Fix the computation of the plot of the PDF for physical properties in log.

CHANGELOG.md

@@ -12,6 +12,7 @@
 ### Fixed
 - The histogram bin width was not computed optimally when some models were invalid. (David Corre & Médéric Boquien)
 - Missing import in the `m2005` module. (Médéric Boquien, reported by Dominika Wylezalek)
+- The plot of the PDF could not be generated for physical properties estimated in log (Médéric Boquien)
 
 ### Optimised
 - The estimation of the physical properties is made a bit faster when all the models are valid. (Médéric Boquien)

pcigale_plots/__init__.py

@@ -79,8 +79,14 @@ def _pdf_worker(obj_name, var_name):
         Name of the analysed variable..
 
     """
-
-    fnames = glob.glob("out/{}_{}_chi2-block-*.npy".format(obj_name, var_name))
+    if var_name.endswith('_log'):
+        fnames = glob.glob("out/{}_{}_chi2-block-*.npy".format(obj_name,
+                                                               var_name[:-4]))
+        log = True
+    else:
+        fnames = glob.glob("out/{}_{}_chi2-block-*.npy".format(obj_name,
+                                                               var_name))
+        log = False
     likelihood = []
     model_variable = []
     for fname in fnames:
@@ -91,6 +97,8 @@ def _pdf_worker(obj_name, var_name):
         model_variable.append(data[1, :])
     likelihood = np.concatenate(likelihood)
     model_variable = np.concatenate(model_variable)
+    if log is True:
+        model_variable = np.log10(model_variable)
     w = np.where(np.isfinite(likelihood) & np.isfinite(model_variable))
     likelihood = likelihood[w]
     model_variable = model_variable[w]