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import numpy as np | |
P_D = np.array([0.6, 0.4]) | |
P_I = np.array([0.7, 0.3]) | |
P_G_ID = np.array([ | |
[[0.3, 0.05], | |
[0.9, 0.5]], | |
[[0.4, 0.25], |
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_para1 = {'red': ((0.0, 0.019390722, 0.019390722), (0.125, 0.355334722, | |
0.355334722), (0.25, 0.565570631, 0.565570631), (0.375, | |
0.76583663, 0.76583663), (0.5, 0.966006412, 0.966006412), | |
(0.625, 0.953403586, 0.953403586), (0.75, 0.906621393, | |
0.906621393), (0.875, 0.831556904, 0.831556904), (1.0, | |
0.732691891, 0.732691891)), | |
'green': ((0.0, 0.390501895, 0.390501895), (0.125, 0.524474908, | |
0.524474908), (0.25, 0.665714642, 0.665714642), (0.375, | |
0.813150205, 0.813150205), (0.5, 0.96603773, 0.96603773), |
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from skimage import io, filter, morphology, segmentation, measure, img_as_float | |
import os | |
# Download the image | |
if not os.path.exists('cell.png'): | |
print "Downloading snowflakes image..." | |
import urllib2 | |
u = urllib2.urlopen('http://people.sc.fsu.edu/~jburkardt/data/tif/cell.png') |
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*Vertddices 198 | |
*Arcs | |
*Edges | |
1 8 1 | |
1 24 1 | |
1 35 1 | |
1 42 1 | |
1 46 1 | |
1 60 1 | |
1 74 1 |
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$ git diff -w notebook.css | |
diff --git a/IPython/frontend/html/notebook/static/css/notebook.css b/IPython/frontend | |
index 9396bf7..55e3a64 100644 | |
--- a/IPython/frontend/html/notebook/static/css/notebook.css | |
+++ b/IPython/frontend/html/notebook/static/css/notebook.css | |
@@ -311,6 +311,7 @@ div.text_cell_render { | |
.CodeMirror { | |
line-height: 1.231; /* Changed from 1em to our global default */ | |
+ font-family: Consolas; |
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def my_boxplot(ax, positions, values, width=None, color=None, label=None): | |
"""Custom box plot to work around some of matplotlib's quirks. | |
Parameters | |
---------- | |
ax : matplotlib axis | |
Target axis. | |
positions : (M,) ndarray of float | |
Where to positions boxes on the x-axis. | |
values : (M, N) ndarray of float |
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