diff --git a/media.py b/media.py
new file mode 100644
index 0000000000000000000000000000000000000000..fcafc5c44442cb163f46a6f3ef45cc288187c719
--- /dev/null
+++ b/media.py
@@ -0,0 +1,35 @@
+import csv
+from collections import defaultdict
+
+def calculate_average_elapsed(csv_file):
+    # Diccionario para almacenar la suma y el recuento de "elapsed" para cada "threadName"
+    sums_and_counts = defaultdict(lambda: [0, 0])
+
+    # Leer el archivo CSV
+    with open(csv_file, 'r') as file:
+        reader = csv.DictReader(file)
+
+        # Omitir la primera fila (encabezados)
+        next(reader)
+
+        # Iterar sobre las filas restantes
+        for row in reader:
+            threadName = row['threadName']
+            elapsed = int(row['elapsed'])
+
+            # Actualizar la suma y el recuento para el "threadName" actual
+            sums_and_counts[threadName][0] += elapsed
+            sums_and_counts[threadName][1] += 1
+
+    # Calcular la media de "elapsed" para cada "threadName"
+    averages = {threadName: sums_and_counts[threadName][0] / sums_and_counts[threadName][1] for threadName in sums_and_counts}
+
+    # Escribir los resultados en un nuevo archivo CSV
+    with open('medPeque.csv', 'w', newline='') as file:
+        writer = csv.writer(file)
+        writer.writerow(['threadName', 'average_elapsed'])
+        averages = sorted(averages.items(), key=lambda x: x[0])
+        for threadName, average_elapsed in averages:
+            writer.writerow([threadName, average_elapsed])
+
+calculate_average_elapsed('medidasPeque.csv')
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