[med-svn] [python-mne] 242/353: doctest fix
Yaroslav Halchenko
debian at onerussian.com
Fri Nov 27 17:25:06 UTC 2015
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yoh pushed a commit to tag 0.4
in repository python-mne.
commit 61f688a913951127d7706ad5fad932ab1f0d40c4
Author: Martin Luessi <mluessi at nmr.mgh.harvard.edu>
Date: Mon Jul 2 17:21:35 2012 -0400
doctest fix
---
doc/source/python_tutorial.rst | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/doc/source/python_tutorial.rst b/doc/source/python_tutorial.rst
index d799646..e8f994a 100644
--- a/doc/source/python_tutorial.rst
+++ b/doc/source/python_tutorial.rst
@@ -170,9 +170,9 @@ Define peak-to-peak rejection parameters for gradiometers, magnetometers and EOG
Read epochs:
>>> epochs = mne.Epochs(raw, events, event_id, tmin, tmax, proj=True, picks=picks, baseline=baseline, preload=False, reject=reject)
- 4 projection items activated
Adding average EEG reference projection.
Created an SSP operator (subspace dimension = 4)
+ 5 projection items activated
72 matching events found
>>> print epochs
Epochs (n_events : 72 (good & bad), tmin : -0.2 (s), tmax : 0.5 (s), baseline : (None, 0))
@@ -226,8 +226,8 @@ It is also possible to read evoked data stored in a fif file:
t = -199.80 ... 499.49 ms (Left Auditory)
0 CTF compensation matrices available
nave = 55 - aspect type = 100
- 4 projection items activated
Created an SSP operator (subspace dimension = 4)
+ 4 projection items activated
SSP projectors applied...
Applying baseline correction ... (mode: mean)
--
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