MRG, ENH: Add flatmap

mne/datasets/utils.py

@@ -239,7 +239,7 @@ def _data_path(path=None, force_update=False, update_path=True, download=True,
     path = _get_path(path, key, name)
     # To update the testing or misc dataset, push commits, then make a new
     # release on GitHub. Then update the "releases" variable:
-    releases = dict(testing='0.97', misc='0.6')
+    releases = dict(testing='0.98', misc='0.6')
     # And also update the "md5_hashes['testing']" variable below.
 
     # To update any other dataset, update the data archive itself (upload
@@ -326,7 +326,7 @@ def _data_path(path=None, force_update=False, update_path=True, download=True,
         sample='12b75d1cb7df9dfb4ad73ed82f61094f',
         somato='ea825966c0a1e9b2f84e3826c5500161',
         spm='9f43f67150e3b694b523a21eb929ea75',
-        testing='603c3f087c4dbf151c729341342095c7',
+        testing='7c1dcfacaac7759aa40bfb800c791d85',
         multimodal='26ec847ae9ab80f58f204d09e2c08367',
         fnirs_motor='c4935d19ddab35422a69f3326a01fef8',
         opm='370ad1dcfd5c47e029e692c85358a374',

mne/source_estimate.py

@@ -615,12 +615,12 @@ def plot(self, subject=None, surface='inflated', hemi='lh',
              colormap='auto', time_label='auto', smoothing_steps=10,
              transparent=True, alpha=1.0, time_viewer='auto',
              subjects_dir=None,
-             figure=None, views='lat', colorbar=True, clim='auto',
+             figure=None, views='auto', colorbar=True, clim='auto',
              cortex="classic", size=800, background="black",
              foreground=None, initial_time=None, time_unit='s',
              backend='auto', spacing='oct6', title=None, show_traces='auto',
              src=None, volume_options=1., view_layout='vertical',
-             verbose=None):
+             add_data_kwargs=None, verbose=None):
         brain = plot_source_estimates(
             self, subject, surface=surface, hemi=hemi, colormap=colormap,
             time_label=time_label, smoothing_steps=smoothing_steps,
@@ -631,7 +631,7 @@ def plot(self, subject=None, surface='inflated', hemi='lh',
             initial_time=initial_time, time_unit=time_unit, backend=backend,
             spacing=spacing, title=title, show_traces=show_traces,
             src=src, volume_options=volume_options, view_layout=view_layout,
-            verbose=verbose)
+            add_data_kwargs=add_data_kwargs, verbose=verbose)
         return brain
 
     @property
@@ -1904,11 +1904,13 @@ def project(self, directions, src=None, use_cps=True):
     def plot(self, subject=None, hemi='lh', colormap='hot', time_label='auto',
              smoothing_steps=10, transparent=True, brain_alpha=0.4,
              overlay_alpha=None, vector_alpha=1.0, scale_factor=None,
-             time_viewer='auto', subjects_dir=None, figure=None, views='lat',
+             time_viewer='auto', subjects_dir=None, figure=None,
+             views='lateral',
              colorbar=True, clim='auto', cortex='classic', size=800,
              background='black', foreground=None, initial_time=None,
              time_unit='s', show_traces='auto', src=None, volume_options=1.,
-             view_layout='vertical', verbose=None):  # noqa: D102
+             view_layout='vertical', add_data_kwargs=None,
+             verbose=None):  # noqa: D102
         return plot_vector_source_estimates(
             self, subject=subject, hemi=hemi, colormap=colormap,
             time_label=time_label, smoothing_steps=smoothing_steps,
@@ -1920,7 +1922,8 @@ def plot(self, subject=None, hemi='lh', colormap='hot', time_label='auto',
             background=background, foreground=foreground,
             initial_time=initial_time, time_unit=time_unit,
             show_traces=show_traces, src=src, volume_options=volume_options,
-            view_layout=view_layout, verbose=verbose)
+            view_layout=view_layout, add_data_kwargs=add_data_kwargs,
+            verbose=verbose)
 
 
 class _BaseVolSourceEstimate(_BaseSourceEstimate):
@@ -1938,7 +1941,7 @@ def plot_3d(self, subject=None, surface='white', hemi='both',
                 foreground=None, initial_time=None, time_unit='s',
                 backend='auto', spacing='oct6', title=None, show_traces='auto',
                 src=None, volume_options=1., view_layout='vertical',
-                verbose=None):
+                add_data_kwargs=None, verbose=None):
         return super().plot(
             subject=subject, surface=surface, hemi=hemi, colormap=colormap,
             time_label=time_label, smoothing_steps=smoothing_steps,
@@ -1949,7 +1952,8 @@ def plot_3d(self, subject=None, surface='white', hemi='both',
             foreground=foreground, initial_time=initial_time,
             time_unit=time_unit, backend=backend, spacing=spacing, title=title,
             show_traces=show_traces, src=src, volume_options=volume_options,
-            view_layout=view_layout, verbose=verbose)
+            view_layout=view_layout, add_data_kwargs=add_data_kwargs,
+            verbose=verbose)
 
     @copy_function_doc_to_method_doc(plot_volume_source_estimates)
     def plot(self, src, subject=None, subjects_dir=None, mode='stat_map',
@@ -2267,7 +2271,7 @@ def plot_3d(self, subject=None, hemi='both', colormap='hot',
                 background='black', foreground=None, initial_time=None,
                 time_unit='s', show_traces='auto', src=None,
                 volume_options=1., view_layout='vertical',
-                verbose=None):  # noqa: D102
+                add_data_kwargs=None, verbose=None):  # noqa: D102
         return _BaseVectorSourceEstimate.plot(
             self, subject=subject, hemi=hemi, colormap=colormap,
             time_label=time_label, smoothing_steps=smoothing_steps,
@@ -2279,7 +2283,8 @@ def plot_3d(self, subject=None, hemi='both', colormap='hot',
             background=background, foreground=foreground,
             initial_time=initial_time, time_unit=time_unit,
             show_traces=show_traces, src=src, volume_options=volume_options,
-            view_layout=view_layout, verbose=verbose)
+            view_layout=view_layout, add_data_kwargs=add_data_kwargs,
+            verbose=verbose)
 
 
 @fill_doc

mne/surface.py

@@ -764,6 +764,53 @@ def _read_wavefront_obj(fname):
     return np.array(coords), np.array(faces)
 
 
+def _read_patch(fname):
+    """Load a FreeSurfer binary patch file.
+
+    Parameters
+    ----------
+    fname : str
+        The filename.
+
+    Returns
+    -------
+    rrs : ndarray, shape (n_vertices, 3)
+        The points.
+    tris : ndarray, shape (n_tris, 3)
+        The patches. Not all vertices will be present.
+    """
+    # This is adapted from PySurfer PR #269, Bruce Fischl's read_patch.m,
+    # and PyCortex (BSD)
+    patch = dict()
+    with open(fname, 'r') as fid:
+        ver = np.fromfile(fid, dtype='>i4', count=1)[0]
+        if ver != -1:
+            raise RuntimeError(f'incorrect version # {ver} (not -1) found')
+        npts = np.fromfile(fid, dtype='>i4', count=1)[0]
+        dtype = np.dtype(
+            [('vertno', '>i4'), ('x', '>f'), ('y', '>f'), ('z', '>f')])
+        recs = np.fromfile(fid, dtype=dtype, count=npts)
+    # numpy to dict
+    patch = {key: recs[key] for key in dtype.fields.keys()}
+    patch['vertno'] -= 1
+
+    # read surrogate surface
+    rrs, tris = read_surface(
+        op.join(op.dirname(fname), op.basename(fname)[:3] + 'sphere'))
+    orig_tris = tris
+    is_vert = patch['vertno'] > 0  # negative are edges, ignored for now
+    verts = patch['vertno'][is_vert]
+
+    # eliminate invalid tris and zero out unused rrs
+    mask = np.zeros((len(rrs),), dtype=bool)
+    mask[verts] = True
+    rrs[~mask] = 0.
+    tris = tris[mask[tris].all(1)]
+    for ii, key in enumerate(['x', 'y', 'z']):
+        rrs[verts, ii] = patch[key][is_vert]
+    return rrs, tris, orig_tris
+
+
 ##############################################################################
 # SURFACE CREATION
 

mne/tests/test_surface.py

@@ -13,7 +13,7 @@
                  dig_mri_distances)
 from mne.surface import (read_morph_map, _compute_nearest, _tessellate_sphere,
                          fast_cross_3d, get_head_surf, read_curvature,
-                         get_meg_helmet_surf, _normal_orth)
+                         get_meg_helmet_surf, _normal_orth, _read_patch)
 from mne.utils import (_TempDir, requires_vtk, catch_logging,
                        run_tests_if_main, object_diff, requires_freesurfer)
 from mne.io import read_info
@@ -183,6 +183,12 @@ def test_io_surface():
         assert_array_equal(pts, c_pts)
         assert_array_equal(tri, c_tri)
 
+    # reading patches (just a smoke test, let the flatmap viz tests be more
+    # complete)
+    fname_patch = op.join(
+        data_path, 'subjects', 'fsaverage', 'surf', 'rh.cortex.patch.flat')
+    _read_patch(fname_patch)
+
 
 @testing.requires_testing_data
 def test_read_curv():

mne/utils/docs.py

@@ -1058,6 +1058,21 @@
     Can be "vertical" (default) or "horizontal". When using "horizontal" mode,
     the PyVista backend must be used and hemi cannot be "split".
 """
+docdict['add_data_kwargs'] = """
+add_data_kwargs : dict | None
+    Additional arguments to brain.add_data (e.g.,
+    ``dict(time_label_size=10)``).
+"""
+docdict['views'] = """
+views : str | list
+    View to use. Can be any of::
+
+        ['lateral', 'medial', 'rostral', 'caudal', 'dorsal', 'ventral',
+         'frontal', 'parietal', 'axial', 'sagittal', 'coronal']
+
+    Three letter abbreviations (e.g., ``'lat'``) are also supported.
+    Using multiple views (list) is not supported for mpl backend.
+"""
 
 # STC label time course
 docdict['eltc_labels'] = """

mne/viz/_3d.py

@@ -1426,6 +1426,7 @@ def _plot_mpl_stc(stc, subject=None, surface='inflated', hemi='lh',
                  'par': {'elev': 30, 'azim': -60}}
     time_viewer = False if time_viewer == 'auto' else time_viewer
     kwargs = dict(lh=lh_kwargs, rh=rh_kwargs)
+    views = 'lat' if views == 'auto' else views
     _check_option('views', views, sorted(lh_kwargs.keys()))
     mapdata = _process_clim(clim, colormap, transparent, stc.data)
     _separate_map(mapdata)
@@ -1582,13 +1583,13 @@ def plot_source_estimates(stc, subject=None, surface='inflated', hemi='lh',
                           colormap='auto', time_label='auto',
                           smoothing_steps=10, transparent=True, alpha=1.0,
                           time_viewer='auto', subjects_dir=None, figure=None,
-                          views='lat', colorbar=True, clim='auto',
+                          views='auto', colorbar=True, clim='auto',
                           cortex="classic", size=800, background="black",
                           foreground=None, initial_time=None,
                           time_unit='s', backend='auto', spacing='oct6',
                           title=None, show_traces='auto',
                           src=None, volume_options=1., view_layout='vertical',
-                          verbose=None):
+                          add_data_kwargs=None, verbose=None):
     """Plot SourceEstimate.
 
     Parameters
@@ -1629,10 +1630,14 @@ def plot_source_estimates(stc, subject=None, surface='inflated', hemi='lh',
         length. If int is provided it will be used to identify the Mayavi
         figure by it's id or create a new figure with the given id. If an
         instance of matplotlib figure, mpl backend is used for plotting.
-    views : str | list
-        View to use. See `surfer.Brain`. Supported views: ['lat', 'med', 'ros',
-        'cau', 'dor' 'ven', 'fro', 'par']. Using multiple views is not
-        supported for mpl backend.
+    %(views)s
+
+        When plotting a standard SourceEstimate (not volume, mixed, or vector)
+        and using the PyVista backend, ``views='flat'`` is also supported to
+        plot cortex as a flatmap.
+
+        .. versionchanged:: 0.21.0
+           Support for flatmaps.
     colorbar : bool
         If True, display colorbar on scene.
     %(clim)s
@@ -1676,13 +1681,25 @@ def plot_source_estimates(stc, subject=None, surface='inflated', hemi='lh',
         .. versionadded:: 0.17.0
     %(show_traces)s
     %(src_volume_options_layout)s
+    %(add_data_kwargs)s
     %(verbose)s
 
     Returns
     -------
     figure : instance of surfer.Brain | matplotlib.figure.Figure
         An instance of :class:`surfer.Brain` from PySurfer or
         matplotlib figure.
+
+    Notes
+    -----
+    Flatmaps are available by default for ``fsaverage`` but not for other
+    subjects reconstructed by FreeSurfer. We recommend using
+    :func:`mne.compute_source_morph` to morph source estimates to ``fsaverage``
+    for flatmap plotting. If you want to construct your own flatmap for a given
+    subject, these links might help:
+
+    - https://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferOccipitalFlattenedPatch
+    - https://openwetware.org/wiki/Beauchamp:FreeSurfer
     """  # noqa: E501
     from .backends.renderer import _get_3d_backend, set_3d_backend
     from ..source_estimate import _BaseSourceEstimate
@@ -1716,15 +1733,15 @@ def plot_source_estimates(stc, subject=None, surface='inflated', hemi='lh',
         stc, overlay_alpha=alpha, brain_alpha=alpha, vector_alpha=alpha,
         cortex=cortex, foreground=foreground, size=size, scale_factor=None,
         show_traces=show_traces, src=src, volume_options=volume_options,
-        view_layout=view_layout, **kwargs)
+        view_layout=view_layout, add_data_kwargs=add_data_kwargs, **kwargs)
 
 
 def _plot_stc(stc, subject, surface, hemi, colormap, time_label,
               smoothing_steps, subjects_dir, views, clim, figure, initial_time,
               time_unit, background, time_viewer, colorbar, transparent,
               brain_alpha, overlay_alpha, vector_alpha, cortex, foreground,
               size, scale_factor, show_traces, src, volume_options,
-              view_layout):
+              view_layout, add_data_kwargs):
     from .backends.renderer import _get_3d_backend
     vec = stc._data_ndim == 3
     subjects_dir = get_subjects_dir(subjects_dir=subjects_dir,
@@ -1739,7 +1756,7 @@ def _plot_stc(stc, subject, surface, hemi, colormap, time_label,
         _require_version('surfer', 'stc.plot', '0.9')
     else:  # PyVista
         from ._brain import _Brain as Brain
-
+    views = _check_views(surface, views, hemi, stc, backend)
     _check_option('hemi', hemi, ['lh', 'rh', 'split', 'both'])
     _check_option('view_layout', view_layout, ('vertical', 'horizontal'))
     time_label, times = _handle_time(time_label, time_unit, stc.times)
@@ -1842,6 +1859,7 @@ def _plot_stc(stc, subject, surface, hemi, colormap, time_label,
             kwargs["clim"] = clim
             kwargs["volume_options"] = volume_options
             kwargs["src"] = src_vol
+        kwargs.update({} if add_data_kwargs is None else add_data_kwargs)
         with warnings.catch_warnings(record=True):  # traits warnings
             brain.add_data(**kwargs)
         brain.scale_data_colormap(fmin=scale_pts[0], fmid=scale_pts[1],
@@ -2346,19 +2364,44 @@ def _check_pysurfer_antialias(Brain):
     return kwargs
 
 
+def _check_views(surf, views, hemi, stc=None, backend=None):
+    from ..source_estimate import SourceEstimate
+    _validate_type(views, (list, tuple, str), 'views')
+    views = [views] if isinstance(views, str) else list(views)
+    if surf == 'flat':
+        _check_option('views', views, (['auto'], ['flat']))
+        views = ['flat']
+    elif len(views) == 1 and views[0] == 'auto':
+        views = ['lateral']
+    if views == ['flat']:
+        if stc is not None:
+            _validate_type(stc, SourceEstimate, 'stc',
+                           'SourceEstimate when a flatmap is used')
+        if backend is not None:
+            if backend != 'pyvista':
+                raise RuntimeError('The PyVista 3D backend must be used to '
+                                   'plot a flatmap')
+    if (views == ['flat']) ^ (surf == 'flat'):  # exactly only one of the two
+        raise ValueError('surface="flat" must be used with views="flat", got '
+                         f'surface={repr(surf)} and views={repr(views)}')
+    return views
+
+
 @verbose
 def plot_vector_source_estimates(stc, subject=None, hemi='lh', colormap='hot',
                                  time_label='auto', smoothing_steps=10,
                                  transparent=None, brain_alpha=0.4,
                                  overlay_alpha=None, vector_alpha=1.0,
                                  scale_factor=None, time_viewer='auto',
-                                 subjects_dir=None, figure=None, views='lat',
+                                 subjects_dir=None, figure=None,
+                                 views='lateral',
                                  colorbar=True, clim='auto', cortex='classic',
                                  size=800, background='black',
                                  foreground=None, initial_time=None,
                                  time_unit='s', show_traces='auto',
                                  src=None, volume_options=1.,
-                                 view_layout='vertical', verbose=None):
+                                 view_layout='vertical',
+                                 add_data_kwargs=None, verbose=None):
     """Plot VectorSourceEstimate with PySurfer.
 
     A "glass brain" is drawn and all dipoles defined in the source estimate
@@ -2406,8 +2449,7 @@ def plot_vector_source_estimates(stc, subject=None, hemi='lh', colormap='hot',
         split view is requested, this must be a list of the appropriate
         length. If int is provided it will be used to identify the Mayavi
         figure by it's id or create a new figure with the given id.
-    views : str | list
-        View to use. See `surfer.Brain`.
+    %(views)s
     colorbar : bool
         If True, display colorbar on scene.
     %(clim_onesided)s
@@ -2433,6 +2475,7 @@ def plot_vector_source_estimates(stc, subject=None, hemi='lh', colormap='hot',
         milliseconds ("ms").
     %(show_traces)s
     %(src_volume_options_layout)s
+    %(add_data_kwargs)s
     %(verbose)s
 
     Returns
@@ -2459,7 +2502,8 @@ def plot_vector_source_estimates(stc, subject=None, hemi='lh', colormap='hot',
         brain_alpha=brain_alpha, overlay_alpha=overlay_alpha,
         vector_alpha=vector_alpha, cortex=cortex, foreground=foreground,
         size=size, scale_factor=scale_factor, show_traces=show_traces,
-        src=src, volume_options=volume_options, view_layout=view_layout)
+        src=src, volume_options=volume_options, view_layout=view_layout,
+        add_data_kwargs=add_data_kwargs)
 
 
 @verbose