FIX: Hotfix for somato dataset (#6771)

larsoner · agramfort · commit 2545faf2f1b7 · 2019-09-15T18:26:52.000+02:00
* FIX: Hotfix for somato dataset

* FIX: Fix links
diff --git a/doc/links.inc b/doc/links.inc
@@ -181,7 +181,7 @@
 .. _pep8: https://pypi.org/project/pep8/
 .. _pyflakes: https://pypi.org/project/pyflakes
 .. _coverage: https://pypi.python.org/pypi/coverage
-.. _mayavi: http://https//docs.enthought.com/mayavi/mayavi/
+.. _mayavi: https//docs.enthought.com/mayavi/mayavi/
 .. _nitime: http://nipy.org/nitime/
 .. _joblib: https://pypi.python.org/pypi/joblib
 .. _scikit-learn: https://scikit-learn.org/stable/
diff --git a/doc/overview/design_philosophy.rst b/doc/overview/design_philosophy.rst
@@ -25,7 +25,7 @@ Integration with the scientific python stack
 MNE-Python also integrates well with other standard scientific python
 libraries. For example, MNE-Python objects underlyingly store their data in
 NumPy arrays, making it easy to apply custom algorithms or pass your data into
-one of `scikit-learn's <scikit-learn>`_ machine learning pipelines.
+one of `scikit-learn's <scikit-learn_>`_ machine learning pipelines.
 MNE-Python's 2-D plotting functions also return `matplotlib`_
 :class:`~matplotlib.figure.Figure` objects, and the 3D plotting functions
 return `mayavi`_ scenes, so you can customize your MNE-Python plots using any
diff --git a/examples/inverse/plot_dics_source_power.py b/examples/inverse/plot_dics_source_power.py
@@ -84,6 +84,7 @@
 ###############################################################################
 # Visualizing source power during ERS activity relative to the baseline power.
 stc = beta_source_power / baseline_source_power
+stc.subject = '01'  # it's mis-coded in fwd['src']
 message = 'DICS source power in the 12-30 Hz frequency band'
 brain = stc.plot(hemi='both', views='par', subjects_dir=subjects_dir,
                  subject=subject, time_label=message)
diff --git a/tutorials/preprocessing/plot_40_artifact_correction_ica.py b/tutorials/preprocessing/plot_40_artifact_correction_ica.py
@@ -576,7 +576,7 @@
 # .. LINKS
 #
 # .. _`blind source separation`:
-#    https://en.wikipedia.org/wiki/Signal_separation`
+#    https://en.wikipedia.org/wiki/Signal_separation
 # .. _`statistically independent`:
 #    https://en.wikipedia.org/wiki/Independence_(probability_theory)
 # .. _`scikit-learn`: https://scikit-learn.org

Original file line number	Diff line number	Diff line change
`@@ -576,7 +576,7 @@`
`576`	`576`	`# .. LINKS`
`577`	`577`	`#`
`578`	`578`	# .. _`blind source separation`:
`579`		-# https://en.wikipedia.org/wiki/Signal_separation`
	`579`	`+# https://en.wikipedia.org/wiki/Signal_separation`
`580`	`580`	# .. _`statistically independent`:
`581`	`581`	`# https://en.wikipedia.org/wiki/Independence_(probability_theory)`
`582`	`582`	# .. _`scikit-learn`: https://scikit-learn.org