Suppression des colonnes inutiles.

1-enrich-with-datacite/concatenate-enrich-dois.py

@@ -63,10 +63,10 @@ if temp_rows :
 		if result[0] not in dois_added: 
 			dois_added.append(result[0])
 			df_fresh.loc[i, "doi"] = result[0]
-			df_fresh.loc[i, "relation_nbInstances"] = result[1]
-			df_fresh.loc[i, "relation_nbCitation"] = result[2]
-			if str(result[3]) != "[]": df_fresh.loc[i, "traveled_dois"] = str(result[3])
-			if str(result[4]) != "[]": df_fresh.loc[i, "all_relations"] = str(result[4])
+			if str(result[1]) != "[]": df_fresh.loc[i, "traveled_dois"] = str(result[1])
+			else: df_fresh.loc[i, "traveled_dois"] = ""	
+			if str(result[2]) != "[]": df_fresh.loc[i, "all_relations"] = str(result[2])
+			else: df_fresh.loc[i, "all_relations"] = ""
 		else:
 			to_del.append(i)
 			

1-enrich-with-datacite/z_personal_functions.py

 import requests, json
 
-def get_origin_version(doi, count=0, cited=0, history=[], first=True):
+def get_origin_version(doi, history=[], first=True):
     if first: history=[] # ligne ajoutée pour éviter certains soucis de cache où history n'est pas vide au premier appel de la fonction
-    cited = 0
     req = requests.get( f"https://api.datacite.org/dois/{doi}" )
     res = req.json()
     final = []
-    result = (doi, count, cited, history, final)
+    result = (doi, history, final)
     try:
         related = res["data"]["attributes"]["relatedIdentifiers"]
     except:
@@ -20,14 +19,13 @@ def get_origin_version(doi, count=0, cited=0, history=[], first=True):
                 ignore = True
                 elem_to_save_i = i.get("relatedIdentifier")
                 history.append([i.get("relationType"), i.get("relatedIdentifier")])
-            if i.get("relationType") == "isCitedBy" and i.get("relatedIdentifierType") == "DOI": cited += 1
             if i.get("relationType") == "IsIdenticalTo" and i.get("relatedIdentifierType") == "DOI":
                 duplicate = True
                 elem_to_save_d = i.get("relatedIdentifier")
                 history.append([i.get("relationType"), i.get("relatedIdentifier")])
         if duplicate and not(ignore):
-            result = (elem_to_save_d, count, cited, history, final)
-        if ignore: result = get_origin_version(elem_to_save_i, count+1, cited, history, False)
+            result = (elem_to_save_d, history, final)
+        if ignore: result = get_origin_version(elem_to_save_i, history, False)
     return result
 
 def get_md_from_datacite( doi ) :