[med-svn] [python-mne] 344/353: DOC : update reference + fix some docstrings

Yaroslav Halchenko debian at onerussian.com
Fri Nov 27 17:25:29 UTC 2015


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yoh pushed a commit to tag 0.4
in repository python-mne.

commit 1b0ca56c7d94bcc01d6370b3efa57bcbed2dd217
Author: Alexandre Gramfort <alexandre.gramfort at inria.fr>
Date:   Sun Aug 5 15:18:19 2012 +0200

    DOC : update reference + fix some docstrings
---
 doc/source/python_reference.rst | 57 +++++++++++++++++++++++++++++++++++++++--
 mne/beamformer/__init__.py      |  2 +-
 mne/cov.py                      |  4 +--
 mne/label.py                    | 14 +++++-----
 mne/preprocessing/maxfilter.py  |  4 +--
 mne/source_estimate.py          |  8 +++---
 mne/time_frequency/psd.py       |  4 +--
 mne/transforms.py               |  4 +--
 8 files changed, 75 insertions(+), 22 deletions(-)

diff --git a/doc/source/python_reference.rst b/doc/source/python_reference.rst
index cf48135..e24d4b8 100644
--- a/doc/source/python_reference.rst
+++ b/doc/source/python_reference.rst
@@ -32,11 +32,14 @@ Functions reference
 
    read_cov
    write_cov
+   compute_covariance
+   compute_raw_data_covariance
    label_time_courses
    read_label
    label_sign_flip
    write_label
    stc_to_label
+   grow_labels
    read_bem_surfaces
    read_surface
    write_bem_surface
@@ -47,12 +50,18 @@ Functions reference
    write_stc
    read_w
    write_w
+   read_proj
+   write_proj
+   compute_proj_epochs
+   compute_proj_evoked
+   read_selection
    fiff.pick_types
    fiff.pick_channels
    fiff.pick_types_evoked
    fiff.pick_channels_regexp
    fiff.pick_channels_forward
    fiff.pick_types_forward
+   fiff.pick_channels_cov
 
 .. automodule:: mne.minimum_norm
   :no-members:
@@ -65,14 +74,40 @@ Functions reference
    :template: function.rst
 
    read_inverse_operator
+   write_inverse_operator
+   make_inverse_operator
    apply_inverse
    apply_inverse_raw
    apply_inverse_epochs
-   make_inverse_operator
-   write_inverse_operator
    source_band_induced_power
    source_induced_power
 
+.. automodule:: mne.mixed_norm
+  :no-members:
+  :no-inherited-members:
+
+.. currentmodule:: mne.mixed_norm
+
+.. autosummary::
+   :toctree: generated/
+   :template: function.rst
+
+   mixed_norm
+
+.. automodule:: mne.beamformer
+  :no-members:
+  :no-inherited-members:
+
+.. currentmodule:: mne.beamformer
+
+.. autosummary::
+   :toctree: generated/
+   :template: function.rst
+
+   lcmv
+   lcmv_epochs
+   lcmv_raw
+
 .. automodule:: mne.stats
  :no-members:
  :no-inherited-members:
@@ -115,3 +150,21 @@ Functions reference
    induced_power
    single_trial_power
    compute_raw_psd
+   morlet
+   yule_walker
+   ar_raw
+   iir_filter_raw
+
+.. automodule:: mne.simulation
+ :no-members:
+ :no-inherited-members:
+
+.. currentmodule:: mne.simulation
+
+.. autosummary::
+   :toctree: generated/
+   :template: function.rst
+
+   generate_evoked
+   select_source_in_label
+   generate_sparse_stc
diff --git a/mne/beamformer/__init__.py b/mne/beamformer/__init__.py
index b24e865..b6c1ad7 100644
--- a/mne/beamformer/__init__.py
+++ b/mne/beamformer/__init__.py
@@ -1,4 +1,4 @@
-"""Artifacts finding/correction related functions
+"""Beamformers for source localization
 """
 
 from ._lcmv import lcmv, lcmv_epochs, lcmv_raw
diff --git a/mne/cov.py b/mne/cov.py
index 518a403..6b1a362 100644
--- a/mne/cov.py
+++ b/mne/cov.py
@@ -470,8 +470,8 @@ def regularize(cov, info, mag=0.1, grad=0.1, eeg=0.1, exclude=None,
     proj: bool
         Apply or not projections to keep rank of data.
 
-    Return
-    ------
+    Returns
+    -------
     reg_cov : Covariance
         The regularized covariance matrix.
     """
diff --git a/mne/label.py b/mne/label.py
index 40d470c..2408728 100644
--- a/mne/label.py
+++ b/mne/label.py
@@ -234,8 +234,8 @@ def stc_to_label(stc, src, smooth=5):
 def _verts_within_dist(graph, source, max_dist):
     """Find all vertices wihin a maximum geodesic distance from source
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     graph : scipy.sparse.csr_matrix
         Sparse matrix with distances between adjacent vertices
     source : int
@@ -243,8 +243,8 @@ def _verts_within_dist(graph, source, max_dist):
     max_dist: float
         Maximum geodesic distance
 
-    Returns:
-    --------
+    Returns
+    -------
     verts : array
         Vertices within max_dist
     dist : array
@@ -292,7 +292,7 @@ def grow_labels(subject, seeds, extents, hemis, subjects_dir=None):
           label, or integers, in which case the same extent and hemisphere is
           used for each label.
 
-    Parameters:
+    Parameters
     ----------
     subject : string
         Name of the subject as in SUBJECTS_DIR
@@ -305,8 +305,8 @@ def grow_labels(subject, seeds, extents, hemis, subjects_dir=None):
     subjects_dir : string
         Path to SUBJECTS_DIR if not set in the environment
 
-    Returns:
-    --------
+    Returns
+    -------
     labels : list
         List with lables. Each label is a dictionary with keys:
             comment     Comment with seed vertex and extent
diff --git a/mne/preprocessing/maxfilter.py b/mne/preprocessing/maxfilter.py
index e9bb121..b8f1368 100644
--- a/mne/preprocessing/maxfilter.py
+++ b/mne/preprocessing/maxfilter.py
@@ -96,8 +96,8 @@ def apply_maxfilter(in_fname, out_fname, origin=None, frame='device',
 
         Needs Maxfilter license, maxfilter has to be in PATH
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     in_fname: string
         Input file name
 
diff --git a/mne/source_estimate.py b/mne/source_estimate.py
index 4bf741f..67c3bb7 100644
--- a/mne/source_estimate.py
+++ b/mne/source_estimate.py
@@ -559,15 +559,15 @@ def mesh_dist(tris, vert):
     It generates an adjacency matrix where the entries are the distances
     between neighboring vertices.
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     tris : array (n_tris x 3)
         Mesh triangulation
     vert : array (n_vert x 3)
         Vertex locations
 
-    Returns:
-    --------
+    Returns
+    -------
     dist_matrix : scipy.sparse.csr_matrix
         Sparse matrix with distances between adjacent vertices
     """
diff --git a/mne/time_frequency/psd.py b/mne/time_frequency/psd.py
index 5443759..956e591 100644
--- a/mne/time_frequency/psd.py
+++ b/mne/time_frequency/psd.py
@@ -48,8 +48,8 @@ def compute_raw_psd(raw, tmin=0, tmax=np.inf, picks=None,
     proj : bool
         Apply SSP projection vectors
 
-    Return
-    ------
+    Returns
+    -------
     psd: array of float
         The PSD for all channels
 
diff --git a/mne/transforms.py b/mne/transforms.py
index 4d3a6d0..a594079 100644
--- a/mne/transforms.py
+++ b/mne/transforms.py
@@ -74,8 +74,8 @@ def transform_coordinates(filename, pos, orig, dest):
         'mni_tal' is MNI Talairach
         'fs_tal' is FreeSurfer Talairach
 
-    Return
-    ------
+    Returns
+    -------
     trans_pos: array of shape N x 3
         The transformed locations
 

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