Update app.py

app.py

@@ -67,7 +67,9 @@ def make_profession_plot(num_clusters, prof_name):
 
 def make_profession_table(num_clusters, prof_names, mod_name):
     cl_df = clusters_by_size[num_clusters]
-    return cl_df[df_models[mod_name]].apply(pd.Series).loc[prof_names]['cluster_proportions'].apply(pd.Series).reset_index().rename(columns={"index":"profession"}), cl_df[df_models[mod_name]].apply(pd.Series).loc[prof_names]['labor_fm'].apply(pd.Series).rename(columns={0:"female", 1:"male"}).reset_index().rename(columns={"index":"profession"})
+    clusters_df = cl_df[df_models[mod_name]].apply(pd.Series).loc[prof_names]['cluster_proportions'].apply(pd.Series).reset_index().rename(columns={"index":"profession"})
+    labor_df = cl_df[df_models[mod_name]].apply(pd.Series).loc[prof_names]['labor_fm'].apply(pd.Series).rename(columns={0:"female", 1:"male"}).reset_index().rename(columns={"index":"profession"})
+    return clusters_df.T, labor_df.T
     # cl_df = pd.DataFrame.from_dict(cl_dct)
     # print(mod_names)
     # mod_df = pd.DataFrame(cl_df[df_models[mod_names]])