From 7117ef15f2fccf75eec03d7ca07e5894235b3794 Mon Sep 17 00:00:00 2001
From: andrewheusser <andrew.heusser@gmail.com>
Date: Tue, 18 Apr 2017 10:28:21 -0400
Subject: [PATCH] modified examples to remove unpacking numpy array into list

---
 examples/animate.py    | 3 +--
 examples/plot_align.py | 9 ++++-----
 examples/save_image.py | 5 ++---
 examples/save_movie.py | 9 ++++-----
 4 files changed, 11 insertions(+), 15 deletions(-)

diff --git a/examples/animate.py b/examples/animate.py
index 9f6e8365..108e7a12 100644
--- a/examples/animate.py
+++ b/examples/animate.py
@@ -17,8 +17,7 @@
 import numpy as np
 
 data = hyp.tools.load('weights')
-w = [i for i in data]
-aligned_w = hyp.tools.align(w)
+aligned_w = hyp.tools.align(data)
 
 w1 = np.mean(aligned_w[:17],0)
 w2 = np.mean(aligned_w[18:],0)
diff --git a/examples/plot_align.py b/examples/plot_align.py
index f247c184..049fdb04 100644
--- a/examples/plot_align.py
+++ b/examples/plot_align.py
@@ -18,10 +18,9 @@
 import numpy as np
 
 data = hyp.tools.load('weights')
-w = [i for i in data]
-aligned_w = hyp.tools.align(w)
+aligned_data = hyp.tools.align(data)
 
-w1 = np.mean(aligned_w[:17],0)
-w2 = np.mean(aligned_w[18:],0)
+group1 = np.mean(aligned_data[:17],0)
+group2 = np.mean(aligned_data[18:],0)
 
-hyp.plot([w1[:100,:],w2[:100,:]])
+hyp.plot([group1[:100,:],group2[:100,:]])
diff --git a/examples/save_image.py b/examples/save_image.py
index 5f85d23a..9c0800b8 100644
--- a/examples/save_image.py
+++ b/examples/save_image.py
@@ -15,7 +15,6 @@
 import scipy.io as sio
 import numpy as np
 
-data = hyp.tools.load('weights')
-w=[i for i in data[0:3]]
+data = hyp.tools.load('weights_sample')
 
-hyp.plot(w,'o', save_path='test-image.pdf')
+hyp.plot(data, 'o', save_path='test-image.pdf')
diff --git a/examples/save_movie.py b/examples/save_movie.py
index 7e7801d5..7c226f9e 100644
--- a/examples/save_movie.py
+++ b/examples/save_movie.py
@@ -17,10 +17,9 @@
 import numpy as np
 
 data = hyp.tools.load('weights')
-w = [i for i in data]
-aligned_w = hyp.tools.align(w)
+aligned_data = hyp.tools.align(data)
 
-w1 = np.mean(aligned_w[:17],0)
-w2 = np.mean(aligned_w[18:],0)
+group1 = np.mean(aligned_data[:17], 0)
+group2 = np.mean(aligned_data[18:], 0)
 
-hyp.plot([w1,w2], animate=True, zoom=2.5, save_path='animation.mp4')
+hyp.plot([group1, group2], animate=True, zoom=2.5, save_path='animation.mp4')