From c9abe509af6d394127bbf2945a38b0e4508dbdfb Mon Sep 17 00:00:00 2001
From: Alexandre Gramfort <alexandre.gramfort@inria.fr>
Date: Sat, 27 Nov 2010 18:21:05 -0500
Subject: [PATCH] pep8 in plot_weighted_samples.py

---
 examples/svm/plot_weighted_samples.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/examples/svm/plot_weighted_samples.py b/examples/svm/plot_weighted_samples.py
index 1a55dae92d..caaaafdc67 100644
--- a/examples/svm/plot_weighted_samples.py
+++ b/examples/svm/plot_weighted_samples.py
@@ -14,7 +14,7 @@ from scikits.learn import svm
 
 # we create 20 points
 np.random.seed(0)
-X = np.r_[np.random.randn(10, 2) + [1,1], np.random.randn(10, 2)]
+X = np.r_[np.random.randn(10, 2) + [1, 1], np.random.randn(10, 2)]
 Y = [1]*10 + [-1]*10
 sample_weight = 100 * np.abs(np.random.randn(20))
 # and assign a bigger weight to the last 10 samples
@@ -27,7 +27,6 @@ clf.fit(X, Y, sample_weight=sample_weight)
 # get the separating hyperplane
 xx, yy = np.meshgrid(np.linspace(-4, 5, 500), np.linspace(-4, 5, 500))
 
-
 # plot the line, the points, and the nearest vectors to the plane
 Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])
 Z = Z.reshape(xx.shape)
@@ -35,8 +34,7 @@ Z = Z.reshape(xx.shape)
 # plot the line, the points, and the nearest vectors to the plane
 pl.set_cmap(pl.cm.bone)
 pl.contourf(xx, yy, Z, alpha=0.75)
-pl.scatter(X[:,0], X[:,1], c=Y, s=sample_weight, alpha=0.9)
+pl.scatter(X[:, 0], X[:, 1], c=Y, s=sample_weight, alpha=0.9)
 
 pl.axis('tight')
 pl.show()
-
-- 
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