From 8e026c43e08d058e494efb79e19b1f26465a9809 Mon Sep 17 00:00:00 2001
From: lucy <lucywowen@gmail.com>
Date: Fri, 27 Jul 2018 16:52:16 -0400
Subject: [PATCH] documentaiton updates

---
 docs/auto_examples/auto_examples_jupyter.zip | Bin 51246 -> 51246 bytes
 docs/auto_examples/auto_examples_python.zip  | Bin 33445 -> 33445 bytes
 supereeg/brain.py                            |   3 +++
 supereeg/nifti.py                            |   7 ++++++-
 supereeg/simulate.py                         |   2 +-
 5 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/docs/auto_examples/auto_examples_jupyter.zip b/docs/auto_examples/auto_examples_jupyter.zip
index 7fa044c6f6fc12aabda67b847ea760df0306d987..435d1b7cea42ff78271f82341f011596883fc776 100644
GIT binary patch
delta 121
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delta 121
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diff --git a/docs/auto_examples/auto_examples_python.zip b/docs/auto_examples/auto_examples_python.zip
index 0c1f3856986b4186a000530dd7f0ba8fe554463d..0773bd882beb7241cf48003ff374bb874a5cedce 100644
GIT binary patch
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delta 285
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diff --git a/supereeg/brain.py b/supereeg/brain.py
index d3b7325..14f4382 100644
--- a/supereeg/brain.py
+++ b/supereeg/brain.py
@@ -237,6 +237,9 @@ def __next__(self):
         return s
 
     def next(self):
+        """
+        Return next sample from Brain object (wrapper for self.__next__)
+        """
         return self.__next__()
 
     def update_filter_inds(self):
diff --git a/supereeg/nifti.py b/supereeg/nifti.py
index 0a75ae0..aa30493 100644
--- a/supereeg/nifti.py
+++ b/supereeg/nifti.py
@@ -213,10 +213,15 @@ def make_gif(self, gifpath, index=range(0, 10), name=None, **kwargs):
 
 
     def get_locs(self):
+        """
+        Return locations of voxels
+        """
         bo = Brain(self)
         return bo.get_locs()
 
 
     def save(self, filepath):
-
+        """
+        Save file to disk
+        """
         self.to_filename(filepath)
diff --git a/supereeg/simulate.py b/supereeg/simulate.py
index 0efe431..02bb2da 100644
--- a/supereeg/simulate.py
+++ b/supereeg/simulate.py
@@ -137,7 +137,7 @@ def simulate_model_data(n_samples=1000, n_elecs=170, locs=None, sample_locs=None
         Noise added to simulation
 
     set_random_seed : bool or int
-        Default False.  If True, set random seed to 123.  If int, set random seed to value.
+        Default False (choose a random seed).  If True, set random seed to 123.  If int, set random seed to the specified value.
 
     Returns
     ----------