fixed parameter histogram plots

graphics.py

@@ -167,12 +167,14 @@ def plot_CBL_PE(exp,figtitle,parameter_id=0,plot_spread=False,ax=None):
             ax1.set_ylabel('probability density')
             #
             ax2 = fig.add_subplot(1,2,2)
-            ax2.hist(par_tran[0,:], bins=np.linspace(np.log(0.01),np.log(5),51), density=True, histtype='step', color='blue', label='initial')
+            #ax2.hist(par_tran[0,:], bins=np.linspace(np.log(0.01),np.log(5),51), density=True, histtype='step', color='blue', label='initial')
+            ax1.hist(par_tran[0,:], bins=np.linspace(-20,20,51), density=True, histtype='step', color='blue', label='initial')
             ax2.axvspan(p10beg_tran,p90beg_tran,color='blue',lw=0,alpha=0.1)
-            ax2.hist(par_tran[-1,:], bins=np.linspace(np.log(0.01),np.log(5),51), density=True, histtype='step', color='red', label='final')
+            #ax2.hist(par_tran[-1,:], bins=np.linspace(np.log(0.01),np.log(5),51), density=True, histtype='step', color='red', label='final')
+            ax1.hist(par_tran[-1,:], bins=np.linspace(-20,20,51), density=True, histtype='step', color='red', label='final')
             ax2.axvspan(p10end_tran,p90end_tran,color='red',lw=0,alpha=0.1)
             ax2.axvline(x=pt[parameter_id](exp.nr.parameter_true,kind='dir'),color='black',dashes=[3,1])
-            ax2.set_xlabel(r'log($p$)')
+            ax2.set_xlabel(r"$p^\prime")
             ax2.set_ylabel('probability density')
             #
             fig.tight_layout()