Revision: 4500
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4500&view=rev
Author: mdboom
Date: 2007-11-29 05:50:25 -0800 (Thu, 29 Nov 2007)
Log Message:
-----------
Fix mri_with_eeg example
Modified Paths:
--------------
branches/transforms/examples/mri_with_eeg.py
Modified: branches/transforms/examples/mri_with_eeg.py
===================================================================
--- branches/transforms/examples/mri_with_eeg.py 2007-11-28 21:01:01 UTC
(rev 4499)
+++ branches/transforms/examples/mri_with_eeg.py 2007-11-29 13:50:25 UTC
(rev 4500)
@@ -6,10 +6,8 @@
from __future__ import division
from pylab import *
from matplotlib.lines import Line2D
-from matplotlib.transforms import get_bbox_transform, Point, Value, Bbox,\
- unit_bbox
+from matplotlib.transforms import Bbox, BboxTransform, BboxTransformTo,
Affine2D
-
# I use if 1 to break up the different regions of code visually
if 1: # load the data
@@ -36,37 +34,32 @@
if 1: # plot the EEG
# load the data
+
numSamples, numRows = 800,4
data = fromstring(file('data/eeg.dat', 'rb').read(), float)
data.shape = numSamples, numRows
t = arange(numSamples)/float(numSamples)*10.0
ticklocs = []
ax = subplot(212)
+ xlim(0,10)
+ xticks(arange(10))
- boxin = Bbox(
- Point(ax.viewLim.ll().x(), Value(-20)),
- Point(ax.viewLim.ur().x(), Value(20)))
+ boxin = Bbox.from_extents(ax.viewLim.x0, -20, ax.viewLim.x1, 20)
+ height = ax.bbox.height
+ boxout = Bbox.from_extents(ax.bbox.x0, -1.0 * height,
+ ax.bbox.x1, 1.0 * height)
- height = ax.bbox.ur().y() - ax.bbox.ll().y()
- boxout = Bbox(
- Point(ax.bbox.ll().x(), Value(-1)*height),
- Point(ax.bbox.ur().x(), Value(1) * height))
+ transOffset = BboxTransformTo(
+ Bbox.from_extents(0.0, ax.bbox.y0, 1.0, ax.bbox.y1))
- transOffset = get_bbox_transform(
- unit_bbox(),
- Bbox( Point( Value(0), ax.bbox.ll().y()),
- Point( Value(1), ax.bbox.ur().y())
- ))
-
-
for i in range(numRows):
# effectively a copy of transData
- trans = get_bbox_transform(boxin, boxout)
+ trans = BboxTransform(boxin, boxout)
offset = (i+1)/(numRows+1)
- trans.set_offset( (0, offset), transOffset)
+ trans += Affine2D().translate(*transOffset.transform_point((0,
offset)))
thisLine = Line2D(
t, data[:,i]-data[0,i],
@@ -77,9 +70,6 @@
ax.add_line(thisLine)
ticklocs.append(offset)
- xlim(0,10)
- xticks(arange(10))
-
setp(gca(), 'yticklabels', ['PG3', 'PG5', 'PG7', 'PG9'])
# set the yticks to use axes coords on the y axis
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