsets[0]), int(self.offsets[1])
 tgt_image = np.zeros_like(padded_src)
- tgt_image[:,:,-1] = NI.gaussian_filter(padded_src[:,:,-1]*self.alpha,
- self.sigma)
+ aa = smooth2d(padded_src[:,:,-1]*self.alpha,
+ self.sigma)
+ tgt_image[:,:,-1] = aa
 tgt_image[:,:,:-1] = self.color
 return tgt_image
 
@@ -123,7 +143,7 @@
 alpha = new_im[:,:,3]
 alpha.fill(0)
 alpha[pad:-pad, pad:-pad] = im[:,:,-1]
- alpha2 = NI.grey_dilation(alpha, size=(self.pixels, self.pixels))
+ alpha2 = np.clip(smooth2d(alpha, self.pixels) * 5, 0, 1)
 new_im[:,:,-1] = alpha2
 new_im[:,:,:-1] = self.color
 offsetx, offsety = -pad, -pad
@@ -208,7 +228,7 @@
 mec="r", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
 
 
- gauss = DropShadowFilter(2)
+ gauss = DropShadowFilter(4)
 
 for l in [l1, l2]:
 
@@ -257,7 +277,7 @@
 rects2 = ax.bar(ind+width+0.1, womenMeans, width, color='y', ec="w", lw=2)
 
 #gauss = GaussianFilter(1.5, offsets=(1,1), )
- gauss = DropShadowFilter(1.5, offsets=(1,1), )
+ gauss = DropShadowFilter(5, offsets=(1,1), )
 shadow = FilteredArtistList(rects1+rects2, gauss)
 ax.add_artist(shadow)
 shadow.set_zorder(rects1[0].get_zorder()-0.1)
@@ -275,21 +295,21 @@
 pies = ax.pie(fracs, explode=explode)
 ax.patch.set_visible(True)
 
- light_filter = LightFilter(8)
+ light_filter = LightFilter(9)
 for p in pies[0]:
 p.set_agg_filter(light_filter)
 p.set_rasterized(True) # to support mixed-mode renderers
 p.set(ec="none",
 lw=2)
 
- gauss = DropShadowFilter(3, offsets=(3,4), alpha=0.7)
+ gauss = DropShadowFilter(9, offsets=(3,4), alpha=0.7)
 shadow = FilteredArtistList(pies[0], gauss)
 ax.add_artist(shadow)
 shadow.set_zorder(pies[0][0].get_zorder()-0.1)
 
 
 if 1:
-
+ 
 plt.figure(1, figsize=(6, 6))
 plt.subplots_adjust(left=0.05, right=0.95)
 
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