transpose table to allow arrow serialization

src/app.py

@@ -502,26 +502,27 @@ sim_output_2 = simulator(
     random_state=randomseed_2,
 )
 
-# Make metadata dataframe
-# AF-TODO: Should be transposed and then resolve consequences
-# because right now the dataframe has mixed data types in each columns
-# which leads streamlit to complain about arrow incompatibility
+# Make metadata dataframes
 metadata = pd.DataFrame(
     {
-        "Model 1": [
+        "Model": [
             str(sim_output_1["metadata"]["model"]),
-            float(sim_output_1["choice_p"][0, 0]),
-            float(sim_output_1["rts"].mean()),
-            float(sim_output_1["metadata"]["s"]),
-        ],
-        "Model 2": [
             str(sim_output_2["metadata"]["model"]),
+        ],
+        "Choice Probability": [
+            float(sim_output_1["choice_p"][0, 0]),
             float(sim_output_2["choice_p"][0, 0]),
+        ],
+        "Mean RT": [
+            float(sim_output_1["rts"].mean()),
             float(sim_output_2["rts"].mean()),
+        ],
+        "Noise SD": [
+            float(sim_output_1["metadata"]["s"]),
             float(sim_output_2["metadata"]["s"]),
         ],
     },
-    index=["Model", "Choice Probability", "Mean RT", "Noise SD"],
+    index=["Model 1", "Model 2"],
 )
 
 col3, col4 = st.columns(2)