Add another exception to catch in `plot_with_data`

Currently, the plot_with_data function tries to check if results.posterior.log_likelihood exists using np.isnan within a try...except... block, for which the exception only catches AttributeErrors. If using, for example, the emcee sampler the results.posterior.log_likelihood values in the pandas DataFrame default to being filled with None-types, as the log_likelihood values are not set. When these are tested using np.isnan it results in a TypeError, which is not caught by the except block and the function does not work. This MR allows the except to also catch a TypeError.

It would be good to set the log_likelihood values if using emcee from the lnprobability values that it can return (but that's for another issue...)

bilby/core/result.py

@@ -804,7 +804,7 @@ class Result(object):
                 s = model_posterior.iloc[self.posterior.log_likelihood.idxmax()]
                 ax.plot(xsmooth, model(xsmooth, **s), lw=1, color='k',
                         label=maxl_label)
-        except AttributeError:
+        except (AttributeError, TypeError):
             logger.debug(
                 "No log likelihood values stored, unable to plot max")