Fix remaining instance of ValueError when numerics not cast as float6…

…4s, and increase minor version number for new release.

PiperOrigin-RevId: 243966695

dopamine/colab/utils.py

@@ -84,6 +84,7 @@ def load_baselines(base_dir, verbose=False):
             single_agent_data[field_name] = (
                 single_agent_data[field_name].astype(np.float64))
           except ValueError:
+            # This will catch any non-numerics that cannot be cast to float64.
             continue
         if game in experimental_data:
           experimental_data[game] = experimental_data[game].merge(
@@ -285,5 +286,15 @@ def read_experiment(log_path,
 
       row_index += 1
 
+  # The dataframe rows are all read as 'objects', which causes a
+  # ValueError when merging below. We cast the numerics to float64s to
+  # avoid this.
+  for field_name in data_frame.keys():
+    try:
+      data_frame[field_name] = data_frame[field_name].astype(np.float64)
+    except ValueError:
+      # This will catch any non-numerics that cannot be cast to float64.
+      continue
+
   # Shed any unused rows.
   return data_frame.drop(np.arange(row_index, expected_num_rows))

setup.py

@@ -43,7 +43,7 @@
 
 setup(
     name='dopamine_rl',
-    version='2.0.2',
+    version='2.0.3',
     include_package_data=True,
     packages=find_packages(exclude=['docs']),  # Required
     package_data={'testdata': ['testdata/*.gin']},