Cosmetic changes to viz utils.

Author: pravsripad

connectivity/con_viz.py

@@ -97,7 +97,7 @@ def plot_grouped_connectivity_circle(yaml_fname, con, orig_labels,
                                      subplot=111, include_legend=False,
                                      n_lines=None, fig=None, show=True,
                                      vmin=None, vmax=None, colormap='hot',
-                                     colorbar=False):
+                                     colorbar=False, colorbar_pos=(-0.3, 0.1)):
     '''
     Plot the connectivity circle grouped and ordered according to
     groups in the yaml input file provided.
@@ -164,7 +164,7 @@ def plot_grouped_connectivity_circle(yaml_fname, con, orig_labels,
                              node_colors=reordered_colors,
                              node_edgecolor='white', fig=fig,
                              fontsize_names=6, vmax=vmax, vmin=vmin,
-                             colorbar_size=0.2, colorbar_pos=(-0.3, 0.1),
+                             colorbar_size=0.2, colorbar_pos=colorbar_pos,
                              colorbar=colorbar, show=show, subplot=subplot,
                              indices=indices, title=title)
 

jumeg_plot.py

@@ -793,6 +793,7 @@ def plot_phases_polar(phases):
     plot_phases_polar(von)
     '''
 
+    import matplotlib.pyplot as pl
     # plot circular projection
     ax = pl.subplot(111, polar=True)
     radii = np.ones(phases.shape)
@@ -818,7 +819,7 @@ def plot_histo_fit_gaussian(orig_data, nbins=100, facecol='blue',
     mu, sigma = stats.norm.fit(data.flatten())  # get mu and sigma from the data
 
     # plot histogram of the data
-    n, bins, patches = pl.hist(data.flatten(), nbins, normed=1,
+    n, bins, patches = pl.hist(data.flatten(), nbins, normed=True,
                                 facecolor=facecol, alpha=0.75)
 
     # add a 'best fit' line