From 0d6d377cbc61d7bf484f0042ed844386432c1883 Mon Sep 17 00:00:00 2001
From: Fabian Pedregosa <fabian.pedregosa@inria.fr>
Date: Mon, 28 Feb 2011 12:40:30 +0100
Subject: [PATCH] Examples cleanup: remove pl.close, it is now handled by
gen_rst.
---
examples/plot_covariance_estimation.py | 1 -
examples/plot_ica_vs_pca.py | 1 -
examples/plot_permutation_test_for_classification.py | 9 ++++-----
3 files changed, 4 insertions(+), 7 deletions(-)
diff --git a/examples/plot_covariance_estimation.py b/examples/plot_covariance_estimation.py
index 2e0954957e..217397e22d 100644
--- a/examples/plot_covariance_estimation.py
+++ b/examples/plot_covariance_estimation.py
@@ -40,7 +40,6 @@ negative_logliks = [-cov.fit(X_train, shrinkage=s).score(X_test) \
###############################################################################
# Plot results
-pl.close('all')
pl.loglog(shrinkages, negative_logliks)
pl.xlabel('Shrinkage')
pl.ylabel('Negative log-likelihood')
diff --git a/examples/plot_ica_vs_pca.py b/examples/plot_ica_vs_pca.py
index 76509a3cfa..4787cecda4 100644
--- a/examples/plot_ica_vs_pca.py
+++ b/examples/plot_ica_vs_pca.py
@@ -77,7 +77,6 @@ def plot_samples(S, axis_list=None):
pl.xlabel('$x$')
pl.ylabel('$y$')
-pl.close('all')
pl.subplot(2, 2, 1)
plot_samples(S / S.std())
pl.title('True Independant Sources')
diff --git a/examples/plot_permutation_test_for_classification.py b/examples/plot_permutation_test_for_classification.py
index 7f66b98e27..d41eb0c3c7 100644
--- a/examples/plot_permutation_test_for_classification.py
+++ b/examples/plot_permutation_test_for_classification.py
@@ -17,6 +17,7 @@ obtained in the first place.
print __doc__
import numpy as np
+import pylab as pl
from scikits.learn.svm import SVC
from scikits.learn.cross_val import StratifiedKFold, permutation_test_score
@@ -49,15 +50,13 @@ print "Classification score %s (pvalue : %s)" % (score, pvalue)
###############################################################################
# View histogram of permutation scores
-import pylab as pl
-pl.close('all')
pl.hist(permutation_scores, label='Permutation scores')
ylim = pl.ylim()
pl.vlines(score, ylim[0], ylim[1], linestyle='--',
- color='g', linewidth=3, label='Classification Score'
- ' (pvalue %s)' % pvalue)
+ color='g', linewidth=3, label='Classification Score'
+ ' (pvalue %s)' % pvalue)
pl.vlines(1.0 / n_classes, ylim[0], ylim[1], linestyle='--',
- color='k', linewidth=3, label='Luck')
+ color='k', linewidth=3, label='Luck')
pl.ylim(ylim)
pl.legend()
pl.xlabel('Score')
--
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