MRG Ica plot

doc/source/whats_new.rst

@@ -27,6 +27,9 @@ Changelog
 
     - Add support for BEM solution computation :func:`mne.make_bem_solution` by `Eric Larson`_
 
+    - Add ICA plotters for raw and epoch components by `Jaakko Leppakangas`_
+
+
 BUG
 ~~~
 

examples/preprocessing/plot_ica_from_raw.py

@@ -75,7 +75,7 @@
 
 show_picks = np.abs(scores).argsort()[::-1][:5]
 
-ica.plot_sources(raw, show_picks, exclude=ecg_inds, title=title % 'eog')
+ica.plot_sources(raw, show_picks, exclude=eog_inds, title=title % 'eog')
 ica.plot_components(eog_inds, title=title % 'eog', colorbar=True)
 
 eog_inds = eog_inds[:n_max_eog]

mne/preprocessing/ica.py

@@ -1335,7 +1335,7 @@ def plot_components(self, picks=None, ch_type=None, res=64, layout=None,
                                    head_pos=head_pos)
 
     def plot_sources(self, inst, picks=None, exclude=None, start=None,
-                     stop=None, title=None, show=True):
+                     stop=None, title=None, show=True, block=False):
         """Plot estimated latent sources given the unmixing matrix.
 
         Typical usecases:
@@ -1363,15 +1363,32 @@ def plot_sources(self, inst, picks=None, exclude=None, start=None,
             The figure title. If None a default is provided.
         show : bool
             If True, all open plots will be shown.
+        block : bool
+            Whether to halt program execution until the figure is closed.
+            Useful for interactive selection of components in raw and epoch
+            plotter. For evoked, this parameter has no effect. Defaults to
+            False.
 
         Returns
         -------
         fig : instance of pyplot.Figure
             The figure.
+
+        Notes
+        -----
+        For raw and epoch instances, it is possible to select components for
+        exclusion by clicking on the line. The selected components are added to
+        ``ica.exclude`` on close. The independent components can be viewed as
+        topographies by clicking on the component name on the left of of the
+        main axes. The topography view tries to infer the correct electrode
+        layout from the data. This should work at least for Neuromag data.
+
+        .. versionadded:: 0.10.0
         """
 
         return plot_ica_sources(self, inst=inst, picks=picks, exclude=exclude,
-                                title=title, start=start, stop=stop, show=show)
+                                title=title, start=start, stop=stop, show=show,
+                                block=block)
 
     def plot_scores(self, scores, exclude=None, axhline=None,
                     title='ICA component scores', figsize=(12, 6),

mne/viz/__init__.py

@@ -19,5 +19,6 @@
                      plot_epochs_trellis, _drop_log_stats, plot_epochs_psd)
 from .raw import plot_raw, plot_raw_psd
 from .ica import plot_ica_scores, plot_ica_sources, plot_ica_overlay
+from .ica import _plot_sources_raw, _plot_sources_epochs
 from .montage import plot_montage
 from .decoding import plot_gat_matrix, plot_gat_times