Update Climate_site/python_scripts/paper_functions_own_details.py

Climate_site/python_scripts/paper_functions_own_details.py

@@ -434,7 +434,6 @@ def main_authors( research_key_words  , details ,   size):
     dic_papers , dic_papers_ranked = ranking_own_research(  research_key_words  , details ,  False  )
     
     dic_papers_co_authors = {}
-    dic_papers_map = {}
         
     for paper in list(dic_papers_ranked.keys()):
 
@@ -455,10 +454,10 @@ def main_authors( research_key_words  , details ,   size):
                         dic_papers_co_authors[author_name_norm]["Author's id(s)"] = coauthor_id[21:]
                     else:
                         dic_papers_co_authors[author_name_norm]["Author's id(s)"] = ""
-                    dic_papers_co_authors[author_name_norm]["Number of occurence within the " + str(size) + " most related papers"] = 1
+                    dic_papers_co_authors[author_name_norm]["Number of occurence within the " + str(200) + " most related papers"] = 1
                     dic_papers_co_authors[author_name_norm]["Number of related citations"] = dic_papers[paper]["cited_by_count"]
                 else:
-                    dic_papers_co_authors[author_name_norm]["Number of occurence within the " + str(size) + " most related papers"] += 1
+                    dic_papers_co_authors[author_name_norm]["Number of occurence within the " + str(200) + " most related papers"] += 1
                     if author_name not in dic_papers_co_authors[author_name_norm]["Author's name(s)"]:
                         dic_papers_co_authors[author_name_norm]["Author's name(s)"] += ", " + author_name
                     if coauthor_id != None and coauthor_id[21:] not in dic_papers_co_authors[author_name_norm]["Author's id(s)"]:                                                              
@@ -499,11 +498,39 @@ def main_authors( research_key_words  , details ,   size):
             dic_papers_co_authors[author_name_norm]["Number of citations"] = cited_by_count
             dic_papers_co_authors[author_name_norm]["Institution_id"] = institution_id
 
+        
 
         dic_papers_co_authors = {k: v for k, v in sorted(dic_papers_co_authors.items(), key=lambda item: item[1]["Number of occurence within the " + str(200) + " most related papers"] , reverse = True)[:size]}
 
+
+        dic_papers_map = {}
+        count = 0
+        
+    
+        for author_name_norm in dic_papers_co_authors:
+        
+            institution_id = dic_papers_co_authors[author_name_norm]["Institution_id"]
+            if institution_id in dic_institutions:
+                dic_papers_map[count] = {}
+                dic_papers_map[count]["longitude"] = data["longitude"]
+                dic_papers_map[count]["latitude"] = data["latitude"]
+                dic_papers_map[count]["author"] = dic_papers_co_authors[author_name_norm]["Author's name(s)"]
+                dic_papers_map[count]["institution"] = dic_papers_co_authors[author_name_norm]["Last Known Institution"]
+                        
+                count += 1
             
-        return pd.DataFrame(dic_papers_co_authors, index = [ "Author's name(s)" , "Author's id(s)" ,  "Number of occurence within the " + str(200) + " most related papers" , "Last Known Institution" , "Number of works" , "Number of citations" ,  "Number of related citations"]).T.style.hide(axis="index")
+
+
+                
+        map_df = pd.DataFrame(dic_papers_map).T
+
+        map_df["longitude"]=map_df['longitude'].astype(float)
+        map_df['latitude']=map_df['latitude'].astype(float)
+        map_df = map_df[map_df["latitude"].notnull()]
+
+
+        
+        return pd.DataFrame(dic_papers_co_authors, index = [ "Author's name(s)" , "Author's id(s)" ,  "Number of occurence within the " + str(200) + " most related papers" , "Last Known Institution" , "Number of works" , "Number of citations" ,  "Number of related citations"]).T.style.hide(axis="index") , map_df
 
     else:
         return ("Select another category")