make more use of subj variable

mne-tools · Jun 6, 2019 · 5e73f62 · 5e73f62
1 parent ff80732
commit 5e73f62
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Showing 3 changed files with 9 additions and 3 deletions.
diff --git a/examples/inverse/plot_dics_source_power.py b/examples/inverse/plot_dics_source_power.py
@@ -37,7 +37,8 @@
 # Reading the raw data and creating epochs:
 data_path = somato.data_path()
 subj = 'sub-01'
-raw_fname = op.join(data_path, subj, 'meg', 'sub-01_task-somato_meg.fif')
+raw_fname = op.join(data_path, subj, 'meg',
+                    '{}_task-somato_meg.fif'.format(subj))
 
 raw = mne.io.read_raw_fif(raw_fname)
 

diff --git a/examples/time_frequency/plot_time_frequency_global_field_power.py b/examples/time_frequency/plot_time_frequency_global_field_power.py
@@ -43,6 +43,7 @@
        Cambrdige University Press, Chapter 11.2.
 """
 # Authors: Denis A. Engemann <denis.engemann@gmail.com>
+#          Stefan Appelhoff <stefan.appelhoff@mailbox.org>
 #
 # License: BSD (3-clause)
 import os.path as op
@@ -59,7 +60,8 @@
 # Set parameters
 data_path = somato.data_path()
 subj = 'sub-01'
-raw_fname = op.join(data_path, subj, 'meg', 'sub-01_task-somato_meg.fif')
+raw_fname = op.join(data_path, subj, 'meg',
+                    '{}_task-somato_meg.fif'.format(subj))
 
 # let's explore some frequency bands
 iter_freqs = [

diff --git a/tutorials/time-freq/plot_sensors_time_frequency.py b/tutorials/time-freq/plot_sensors_time_frequency.py
@@ -14,6 +14,7 @@
 desynchronizations (ERD) in the beta band.
 """
 # Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
+#          Stefan Appelhoff <stefan.appelhoff@mailbox.org>
 #
 # License: BSD (3-clause)
 import os.path as op
@@ -28,7 +29,9 @@
 ###############################################################################
 # Set parameters
 data_path = somato.data_path()
-raw_fname = op.join(data_path, 'sub-01', 'meg', 'sub-01_task-somato_meg.fif')
+subj = 'sub-01'
+raw_fname = op.join(data_path, subj, 'meg',
+                    'subj_task-somato_meg.fif'.format(subj))
 
 # Setup for reading the raw data
 raw = mne.io.read_raw_fif(raw_fname)