Comment ages

plots.py

@@ -22,15 +22,16 @@ mean_cfdi = papers_df["incoming_diversity"].mean()
 # Compute the mean CADI
 mean_citation_ages = []
 
-# Open the file and read the content in a list
-with open(
-    os.path.join(dirname, "data/nlp_papers_citation_age.txt"),
-    "r",
-    encoding="utf-8",
-) as filehandle:
-    for line in filehandle:
-        temp = float(line[:-1])
-        mean_citation_ages.append(temp)
+# Commenting out the old code
+#|# Open the file and read the content in a list
+#|with open(
+#|    os.path.join(dirname, "data/nlp_papers_citation_age.txt"),
+#|    "r",
+#|    encoding="utf-8",
+#|) as filehandle:
+#|    for line in filehandle:
+#|        temp = float(line[:-1])
+#|        mean_citation_ages.append(temp)
 
 
 def generate_cfdi_plot(input_cfdi, compute_type="paper"):