Minor improvements to general running

1) Adds check if the truths are not of the correct length (to prevent
corner.corner error)
2) Improve sliding window labels
3) Adds option to plot gps seconds on the sliding window

pyfstat/grid_based_searches.py

@@ -399,7 +399,7 @@ class FrequencySlidingWindow(GridSearch):
         self.input_data = np.array(input_data)
 
     def plot_sliding_window(self, F0=None, ax=None, savefig=True,
-                            colorbar=True):
+                            colorbar=True, timestamps=False):
         data = self.data
         if ax is None:
             ax = plt.subplot()
@@ -411,7 +411,7 @@ class FrequencySlidingWindow(GridSearch):
         dts = (tmids - self.minStartTime) / 86400.
         if F0:
             frequencies = frequencies - F0
-            ax.set_ylabel('Frequency - $f_0$ [Hz]')
+            ax.set_ylabel('Frequency - $f_0$ [Hz] \n $f_0={:0.2f}$'.format(F0))
         else:
             ax.set_ylabel('Frequency [Hz]')
         twoF = twoF.reshape((len(tmids), len(frequencies)))
@@ -421,10 +421,17 @@ class FrequencySlidingWindow(GridSearch):
             cb = plt.colorbar(pax, ax=ax)
             cb.set_label('$2\mathcal{F}$')
         ax.set_xlabel(
-            r'Days from $t_\mathrm{{start}}$={}'.format(self.minStartTime))
+            r'Mid-point (days after $t_\mathrm{{start}}$={})'.format(
+                self.minStartTime))
         ax.set_title(
             'Sliding window length = {} days in increments of {} days'
-            .format(self.window_size/86400, self.window_delta/86400))
+            .format(self.window_size/86400, self.window_delta/86400),
+            )
+        if timestamps:
+            axT = ax.twiny()
+            axT.set_xlim(tmids[0]*1e-9, tmids[-1]*1e-9)
+            axT.set_xlabel('Mid-point timestamp [GPS $10^{9}$ s]')
+            ax.set_title(ax.get_title(), y=1.18)
         if savefig:
             plt.tight_layout()
             plt.savefig(

pyfstat/mcmc_based_searches.py

@@ -544,6 +544,10 @@ class MCMCSearch(core.BaseSearchClass):
 
         """
 
+        if 'truths' in kwargs and len(kwargs['truths']) != self.ndim:
+            logging.warning('len(Truths) != ndim, Truths will be ignored')
+            kwargs['truths'] = None
+
         if self.ndim < 2:
             with plt.rc_context(rc_context):
                 if fig_and_axes is None: