[updates] merged update structure

GPy/examples/classification.py

@@ -5,9 +5,13 @@
 """
 Gaussian Processes classification
 """
-import pylab as pb
 import GPy
 
+try:
+    import pylab as pb
+except:
+    pass
+
 default_seed = 10000
 
 def oil(num_inducing=50, max_iters=100, kernel=None, optimize=True, plot=True):

GPy/examples/coreg_example.py

@@ -1,5 +1,8 @@
 import numpy as np
-import pylab as pb
+try:
+    import pylab as pb
+except:
+    pass
 import GPy
 pb.ion()
 pb.close('all')

GPy/examples/non_gaussian.py

@@ -1,7 +1,10 @@
 import GPy
 import numpy as np
-import matplotlib.pyplot as plt
 from GPy.util import datasets
+try:
+    import matplotlib.pyplot as plt
+except:
+    pass
 
 def student_t_approx(optimize=True, plot=True):
     """

GPy/examples/regression.py

@@ -4,7 +4,10 @@
 """
 Gaussian Processes regression examples
 """
-import pylab as pb
+try:
+    import pylab as pb
+except:
+    pass
 import numpy as np
 import GPy
 

GPy/examples/stochastic.py

@@ -1,7 +1,10 @@
 # Copyright (c) 2012, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-import pylab as pb
+try:
+    import pylab as pb
+except:
+    pass
 import numpy as np
 import GPy
 

GPy/examples/tutorials.py

@@ -6,8 +6,11 @@
 Code of Tutorials
 """
 
-import pylab as pb
-pb.ion()
+try:
+    import pylab as pb
+    pb.ion()
+except:
+    pass
 import numpy as np
 import GPy