[plotting] got the old way in again

GPy/plotting/__init__.py

@@ -13,6 +13,7 @@ def change_plotting_library(lib):
         if lib == 'matplotlib':
             import matplotlib
             from .matplot_dep.plot_definitions import MatplotlibPlots
+            from .matplot_dep import visualize, mapping_plots, priors_plots, ssgplvm, svig_plots, variational_plots, img_plots
             current_lib[0] = MatplotlibPlots()
         if lib == 'plotly':
             import plotly
@@ -22,10 +23,11 @@ def change_plotting_library(lib):
             current_lib[0] = None
         #===========================================================================
     except (ImportError, NameError):
+        raise
         config.set('plotting', 'library', 'none')
         import warnings
         warnings.warn(ImportWarning("{} not available, install newest version of {} for plotting".format(lib, lib)))
-        
+
 from ..util.config import config
 lib = config.get('plotting', 'library')
 change_plotting_library(lib)

GPy/plotting/gpy_plot/plot_util.py

@@ -275,7 +275,7 @@ def get_x_y_var(model):
     and Y the outputs
 
     If (X, X_variance, Y) is given, this just returns.
-    
+
     :returns: (X, X_variance, Y)
     """
     # model given
@@ -285,7 +285,10 @@ def get_x_y_var(model):
     else:
         X = model.X.values
         X_variance = None
-    Y = model.Y.values
+    try:
+        Y = model.Y.values
+    except AttributeError:
+        Y = model.Y
     if sparse.issparse(Y): Y = Y.todense().view(np.ndarray)
     return X, X_variance, Y
 

GPy/plotting/matplot_dep/mapping_plots.py

@@ -7,7 +7,6 @@ try:
     from matplotlib import pyplot as pb
 except:
     pass
-from .base_plots import x_frame1D, x_frame2D
 
 
 def plot_mapping(self, plot_limits=None, which_data='all', which_parts='all', resolution=None, levels=20, samples=0, fignum=None, ax=None, fixed_inputs=[], linecol=Tango.colorsHex['darkBlue']):
@@ -52,6 +51,7 @@ def plot_mapping(self, plot_limits=None, which_data='all', which_parts='all', re
         ax = fig.add_subplot(111)
 
     plotdims = self.input_dim - len(fixed_inputs)
+    from ..gpy_plot.plot_util import x_frame1D, x_frame2D
 
     if plotdims == 1:
 

GPy/plotting/matplot_dep/variational_plots.py

@@ -94,7 +94,7 @@ def plot_SpikeSlab(parameterized, fignum=None, ax=None, colors=None, side_by_sid
             a.set_xticklabels('')
         # binary prob plot
         a = fig.add_subplot(*sub2)
-        a.bar(x,gamma[:,i],bottom=0.,linewidth=0,width=1.0,align='center')
+        a.bar(x,gamma[:,i],bottom=0.,linewidth=1.,width=1.0,align='center')
         a.set_xlim(x.min(), x.max())
         a.set_ylim([0.,1.])
     pb.draw()